Over the last decade the modeling and the storage of biological data has been a topic of wide interest for scientists dealing with biological and biomedical research. Currently most data is still stored in text files which leads to data redundancies and file chaos.In this paper we show how to use relational modeling techniques and relational database technology for modeling and storing biological sequence data, i.e. for data maintained in collections like EMBL or SWISS-PROT to better serve (...) the needs for these application domains.For this reason we propose a two step approach. First, we model the structure (and therefore the meaning of the) data using an Entity-Relationship approach. The ER model leads to a clean design of a relational database schema for storing and retrieving the DNA and protein data extracted from various sources. Our approach provides the clean basis for building complex biological applications that are more amenable to changes and software ports than their file-base counterparts. (shrink)

Over the last decade the modeling and the storage of biological data has been a topic of wide interest for scientists dealing with biological and biomedical research. Currently most data is still stored in text files which leads to data redundancies and file chaos.In this paper we show how to use relational modeling techniques and relational database technology for modeling and storing biological sequence data, i.e. for data maintained in collections like EMBL or SWISS-PROT to better serve (...) the needs for these application domains. (shrink)

The main idea of S-curve diagram is to assign different angle values to different nucleotide acid residues or to different protein amino acids, and then according to cos α j and sin α j, the values are accumulated to construct an S-curve diagram, which is in strict one-to-one correspondence with the biological sequence. In addition, the S-curve diagram proves to be without the degeneracy phenomenon, so that both the degeneracy problem represented by diagrams and the problem of visualization for (...) biological sequence data are solved. Meanwhile, a new approach to differentiate the similarity of biological sequences—the degree of similarity—is put forward on the basis of the S-curve diagram. To put it in detail, the least square approach is first adopted to obtain a straight line equation according to the S-curve diagram, then according to the distance formula of the point to the straight line, the average ratio of square sum for the distance between the S-curve and the straight line is calculated, and finally, the similarity of the biological sequences is presented by the new standard—the degree of similarity. As is shown by the experimental results, the S-curve diagram can better represent biological sequences within Cartesian coordinate system, and the mutation point of biological sequence. Thus, it turns out that the new standard—the degree of similarity is of obviously great advantage. (shrink)

A biologically unavoidable sequence is an infinite gender sequence which occurs in every gendered, infinite genealogical network satisfying certain tame conditions. We show that every eventually periodic sequence is biologically unavoidable (this generalizes König's Lemma), and we exhibit some biologically avoidable sequences. Finally we give an application of unavoidable sequences to cellular automata.

With the advent of synthetic biology, scientists are increasingly relying on digital sequence information, instead of physical genetic resources. This article examines the potential impact of this shift on the access and benefit-sharing (ABS) regime of the Convention on Biological Diversity (CBD) and the Nagoya Protocol. These treaties require benefit-sharing with the owners of genetic resources. However, whether “genetic resources” include digital sequence information is unsettled. The CBD conceives genetic resources as genetic material containing functional units of heredity. “Material” (...) implies tangibility, and for some scholars, “functional units of heredity,” undefined in both treaties, mean full-coding sequences. This article argues that digital sequence information obtained from physical genetic resources, full-coding or not, should be treated as genetic resources. Literal construction of the CBD risks eroding its usefulness and the ABS regime. This is because through bioinformatics, sequence information can easily be obtained from genetic resources for utilization, without physically moving them or concluding ABS agreement with owners. The CBD must evolve with scientific progress also because sequence functionality depends on the state of knowledge. These arguments are vindicated by domestic ABS laws equating genetic information with genetic resources; Nagoya Protocol provisions deeming research exploiting the genetic composition of genetic resources as utilization of genetic resources; and CBD provisions requiring the sharing of benefits from the utilization of genetic resources. Moreover, treaty interpretation and case law demand that generic, scientific terms, such as “genetic resources” and “functional units of heredity” be interpreted in an evolutionary manner to capture scientific developments. (shrink)

Recent completion of the human genome sequence is a spectacular achievement of the 20th-century biology. This achievement has opened the door for future revolutions in biological and medical sciences. By learning about the gene sequences and the individual genetic differences, scientists hope to understand the molecular basis of the normal state and the diseased state of life on one hand, and individualize medicine on the other hand. However, the human genome sequencing project was not an isolated, spectacular undertaking. (...) Rather, it was a natural extension and the culmination of the advances in the science and techniques of molecular biology. The present article is an attempt to summarize these major landmarks in the history of DNA research, beginning from the identification of “nuclein.”. (shrink)

This article proposes a new bi-directional way of understanding the convergence of biology and computing. It argues for a reciprocal interaction in which biology and computing have shaped and are currently reshaping each other. In so doing, we qualify both the view of a natural marriage and of a digital shaping of biology, which are common in the literature written by scientists, STS, and communication scholars. The DNA database is at the center of this interaction. We argue that DNA databases (...) are spaces of convergence for computing and biology that change in form, meaning, and function from the 1960s to the 2000s. The first part of the article shows how, in the 1980s, DNA sequencing shifted from passively incorporating computers to be increasingly modeled in digital coding and decoding. Information retrieval algorithms, reciprocally, were altered according to the peculiarities of DNA in the first sequence-storage databases. The second part of the article investigates the impact of these reciprocal interactions and globalization on the organization of research centers, ways of conducting big science, and scientific values. Through convergence and new technologies such as data mining, biology and computing were transformed technologically, institutionally, and culturally into a new bio-data enterprise called genomics. (shrink)

Communication is an important feature of the living world that mainstream biology fails to adequately deal with. Applying two main disciplines can be contemplated to fill in this gap: semiotics and information theory. Semiotics is a philosophical discipline mainly concerned with meaning; applying it to life already originated in biosemiotics. Information theory is a mathematical discipline coming from engineering which has literal communication as purpose. Biosemiotics and information theory are thus concerned with distinct and complementary possible meanings of the word (...) ‘communication’. Since literal communication needs to be secured so as to enable semantics being communicated, information theory is a necessary prerequisite to biosemiotics. Moreover, heredity is a purely literal communication process of capital importance fully relevant to literal communication, hence to information theory. A short introduction to discrete information theory is proposed, which is centred on the concept of redundancy and its use in order to make sequences resilient to errors. Information theory has been an extremely active and fruitful domain of researches and the motor of the tremendous progress of communication engineering in the last decades. Its possible connections with semantics and linguistics are briefly considered. Its applications to biology are suggested especially as regards error-correcting codes which are mandatory for securing the conservation of genomes. Biology needs information theory so biologists and communication engineers should closely collaborate. (shrink)

A model of gestural sequencing in speech is proposed that aspires to producing biologically plausible fluent and efficient movement in generating an utterance. We have previously proposed a modification of the well-known task dynamic implementation of articulatory phonology such that any given articulatory movement can be associated with a quantification of effort (Simko & Cummins, 2010). To this we add a quantitative cost that decreases as speech gestures become more precise, and hence intelligible, and a third cost component that places (...) a premium on the duration of an utterance. Together, these three cost elements allow us to derive algorithmically optimal sequences of gestures and dynamical parameters for generating articulator movement. We show that the optimized movement displays many timing characteristics that are representative of real speech movement, capturing subtle details of relative timing between gestures. Optimal movement sequences also display invariances in timing that suggest syllable-level coordination for CV sequences. We explore the behavior of the model as prosodic context is manipulated in two dimensions: clarity of articulation and speech rate. Smooth, fluid, and efficient movements result. (shrink)

In recent years, some scholars have claimed that humans are unique in their capacity and motivation to engage in cooperative communication and extensive, fast-paced social interactions. While research on gestural communication in great apes has offered important findings concerning the gestural repertoires of different species, very little is known about the sequential organization of primates’ communicative behavior during interactions. Drawing on a conversation analytic framework, this paper addresses this gap by investigating the sequential organization of bonobo mother-infant interactions, and more (...) specifically, how individuals solicit carries from one another. It shows how bonobos establish participation frameworks before producing a carry request gesture and how the ensuing communicative actions can be organized in adjacency-pair sequences. Moreover, the timing between the initiation of an action and its response is similar to what has been documented in adult human interaction. Finally, it outlines some of the orderly practices bonobos use to deal with the absence of response from the addressed participants in carry sequences. Keywords: adjacency pair; pan paniscus; conversation analysis; gestures; interactional time; sequence organization. (shrink)

DNA‐based typing methods are increasingly important for the characterisation of bacteria. They are used to monitor the epidemiology of pathogens with public health significance and also to help understand the evolution and population biology of bacteria. However, these methods require accuracy and reproducibility and are often of a high‐throughput nature. Laboratory automation is therefore the key to the successful implementation of such methods. This review describes the impact of automation on DNA‐based typing methods, particularly multi‐locus sequence typing (MLST), and the (...) method components that can be automated. BioEssays 24:858–862, 2002. © 2002 Wiley Periodicals, Inc. (shrink)

We define DNA sequence by a bottom-up approach, starting with a real sequence from an actual biological sample. By providing axioms for notions of string, substring and strand, we formally define a DNA sequence, and a DNA molecule as composed of two antiparallel strands. We note that a sequence is a kind of group in which each member stands a certain relation to every other. The spatial aspects of a DNA sequence are also described.

Historians of molecular biology have paid significant attention to the role of scientific instruments and their relationship to the production of biological knowledge. For instance, Lily Kay has examined the history of electrophoresis, Boelie Elzen has analyzed the development of the ultracentrifuge as an enabling technology for molecular biology, and Nicolas Rasmussen has examined how molecular biology was transformed by the introduction of the electron microscope (Kay 1998, 1993; Elzen 1986; Rasmussen 1997). 1 Collectively, these historians have demonstrated how (...) instruments and other elements of the material culture of the laboratory have played a decisive role in determining the kind and quantity of .. (shrink)

The three‐dimensional structure of DNA depends subtly on its sequence, and this property is used by the proteins that regulate gene expression to locate their target sequences. Despite the large body of experimental data that has been accumulated on the relationship between sequence and DNA structure, we still do not fully understand the molecular basis for these properties, nor can we predict a three‐dimensional structure from a given sequence. We have been using computer modelling to tackle these problems. Some (...) of our results and the implications for understanding the biological role of key sequences are discussed here. (shrink)

The three‐dimensional structure of DNA depends subtly on its sequence, and this property is used by the proteins that regulate gene expression to locate their target sequences. Despite the large body of experimental data that has been accumulated on the relationship between sequence and DNA structure, we still do not fully understand the molecular basis for these properties, nor can we predict a three‐dimensional structure from a given sequence. We have been using computer modelling to tackle these problems. Some (...) of our results and the implications for understanding the biological role of key sequences are discussed here. (shrink)

The increasing importance of computational techniques in post-genomic life science research calls for new forms and combinations of expertise that cut across established disciplinary boundaries between computing and biology. These are most marked in large scale gene sequencing facilities. Here new ways of organising knowledge production, drawing on industrial models, have been perceived as pursuing efficiency and control to the potential detriment of academic autonomy and scientific quality. We explore how these issues are played out in the case of BGI (...) (Beijing Genomics Institute prior to 2008). BGI (in Pinyin, Hua Da Jiyin– Big China Genome) is today the world’s largest centre for gene sequencing research. Semi-detached from traditional academic institutions, BGI has developed distinctive models for organising research and for developing expertise, informed by practices in US Information Technology and Life Science Laboratories, that differ from existing models of interdisciplinary research in academic institutions. (shrink)

In this work we report a simple way to assign a single numeric value in a three-dimensional space to a given nucleotide sequence. The method reported allows for theoretical comparisons of naturally occurring nucleotide sequences.

Over these last few years once again the relationship between biology and information has been debated with great liveliness. The crucial points concern the meaning of the term ‘information’ and whether the so-called “information talk” is really necessary inside biology.I will proceed by first commenting on some points of the debate (§ 2), then showing that a biophysical account of the process from the nucleotide sequences to the correlated amino acid sequences is possible (§ 3). In this way, (...) I will suggest that a satisfying account of that process can be offered without entering the quicksand of information. (shrink)

Collecting, comparing, and computing molecular sequences are among the most prevalent practices in contemporary biological research. They represent a specific way of producing knowledge. This paper explores the historical development of these practices, focusing on the work of Margaret O. Dayhoff, Richard V. Eck, and Robert S. Ledley, who produced the first computer-based collection of protein sequences, published in book format in 1965 as the Atlas of Protein Sequence and Structure. While these practices are generally associated with (...) the rise of molecular evolution in the 1960s, this paper shows that they grew out of research agendas from the previous decade, including the biochemical investigation of the relations between the structures and function of proteins and the theoretical attempt to decipher the genetic code. It also shows how computers became essential for the handling and analysis of sequence data. Finally, this paper reflects on the relationships between experimenting and collecting as two distinct “ways of knowing” that were essential for the transformation of the life sciences in the twentieth century. (shrink)

Almost all biomedical research to date has relied upon mean measurements from cell populations, however it is well established that what it is observed at this macroscopic level can be the result of many interactions of several different single cells. Thus, the observable macroscopic ‘average’ cannot outright be used as representative of the ‘average cell’. Rather, it is the resulting emerging behaviour of the actions and interactions of many different cells. Single‐cell RNA sequencing (scRNA‐Seq) enables the comparison of the transcriptomes (...) of individual cells. This provides high‐resolution maps of the dynamic cellular programmes allowing us to answer fundamental biological questions on their function and evolution. It also allows to address medical questions such as the role of rare cell populations contributing to disease progression and therapeutic resistance. Furthermore, it provides an understanding of context‐specific dependencies, namely the behaviour and function that a cell has in a specific context, which can be crucial to understand some complex diseases, such as diabetes, cardiovascular disease and cancer. Here, we provide an overview of scRNA‐Seq, including a comparative review of emerging technologies and computational pipelines. We discuss the current and emerging applications and focus on tumour heterogeneity a clear example of how scRNA‐Seq can provide new understanding of a complex disease. Additionally, we review the limitations and highlight the need of powerful computational pipelines and reproducible protocols for the broader acceptance of this technique in basic and clinical research. (shrink)

It’s recently been argued that biological fitness can’t change over the course of an organism’s life as a result of organisms’ behaviors. However, some characterizations of biological function and biological altruism tacitly or explicitly assume that an effect of a trait can change an organism’s fitness. In the first part of the paper, I explain that the core idea of changing fitness can be understood in terms of conditional probabilities defined over sequences of events in an (...) organism’s life. The result is a notion of “conditional fitness” which is static but which captures intuitions about apparent behavioral effects on fitness. The second part of the paper investigates the possibility of providing a systematic foundation for conditional fitness in terms of spaces of sequences of states of an organism and its environment. I argue that the resulting “organism–environment history conception” helps unify diverse biological perspectives, and may provide part of a metaphysics of natural selection. (shrink)

The launch of a revolutionary new scientific theory represents a rare occasion on which the apparently cumulative development of science might be influenced by particular events. Yet in the case of the Darwinian revolution it is often claimed that the theory of evolution by natural selection would have emerged more or less inevitably, given the scientific and cultural circumstances prevailing in mid-Victorian Britain. This essay challenges that claim by arguing that if Darwin had not been there to write his Origin (...) of Species the subsequent development of biology would have occurred along a line that steadily diverged from the sequence of events we actually experienced. There would certainly have been an evolutionary movement in the late nineteenth century, but there would have been no selection theory to disturb the progressionist assumptions of the time. A totally non-Darwinian evolutionism might not have generated the challenges that led to the emergence of modern genetics in the early twentieth century, resulting in a very different understanding of the relationship between development, heredity, and environment. (shrink)

Collecting, comparing, and computing molecular sequences are among the most prevalent practices in contemporary biological research. They represent a specific way of producing knowledge. This paper explores the historical development of these practices, focusing on the work of Margaret O. Dayhoff, Richard V. Eck, and Robert S. Ledley, who produced the first computer-based collection of protein sequences, published in book format in 1965 as the Atlas of Protein Sequence and Structure. While these practices are generally associated with (...) the rise of molecular evolution in the 1960s, this paper shows that they grew out of research agendas from the previous decade, including the biochemical investigation of the relations between the structures and function of proteins and the theoretical attempt to decipher the genetic code. It also shows how computers became essential for the handling and analysis of sequence data. Finally, this paper reflects on the relationships between experimenting and collecting as two distinct "ways of knowing" that were essential for the transformation of the life sciences in the twentieth century. (shrink)

During the course of evolution, variations of a protein sequence is an ongoing phenomenon however limited by the need to maintain its structural and functional integrity. Deciphering the evolutionary path of a protein is thus of fundamental interest. With the development of new methods to visualize high dimension spaces and the improvement of phylogenetic analysis tools, it is possible to study the evolutionary trajectories of proteins in the sequence space. Using the data-driven high-dimensional scaling method, we show that it is (...) possible to predict and represent potential evolutionary trajectories by representing phylogenetic trees into a 3D projection of the sequence space. With the case of the aminodeoxychorismate synthase, an enzyme involved in folate synthesis, we show that this representation raises interesting questions about the complexity of the evolution of a given biological function, in particular concerning its capacity to explore the sequence space. (shrink)

A major challenge for The Cancer Genome Atlas (TCGA) Project is solving the high level of genetic and epigenetic heterogeneity of cancer. For the majority of solid tumors, evolution patterns are stochastic and the end products are unpredictable, in contrast to the relatively predictable stepwise patterns classically described in many hematological cancers. Further, it is genome aberrations, rather than gene mutations, that are the dominant factor in generating abnormal levels of system heterogeneity in cancers. These features of cancer could significantly (...) reduce the impact of the sequencing approach, as it is only when mutated genes are the main cause of cancer that directly sequencing them is justified. Many biological factors (genetic and epigenetic variations, metabolic processes) and environmental influences can increase the probability of cancer formation, depending on the given circumstances. The common link between these factors is the stochastic genome variations that provide the driving force behind the cancer evolutionary process within multiple levels of a biological system. This analysis suggests that cancer is a disease of probability and the most‐challenging issue to the TCGA project, as well as the development of general strategies for fighting cancer, lie at the conceptual level. BioEssays 29:783–794, 2007. © 2007 Wiley Periodicals, Inc. (shrink)

Biological motion is the phenomenon of recognizing a human form out of moving point-light dots, where both bottom–up and top–down processing mechanisms have been reported. This study reviews available psychological and neuroscientific evidence, and it assesses attempts either to assimilate biological motion to other structure-from-motion cases or to include biological motion into a visual “social cognition” subsystem . While neither theoretical option seems to accommodate all relevant psychological results, the study proposes that biological motion may be (...) an object recognition task, inside the framework of Pylyshyn’s sequence of data-driven and cognitive mechanisms. This implies that a bottom–up object construction out of two-dimensional stimulus information precedes a top–down, but emotionally significant categorization of a particular human movement. Recognition of biological motion may be an example of visual processing in general. (shrink)

Hox proteins are part of the conserved superfamily of homeodomain‐containing transcription factors and play fundamental roles in shaping animal body plans in development and evolution. However, molecular mechanisms underlying their diverse and specific biological functions remain largely enigmatic. Here, we have analyzed Hox sequences from the main evolutionary branches of the Bilateria group. We have found that four classes of Hox protein signatures exist, which together provide sufficient support to explain how different Hox proteins differ in their control (...) and function. The homeodomain and its surrounding sequences accumulate nearly all signatures, constituting an extended module where most of the information distinguishing Hox proteins is concentrated. Only a small fraction of these signatures has been investigated at the functional level, but these show that approaches relying on Hox protein alterations still have a large potential for deciphering molecular mechanisms of Hox differential control. (shrink)

A replicator is simply something that makes copies of itself. There are hypothetical replicators (e.g., self-catalyzing chemical cycles) that are suspected to be unable to exhibit heritable variation. Variation in any of their constituent molecules would not lead them to produce offspring with those new variant molecules. Copying, such as in DNA replication or in xerox machines, allows any sequence to be remade and then sequence variations to be inherited. This distinction has been used against non-RNA-world hypotheses: without RNA replication (...) systems have no capacity to exhibit heritable variation. However, is copying the only way to have heritable variation? This article suggests that evolution can happen without anything being copied and that, in fact, RNA copying is too complex to arise spontaneously as the first pre-biotic system. There would then be a historical gradation of systems from non-alive to alive in which the capacity to have heritable changes would progressively increase and in which copying, as in template-based RNA-replication, would be a crucial but relatively late event. In addition, this article proposes a way by which RNA replication could have arisen, after systems able to evolve arose, as a crucial innovation and how that innovation spread over existing evolutionary systems and became a major driver of subsequent evolution. (shrink)

The rise of molecular epigenetics over the last few years promises to bring the discourse about the sociality and susceptibility to environmental influences of the brain to an entirely new level. Epigenetics deals with molecular mechanisms such as gene expression, which may embed in the organism “memories” of social experiences and environmental exposures. These changes in gene expression may be transmitted across generations without changes in the DNA sequence. Epigenetics is the most advanced example of the new postgenomic and context-dependent (...) view of the gene that is making its way into contemporary biology. In my article I will use the current emergence of epigenetics and its link with neuroscience research as an example of the new, and in a way unprecedented sociality of contemporary biology. After a review of the most important developments of epigenetic research, and some of its links with neuroscience, in the second part I reflect on the novel challenges that epigenetics presents for the social sciences for a re-conceptualization of the link between the biological and the social in a postgenomic age. Although epigenetics remains a contested, hyped, and often uncritical terrain, I claim that especially when conceptualized in broader non-genecentric frameworks,. (shrink)

The foundations of systematics lie in ontology, not in subjective epistemology. Systems and their elements should be distinguished from classes; only the latter are constructed from similarities. The term classification should be restricted to ordering into classes; ordering according to systematic relations may be called systematization.The theory of organization levels portrays the real world as a hierarchy of open systems, from energy quanta to ecosystems; followingHartmann these systems as extended in time are considered the primary units of reality. Organization levels (...) should be distinguished from levels of differentiation within each organization level.Certain biological systems, such as species, continue to be misinterpreted as classes, particularly by logicians unfamiliar with modern biological theory. Replacement of Aristotelian definitions of species by “polytypic” definitions achieves nothing, because species are individual systems which can be defined from an ontological viewpoint only as wholes. The dispute whether classes are real per se or only in individuals is of no scientific importance; irrespective of which view is taken, any ordering of physical objects into classes constitutes an hypothesis about the structure of the real world.The distinction between essential and contingent characters is relevant only to classification. There are no universal rules for evaluating characters for purposes of systematization. Character statements do not form separate linear sequences. The search for “unit characters” in an absolute sense is futile. All real characters are reducible to relations and are in principle measurable, although there are limitations on the extent to which this can be presently achieved.The concept of the sexual species is fundamental to theories of biosystematics. Sexual species may be defined as lineages consisting at any given time of series of populations between which genetic exchange can occur and delimited in time by two successive processes of speciation. Linnaean nomenclature needs modification; in its traditional form it is appropriate only to non-truncated hierarchies, whereas real phylogenies form truncated hierarchies. In consequence of the distinction between systematization and classification it is concluded that, while taxa may be classified into age classes or evolutionary grades, their limits as taxa can be no different in either case. Classification into evolutionary grades remains an imprecise endeavour, since no general measure of evolutionary differentiation has been devised.The spatial and temporal extent of ecosystems, the postulated basic units of ecosystematics, remains unclarified. Nevertheless there are grounds for expecting progress in this field as the energetic relations between organisms become better understood. Biotic communities are not “abstract” classes, but systematic units. Physiognomic classification should not be confused with systematization of plant communities; both approaches contribute to an understanding of vegetational structure. (shrink)

The theory of numbers, the theory of computation and well-known biological and neurological studies on cognition and consciousness all indicate the concept of recursion as their common denominator. Mathematical recursion owes its meaning and properties to a dual relationship between its results, which always constitute a sequence, and the operator that generated them, which is instead invariant. This article proposes that this duality in recursion originates from the duality between the biological homeostatic equilibrium in living systems and the (...) adaptive physico-chemical changes required to sustain such equilibria. Such duality gives order and meaning to the experiences of a living system. One of the many implications of this innovative perspective is that this duality can decouple computational results from our intuitive order relations, and that this can cause a rarefaction of the capacity of digital systems to convey communication and favour adaptation to the environment. (shrink)

In this work we report a simple way to measure the similarity between two nucleotide sequences by using graph theory and information theory. This method reported allows for theoretical comparisons of naturally occurring nucleotide sequences.

Throughout art history, numerous artists have explored connections to science. In the society of today, the relationship between art and biology has been acquiring special visibility. Moreover, the current importance given to science and technology by today’s public opinion directly drives an increased awareness about the relationship between art and science. The public has been eagerly following breakthroughs in scientific research, albeit with mixed feelings: simultaneously awe, hope and fear for its potential misuse. Such awareness about biological sciences and (...) biotechnology has been having an increasing influence over artists, where the artist is no longer a mere observer of the scientific research and not quite a science researcher, but rather an art researcher. This particular position has led to the development of strategies to promote the exploration of possibilities deriving from a cross-talk between artists and scientists. This is a new art practice, based on a ‘risk-based’ situation; a timeless research strategy to develop new methods of practice, new media and new ways to manipulate materials for artistic expression. This is art research. During the twentieth century, the key scientific advances – such as the discovery of the DNA structure, in vitro fertilization, transgenesis or the sequencing of the human genome (in the twenty-first century) – were perceived by society in diverse ways. The progressive incorporation of those concepts by society itself led to a point where biology and the medical sciences became the most promising areas of science. It is therefore not surprising that those same scientific disciplines have marked the development of the artistic discourse in a tremendous fashion, as well as also influencing all other areas of the contemporary society. Furthermore, these artworks explore new media, described as ‘moist’ in that they integrate dry in silico computer components with wet living biological systems. (shrink)

Explaining the complex dynamics exhibited in many biological mechanisms requires extending the recent philosophical treatment of mechanisms that emphasizes sequences of operations. To understand how nonsequentially organized mechanisms will behave, scientists often advance what we call dynamic mechanistic explanations. These begin with a decomposition of the mechanism into component parts and operations, using a variety of laboratory-based strategies. Crucially, the mechanism is then recomposed by means of computational models in which variables or terms in differential equations correspond to (...) properties of its parts and operations. We provide two illustrations drawn from research on circadian rhythms. Once biologists identified some of the components of the molecular mechanism thought to be responsible for circadian rhythms, computational models were used to determine whether the proposed mechanisms could generate sustained oscillations. Modeling has become even more important as researchers have recognized that the oscillations generated in individual neurons are synchronized within networks; we describe models being employed to assess how different possible network architectures could produce the observed synchronized activity. (shrink)

This seminal, multidisciplinary book shows how mathematics can be used to study the first principles of DNA. Most importantly, it enriches the so-called "Chargaff's grammar of biology" by providing the conceptual theoretical framework necessary to generalize Chargaff's rules. Starting with a simple example of DNA mathematical modeling where human nucleotide frequencies are associated to the Fibonacci sequence and the Golden Ratio through an optimization problem, its breakthrough is showing that the reverse, complement and reverse-complement operators defined over oligonucleotides induce a (...) natural set partition of DNA words of fixed-size. These equivalence classes, when organized into a matrix form, reveal hidden patterns within the DNA sequence of every living organism. Intended for undergraduate and graduate students both in mathematics and in life sciences, it is also a valuable resource for researchers interested in studying invariant genomic properties. (shrink)

Phylogenies are increasingly prominent across all of biology, especially as DNA sequencing makes more and more trees available. However, their utility is compromised by widespread misconceptions about what phylogenies can tell us, and improved tree thinking is crucial. The most-serious problem comes from reading trees as ladders from left to right - many biologists assume that species-poor lineages that appear early branching or basal are ancestral - we call this the primitive lineage fallacy. This mistake causes misleading inferences about changes (...) in individual characteristics and leads to misrepresentation of the evolutionary process. The problem can be rectified by considering that modern phylogenies of present-day species and genes show relationships among evolutionary cousins. Emphasizing that these are extant entities in the 21st century will help correct inferences about ancestral characteristics, and will enable us to leave behind 19th century notions about the ladder of progress driving evolution. (shrink)

In my field, animal developmental biology, and in what could be regarded as its “deep time derivative,” the evolutionary biology of the animal body plan, there exist two kinds of experimentally supported causal explanation. These can be described as “rooted” and “unrooted.” Rooted causal explanation provides logical links to and from the genomic regulatory code, extending right into the genomic sequences that control regulatory gene expression. The genomic regulatory code ultimately determines the developmental process in a direct way, since (...) subsequent developmental events all depend directly and specifically on what regulatory genes are being expressed and where in the developing organism they are being expressed.. (shrink)

Biological type specimens are a particular kind of voucher specimen stored in natural history collections. Their special status and practical use are discussed in relation to the description and naming of taxonomic zoological diversity. Our current system, known as Linnaean nomenclature, is governed by the International Code of Zoological Nomenclature. The name of a species is fixed by its name-bearing type specimen, linking the scientific name of a species to the type specimen first designated for that species. The name-bearing (...) type specimen is not necessarily a typical example of the species, while establishment of the boundaries of a species requires empirical taxonomic studies. The International Code of Zoological Nomenclature allows for the naming of new species in the absence of preserved specimens. However, photos and DNA sequences should not function as primary type material, while new species should not be described and named without deposition of at least one type specimen in a collection. Philosophically, species are individuals, spatiotemporally restricted entities. Therefore, Linnaean species names are proper names, which do not define the taxon but serve as a label, providing an ostensive definition of a species. Paratypes have no name-bearing function but, nevertheless, are highly valued specimens in natural history collections. Paratypes should be restricted to those specimens originating from the same sample as the holotype. Diagnosis of a species taxon involves establishment of a connection between a Linnaean name and determination of the boundaries of the species. A first step in this process is the choice of an appropriate species concept. It is not the examination of holotypes and paratypes that necessarily provides the best estimate of the taxonomic boundaries of a species, but this is facilitated by a set of voucher specimens known as the hypodigm. Dissatisfaction with the present nomenclatural code led some researchers to propose emendations. Other taxonomists suggested abandoning Linnaean nomenclature and proposed the alternative PhyloCode, albeit that it relegates the naming of species taxa to the traditional nomenclatural codes. (shrink)

Multiple sequence alignment is one of the major problems that can be encountered in the bioinformatics field. MSA consists in aligning a set of biological sequences to extract the similarities between them. Unfortunately, this problem has been shown to be NP-hard. In this article, a new algorithm was proposed to deal with this problem; it is based on a quantum-inspired cuckoo search algorithm. The other feature of the proposed approach is the use of a randomized progressive alignment method (...) based on a hybrid global/local pairwise algorithm to construct the initial population. The results obtained by this hybridization are very encouraging and show the feasibility and effectiveness of the proposed solution. (shrink)

To analyse the biological role of 5‐methylation of cytosine residues in DNA requires precise and efficient methods for detecting individual 5‐methylcytosines (5‐MeCs) in genomic DNA. The methods developed over the past decade rely on either differential enzymatic or chemical cleavage of DNA, or more recently on differential sensitivity to chemical conversion of one base to another. The most commonly used methods for studying the methylation profile of DNA, including the bisulphite base‐conversion method, are reviewed.