Results for 'gene annotation'

970 found
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  1.  31
    New genes expressed in human brains: Implications for annotating evolving genomes.Yong E. Zhang, Patrick Landback, Maria Vibranovski & Manyuan Long - 2012 - Bioessays 34 (11):982-991.
    New genes have frequently formed and spread to fixation in a wide variety of organisms, constituting abundant sets of lineage‐specific genes. It was recently reported that an excess of primate‐specific and human‐specific genes were upregulated in the brains of fetuses and infants, and especially in the prefrontal cortex, which is involved in cognition. These findings reveal the prevalent addition of new genetic components to the transcriptome of the human brain. More generally, these findings suggest that genomes are continually evolving in (...)
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  2. Gene Ontology annotations: What they mean and where they come from.David P. Hill, Barry Smith, Monica S. McAndrews-Hill & Judith A. Blake - 2008 - BMC Bioinformatics 9 (5):1-9.
    The computational genomics community has come increasingly to rely on the methodology of creating annotations of scientific literature using terms from controlled structured vocabularies such as the Gene Ontology (GO). We here address the question of what such annotations signify and of how they are created by working biologists. Our goal is to promote a better understanding of how the results of experiments are captured in annotations in the hope that this will lead to better representations of biological reality (...)
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  3. Dependence relationships between Gene Ontology terms based on TIGR gene product annotations.Anand Kumar, Barry Smith & Christian Borgelt - 2004 - Proceedings of the 3rd International Workshop on Computational Terminology 2004:31-38.
    The Gene Ontology is an important tool for the representation and processing of information about gene products and functions. It provides controlled vocabularies for the designations of cellular components, molecular functions, and biological processes used in the annotation of genes and gene products. These constitute three separate ontologies, of cellular components), molecular functions and biological processes, respectively. The question we address here is: how are the terms in these three separate ontologies related to each other? We (...)
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  4.  41
    MicroRNA annotation of plant genomes − Do it right or not at all.Richard S. Taylor, James E. Tarver, Alireza Foroozani & Philip C. J. Donoghue - 2017 - Bioessays 39 (2):1600113.
    MicroRNAs are non‐coding regulators of gene expression and key factors in development, disease, and targets for bioengineering. Consequently, microRNAs have become essential elements of already burgeoning draft plant genome descriptions where their annotation is often particularly poor, contributing unduly to the corruption of public databases. Using the Citrus sinensis as an example, we highlight and review common failings of miRNAome annotations. Understanding and exploiting the role of miRNAs in plant biology will be stymied unless the research community acts (...)
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  5. Annotating affective neuroscience data with the Emotion Ontology.Janna Hastings, Werner Ceusters, Kevin Mulligan & Barry Smith - 2012 - In Janna Hastings, Werner Ceusters, Kevin Mulligan & Barry Smith, Third International Conference on Biomedical Ontology. ICBO. pp. 1-5.
    The Emotion Ontology is an ontology covering all aspects of emotional and affective mental functioning. It is being developed following the principles of the OBO Foundry and Ontological Realism. This means that in compiling the ontology, we emphasize the importance of the nature of the entities in reality that the ontology is describing. One of the ways in which realism-based ontologies are being successfully used within biomedical science is in the annotation of scientific research results in publicly available databases. (...)
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  6. No wisdom in the crowd: genome annotation at the time of big data - current status and future prospects.Antoine Danchin - 2018 - Microbial Biotechnology 11 (4):588-605.
    Science and engineering rely on the accumulation and dissemination of knowledge to make discoveries and create new designs. Discovery-driven genome research rests on knowledge passed on via gene annotations. In response to the deluge of sequencing big data, standard annotation practice employs automated procedures that rely on majority rules. We argue this hinders progress through the generation and propagation of errors, leading investigators into blind alleys. More subtly, this inductive process discourages the discovery of novelty, which remains essential (...)
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  7.  27
    The Protein‐Coding Human Genome: Annotating High‐Hanging Fruits.Klas Hatje, Stefanie Mühlhausen, Dominic Simm & Martin Kollmar - 2019 - Bioessays 41 (11):1900066.
    The major transcript variants of human protein‐coding genes are annotated to a certain degree of accuracy combining manual curation, transcript data, and proteomics evidence. However, there is considerable disagreement on the annotation of about 2000 genes—they can be protein‐coding, noncoding, or pseudogenes—and on the annotation of most of the predicted alternative transcripts. Pure transcriptome mapping approaches seem to be limited in discriminating functional expression from noise. These limitations have partially been overcome by dedicated algorithms to detect alternative spliced (...)
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  8. Risks associated with genetic modification: – An annotated bibliography of Peer reviewed natural science publications. [REVIEW]Sean A. Weaver & Michael C. Morris - 2005 - Journal of Agricultural and Environmental Ethics 18 (2):157-189.
    We present an annotated bibliography of peer reviewed scientific research highlighting the human health, animal welfare, and environmental risks associated with genetic modification. Risks associated with the expression of the transgenic material include concerns over resistance and non-target effects of crops expressing Bt toxins, consequences of herbicide use associated with genetically modified herbicide-tolerant plants, and transfer of gene expression from genetically modified crops through vertical and horizontal gene transfer. These risks are not connected to the technique of genetic (...)
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  9. Controlled vocabularies in bioinformatics: A case study in the Gene Ontology.Barry Smith & Anand Kumar - 2004 - Drug Discovery Today: Biosilico 2 (6):246-252.
    The automatic integration of information resources in the life sciences is one of the most challenging goals facing biomedical informatics today. Controlled vocabularies have played an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources secure in the knowledge that the same terms will also represent the same entities on all occasions of use. One of the most impressive achievements in this regard is the Gene Ontology (GO), which is rapidly acquiring (...)
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  10. A Defense of Syntax-Based Gene Concepts in Postgenomics: Genes as Modular Subroutines in the Master Genomic Program.Tudor M. Baetu - 2011 - Philosophy of Science 78 (5):712-723.
    The purpose of this article is to update and defend syntax-based gene concepts. I show how syntax-based concepts can and have been extended to accommodate complex cases of processing and gene expression regulation. In response to difficult cases and causal parity objections, I argue that a syntax-based approach fleshes out a deflationary concept defining genes as genomic sequences and organizational features of the genome contributing to a phenotype. These organizational features are an important part of accepted molecular explanations, (...)
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  11. NCG 4.0: the network of cancer genes in the era of massive mutational screenings of cancer genomes.Omer An, Pendino Vera, D'Antonio Matteo, Ratti Emanuele, Gentilini Marco & Ciccarelli Francesca - 2014 - Database: The Journal of Biological Databases and Curation 2014.
    NCG 4.0 is the latest update of the Network of Cancer Genes, a web-based repository of systems-level properties of cancer genes. In its current version, the database collects information on 537 known (i.e. experimentally supported) and 1463 candidate (i.e. inferred using statistical methods) cancer genes. Candidate cancer genes derive from the manual revision of 67 original publications describing the mutational screening of 3460 human exomes and genomes in 23 different cancer types. For all 2000 cancer genes, duplicability, evolutionary origin, expression, (...)
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  12. OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target Gene Interaction data.Huang Jingshan, Gutierrez Fernando, J. Strachan Harrison, Dou Dejing, Huang Weili, A. Blake Judith, Barry Smith, Eilbeck Karen, A. Natale Darren & Lin Yu - 2016 - Journal of Biomedical Semantics 7 (1):1.
    In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for (...)
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  13.  53
    Identifying (non‐)coding RNAs and small peptides: Challenges and opportunities.Andrea Pauli, Eivind Valen & Alexander F. Schier - 2015 - Bioessays 37 (1):103-112.
    Over the past decade, high‐throughput studies have identified many novel transcripts. While their existence is undisputed, their coding potential and functionality have remained controversial. Recent computational approaches guided by ribosome profiling have indicated that translation is far more pervasive than anticipated and takes place on many transcripts previously assumed to be non‐coding. Some of these newly discovered translated transcripts encode short, functional proteins that had been missed in prior screens. Other transcripts are translated, but it might be the process of (...)
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  14.  15
    Detecting Evolutionary Forces in Language Change.Mitchell Newberry, Ahern G., A. Christopher, Robin Clark & Joshua B. Plotkin - 2017 - Nature Publishing Group 551 (7679):223–226.
    Both language and genes evolve by transmission over generations with opportunity for differential replication of forms. The understanding that gene frequencies change at random by genetic drift, even in the absence of natural selection, was a seminal advance in evolutionary biology. Stochastic drift must also occur in language as a result of randomness in how linguistic forms are copied between speakers. Here we quantify the strength of selection relative to stochastic drift in language evolution. We use time series derived (...)
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  15.  51
    From songs to synapses: Molecular mechanisms of birdsong memory.Sanne Moorman, Claudio V. Mello & Johan J. Bolhuis - 2011 - Bioessays 33 (5):377-385.
    There are remarkable behavioral, neural, and genetic similarities between the way songbirds learn to sing and human infants learn to speak. Furthermore, the brain regions involved in birdsong learning, perception, and production have been identified and characterized in detail. In particular, the caudal medial nidopallium (the avian analog of the mammalian auditory‐association cortex) has been found to contain the neural substrate of auditory memory, paving the way for analyses of the underlying molecular mechanisms. Recently, the zebra finch genome was sequenced, (...)
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  16.  15
    Disruption of regulatory domains and novel transcripts as disease‐causing mechanisms.Lila Allou & Stefan Mundlos - 2023 - Bioessays 45 (10):2300010.
    Deletions, duplications, insertions, inversions, and translocations, collectively called structural variations (SVs), affect more base pairs of the genome than any other sequence variant. The recent technological advancements in genome sequencing have enabled the discovery of tens of thousands of SVs per human genome. These SVs primarily affect non‐coding DNA sequences, but the difficulties in interpreting their impact limit our understanding of human disease etiology. The functional annotation of non‐coding DNA sequences and methodologies to characterize their three‐dimensional (3D) organization in (...)
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  17.  39
    (1 other version)The Biological Mind: A Philosophical Introduction.Justin Garson - 2014 - London: Routledge.
    For some, biology explains all there is to know about the mind. Yet many big questions remain: is the mind shaped by genes or the environment? If mental traits are the result of adaptations built up over thousands of years, as evolutionary psychologists claim, how can such claims be tested? If the mind is a machine, as biologists argue, how does it allow for something as complex as human consciousness? The Biological Mind: A Philosophical Introduction explores these questions and more, (...)
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  18. The OBO Foundry: Coordinated evolution of ontologies to support biomedical data integration.Barry Smith, Michael Ashburner, Cornelius Rosse, Jonathan Bard, William Bug, Werner Ceusters, Louis J. Goldberg, Karen Eilbeck, Amelia Ireland, Christopher J. Mungall, Neocles Leontis, Philippe Rocca-Serra, Alan Ruttenberg, Susanna-Assunta Sansone, Richard H. Scheuermann, Nigam Shah, Patricia L. Whetzel & Suzanna Lewis - 2007 - Nature Biotechnology 25 (11):1251-1255.
    The value of any kind of data is greatly enhanced when it exists in a form that allows it to be integrated with other data. One approach to integration is through the annotation of multiple bodies of data using common controlled vocabularies or ‘ontologies’. Unfortunately, the very success of this approach has led to a proliferation of ontologies which itself creates obstacles to integration. The Open Biomedical Ontologies (OBO) consortium has set in train a strategy to overcome this problem. (...)
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  19.  9
    SNP‐based heritability and selection analyses: Improved models and new results.Doug Speed, Anubhav Kaphle & David J. Balding - 2022 - Bioessays 44 (5):2100170.
    Complex‐trait genetics has advanced dramatically through methods to estimate the heritability tagged by SNPs, both genome‐wide and in genomic regions of interest such as those defined by functional annotations. The models underlying many of these analyses are inadequate, and consequently many SNP‐heritability results published to date are inaccurate. Here, we review the modelling issues, both for analyses based on individual genotype data and association test statistics, highlighting the role of a low‐dimensional model for the heritability of each SNP. We use (...)
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  20. The God Dialogues: A Philosophical Journey.Torin Alter & Robert J. Howell - 2010 - Oxford University Press USA.
    The God Dialogues is an intriguing and extensive philosophical debate about the existence of God. Engaging and accessible, it covers all the main arguments for and against God's existence, from traditional philosophical "proofs" to arguments that involve the latest developments in biology and physics. Three main characters represent the principal views: Theodore Logan, the theist; Eva Lucien, the atheist; and Gene Sesquois, the agnostic. Their debate takes place during a post-college cross-country road trip during which Gene expresses dismay (...)
     
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  21. (1 other version)Wanting what we don't want to want: Representing Addiction in Interoperable Bio-Ontologies.Janna Hastings, Nicolas Le Novère, Werner Ceusters, Kevin Mulligan & Barry Smith - 2012 - In Janna Hastings, Werner Ceusters, Mark Jensen, Kevin Mulligan & Barry Smith, Towards an Ontology of Mental Functioning (ICBO Workshop). CEUR. pp. 56-60.
    Ontologies are being developed throughout the biomedical sciences to address standardization, integration, classification and reasoning needs against the background of an increasingly data-driven research paradigm. In particular, ontologies facilitate the translation of basic research into benefits for the patient by making research results more discoverable and by facilitating knowledge transfer across disciplinary boundaries. Addressing and adequately treating mental illness is one of our most pressing public health challenges. Primary research across multiple disciplines such as psychology, psychiatry, biology, neuroscience and pharmacology (...)
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  22.  57
    Do miRNAs have a deep evolutionary history?James E. Tarver, Philip Cj Donoghue & Kevin J. Peterson - 2012 - Bioessays 34 (10):857-866.
    The recent discovery of microRNAs (miRNAs) in unicellular eukaryotes, including miRNAs known previously only from animals or plants, implies that miRNAs have a deep evolutionary history among eukaryotes. This contrasts with the prevailing view that miRNAs evolved convergently in animals and plants. We re‐evaluate the evidence and find that none of the 73 plant and animal miRNAs described from protists meet the required criteria for miRNA annotation and, by implication, animals and plants did not acquire any of their respective (...)
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  23. Framework for a protein ontology.Darren A. Natale, Cecilia N. Arighi, Winona Barker, Judith Blake, Ti-Cheng Chang, Zhangzhi Hu, Hongfang Liu, Barry Smith & Cathy H. Wu - 2007 - BMC Bioinformatics 8 (Suppl 9):S1.
    Biomedical ontologies are emerging as critical tools in genomic and proteomic research where complex data in disparate resources need to be integrated. A number of ontologies exist that describe the properties that can be attributed to proteins; for example, protein functions are described by Gene Ontology, while human diseases are described by Disease Ontology. There is, however, a gap in the current set of ontologies—one that describes the protein entities themselves and their relationships. We have designed a PRotein Ontology (...)
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  24. The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.Laurel Cooper, Austin Meier, Marie-Angélique Laporte, Justin L. Elser, Chris Mungall, Brandon T. Sinn, Dario Cavaliere, Seth Carbon, Nathan A. Dunn, Barry Smith, Botong Qu, Justin Preece, Eugene Zhang, Sinisa Todorovic, Georgios Gkoutos, John H. Doonan, Dennis W. Stevenson, Elizabeth Arnaud & Pankaj Jaiswal - 2018 - Nucleic Acids Research 46 (D1):D1168–D1180.
    The Planteome project provides a suite of reference and species-specific ontologies for plants and annotations to genes and phenotypes. Ontologies serve as common standards for semantic integration of a large and growing corpus of plant genomics, phenomics and genetics data. The reference ontologies include the Plant Ontology, Plant Trait Ontology, and the Plant Experimental Conditions Ontology developed by the Planteome project, along with the Gene Ontology, Chemical Entities of Biological Interest, Phenotype and Attribute Ontology, and others. The project also (...)
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  25.  12
    How Small Proteins Adjust the Metabolism of Cyanobacteria Under Stress.Alexander Kraus & Wolfgang R. Hess - forthcoming - Bioessays:e202400245.
    Several recently discovered small proteins of less than 100 amino acids control important, but sometimes surprising, steps in the metabolism of cyanobacteria. There is mounting evidence that a large number of small protein genes have also been overlooked in the genome annotation of many other microorganisms. Although too short for enzymatic activity, their functional characterization has frequently revealed the involvement in processes such as signaling and sensing, interspecies communication, stress responses, metabolism, regulation of transcription and translation, and in the (...)
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  26. Towards a proteomics meta-classification.Anand Kumar & Barry Smith - 2004 - In Kumar Anand & Smith Barry, IEEE Fourth Symposium on Bioinformatics and Bioengineering, Taichung, Taiwan. IEEE Press. pp. 419–427.
    that can serve as a foundation for more refined ontologies in the field of proteomics. Standard data sources classify proteins in terms of just one or two specific aspects. Thus SCOP (Structural Classification of Proteins) is described as classifying proteins on the basis of structural features; SWISSPROT annotates proteins on the basis of their structure and of parameters like post-translational modifications. Such data sources are connected to each other by pairwise term-to-term mappings. However, there are obstacles which stand in the (...)
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  27. Ontologies for the study of neurological disease.Alexander P. Cox, Mark Jensen, William Duncan, Bianca Weinstock-Guttman, Kinga Szigeti, Alan Ruttenberg, Barry Smith & Alexander D. Diehl - 2012 - In Alexander P. Cox, Mark Jensen, William Duncan, Bianca Weinstock-Guttman, Kinga Szigeti, Alan Ruttenberg, Barry Smith & Alexander D. Diehl, Towards an Ontology of Mental Functioning (ICBO Workshop), Third International Conference on Biomedical Ontology. Graz:
    We have begun work on two separate but related ontologies for the study of neurological diseases. The first, the Neurological Disease Ontology (ND), is intended to provide a set of controlled, logically connected classes to describe the range of neurological diseases and their associated signs and symptoms, assessments, diagnoses, and interventions that are encountered in the course of clinical practice. ND is built as an extension of the Ontology for General Medical Sciences — a high-level candidate OBO Foundry ontology that (...)
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  28. The Plant Ontology facilitates comparisons of plant development stages across species.Ramona Lynn Walls, Laurel Cooper, Justin Lee Elser, Maria Alejandra Gandolfo, Christopher J. Mungall, Barry Smith, Dennis William Stevenson & Pankaj Jaiswal - 2019 - Frontiers in Plant Science 10.
    The Plant Ontology (PO) is a community resource consisting of standardized terms, definitions, and logical relations describing plant structures and development stages, augmented by a large database of annotations from genomic and phenomic studies. This paper describes the structure of the ontology and the design principles we used in constructing PO terms for plant development stages. It also provides details of the methodology and rationale behind our revision and expansion of the PO to cover development stages for all plants, particularly (...)
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  29. The Plant Ontology as a Tool for Comparative Plant Anatomy and Genomic Analyses.Laurel Cooper, Ramona Walls, Justin Elser, Maria A. Gandolfo, Dennis W. Stevenson, Barry Smith & Others - 2013 - Plant and Cell Physiology 54 (2):1-23..
    The Plant Ontology (PO; http://www.plantontology.org/) is a publicly-available, collaborative effort to develop and maintain a controlled, structured vocabulary (“ontology”) of terms to describe plant anatomy, morphology and the stages of plant development. The goals of the PO are to link (annotate) gene expression and phenotype data to plant structures and stages of plant development, using the data model adopted by the Gene Ontology. From its original design covering only rice, maize and Arabidopsis, the scope of the PO has (...)
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  30. VO: Vaccine Ontology.Yongqun He, Lindsay Cowell, Alexander D. Diehl, H. L. Mobley, Bjoern Peters, Alan Ruttenberg, Richard H. Scheuermann, Ryan R. Brinkman, Melanie Courtot, Chris Mungall, Barry Smith & Others - 2009 - In Barry Smith, ICBO 2009: Proceedings of the First International Conference on Biomedical Ontology. Buffalo: NCOR.
    Vaccine research, as well as the development, testing, clinical trials, and commercial uses of vaccines involve complex processes with various biological data that include gene and protein expression, analysis of molecular and cellular interactions, study of tissue and whole body responses, and extensive epidemiological modeling. Although many data resources are available to meet different aspects of vaccine needs, it remains a challenge how we are to standardize vaccine annotation, integrate data about varied vaccine types and resources, and support (...)
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  31. The Plant Ontology: A common reference ontology for plants.L. Walls Ramona, D. Cooper Laurel, Elser Justin, W. Stevenson Dennis, Barry Smith, Mungall Chris, A. Gandolfo Maria & Jaiswal Pankaj - 2010 - In Walls Ramona L., Cooper Laurel D., Justin Elser, Stevenson Dennis W., Smith Barry, Chris Mungall, Gandolfo Maria A. & Pankaj Jaiswal, Proceedings of the Workshop on Bio-Ontologies, ISMB, Boston, July, 2010.
    The Plant Ontology (PO) (http://www.plantontology.org) (Jaiswal et al., 2005; Avraham et al., 2008) was designed to facilitate cross-database querying and to foster consistent use of plant-specific terminology in annotation. As new data are generated from the ever-expanding list of plant genome projects, the need for a consistent, cross-taxon vocabulary has grown. To meet this need, the PO is being expanded to represent all plants. This is the first ontology designed to encompass anatomical structures as well as growth and developmental (...)
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  32.  83
    Book review.(Review of the book De reformatorische rechtsstaatsgedachte, 1999, 9051894384). [REVIEW]A. K. Koekkoek - 2002 - Philosophia Reformata: Orgaan van de Vereeniging Voor Calvinistische Wijsbegeerte 6 (2):204-206.
    Books Reviewed in this Article: Reason, Truth and History. By Hilary Putnam. Pp.xii, 222, Cambridge University Press, 1982, £15.00 , £4.95 . Fundamentals of philosophy. By David Stewart and H. Gene Blocker. Pp.xiii, 378, New York, Macmillan, 1982, £12.95. Modern Philosophy: An Introduction. By A.R. Lacey. Pp.vii, 246, London and Boston, Routledge & Kegan Paul, 1982, £7.95 , £3.95 . Merleau‐Ponty's Philosophy. By Samuel B. Mallin. Pp.xi, 302, New Haven and London, Yale University Press, 1979, £14.20. Thought and Object: (...)
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  33.  53
    Genetic Testing and Genetic Screening.Pat Milmoe McCarrick - 1993 - Kennedy Institute of Ethics Journal 3 (3):333-354.
    In lieu of an abstract, here is a brief excerpt of the content:Genetic Testing and Genetic ScreeningPat Milmoe McCarrick (bio)In recent years there has been an enormous expansion in the knowledge that may be gleaned from the testing of an individual's genetic material to predict present or future disability or disease either for oneself or one's offspring. The Human Genome Project, which is currently mapping the entire human gene system, is identifying progressively more genetic sequencing information (see Scope Note (...)
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  34.  53
    Structural variations, the regulatory landscape of the genome and their alteration in human disease.Malte Spielmann & Stefan Mundlos - 2013 - Bioessays 35 (6):533-543.
    High‐throughput genomic technologies are revolutionizing human genetics. So far the focus has been on the 1.5% of the genome, which is coding, in spite of the fact that the great majority of genomic variants fall outside the coding regions. Recent efforts to annotate the non‐coding sequence show that over 80% of the genome is biochemically active. The genome is divided into regulatory domains consisting of sequence regions that enhance and/or silence the expression of nearby genes and are, in some cases, (...)
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  35. The representation of protein complexes in the Protein Ontology.Carol Bult, Harold Drabkin, Alexei Evsikov, Darren Natale, Cecilia Arighi, Natalia Roberts, Alan Ruttenberg, Peter D’Eustachio, Barry Smith, Judith Blake & Cathy Wu - 2011 - BMC Bioinformatics 12 (371):1-11.
    Representing species-specific proteins and protein complexes in ontologies that are both human and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research community with well-curated compendia of protein sequence and structure, these resources lack formal ontological representations of the relationships among the proteins themselves. The Protein Ontology (PRO) Consortium is filling this informatics resource gap by developing ontological representations and relationships among proteins and their variants and modified forms. Because (...)
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  36.  25
    Understanding Animal Evolution: The Added Value of Sponge Transcriptomics and Genomics.Emmanuelle Renard, Sally P. Leys, Gert Wörheide & Carole Borchiellini - 2018 - Bioessays 40 (9):1700237.
    Sponges are important but often‐neglected organisms. The absence of classical animal traits (nerves, digestive tract, and muscles) makes sponges challenging for non‐specialists to work with and has delayed getting high quality genomic data compared to other invertebrates. Yet analyses of sponge genomes and transcriptomes currently available have radically changed our understanding of animal evolution. Sponges are of prime evolutionary importance as one of the best candidates to form the sister group of all other animals, and genomic data are essential to (...)
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  37.  40
    Functional interpretation of non‐coding sequence variation: Concepts and challenges.Dirk S. Paul, Nicole Soranzo & Stephan Beck - 2014 - Bioessays 36 (2):191-199.
    Understanding the functional mechanisms underlying genetic signals associated with complex traits and common diseases, such as cancer, diabetes and Alzheimer's disease, is a formidable challenge. Many genetic signals discovered through genome‐wide association studies map to non‐protein coding sequences, where their molecular consequences are difficult to evaluate. This article summarizes concepts for the systematic interpretation of non‐coding genetic signals using genome annotation data sets in different cellular systems. We outline strategies for the global analysis of multiple association intervals and the (...)
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  38.  23
    Panton-Valentine leukocidin genes in Staphylococcus aureus.Leukocidin Genes - 2003 - Emergence: Complexity and Organization 9:978-84.
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  39.  14
    Insect societies and the molecular biology of social behavior.Gene E. Robinson, Susan E. Fahrbach & Mark L. Winston - 1997 - Bioessays 19 (12):1099-1108.
    This article outlines the rationale for a molecular genetic study of social behavior, and explains why social insects are good models. Summaries of research on brain and behavior in two species, honey bees and fire ants, are presented to illustrate the richness of the behavioral phenomena that can be addressed with social insects and to show how they are beginning to be used to study genes that influence social behavior. We conclude by considering the problems and potential of this emerging (...)
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  40. Professional adjustments..Gene Harrison - 1941 - St. Louis,: The C. V. Mosby company.
     
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  41.  37
    Prophetic Authenticity: A Form-Critical Study of Amos 7:10–17.Gene M. Tucker - 1973 - Interpretation 27 (4):423-434.
    By rasing the form-critical questions our attention will be drawn directly to the text itself, and what it communicates concerning the prophetic role, the broad question of authority and validity in religious language, and the specific issue of the authentication of prophetic words... these are issues which refuse to be confined to the eighth century B.C. in Israel.
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  42.  38
    (1 other version)Claims to wealth from biotechnology.Gene Wunderlich - 1988 - Journal of Agricultural and Environmental Ethics 1 (3):167-174.
  43.  28
    Faith, hope and love: Some practical implications of process theology.Gene Reeves - 1985 - American Journal of Theology and Philosophy 6 (2/3):128 - 139.
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  44.  6
    The chief executive role as God's classroom for character formation.Gene Early - 2001 - Transformation: An International Journal of Holistic Mission Studies 18 (1):9-15.
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  45.  14
    The Inner Work of the Chief Executive: Humility and Wisdom in the Service of Leadership.Gene Early - 2006 - Transformation: An International Journal of Holistic Mission Studies 23 (4):243-252.
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  46.  57
    Karma and Evil.Gene G. James - 2008 - Southwest Philosophy Review 24 (1):117-123.
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  47. Tolstoy and the Critics Literature and Aesthetics [by] Holley Gene Duffield [and] Manuel Bilsky. --.Holley Gene Duffield & Manuel Bilsky - 1965 - Scott, Foresman.
     
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  48. Say No to GMOs! (Genetically Modified Organisms).Gene Thomas & Chris Picone - unknown
    Time was when you could bite a tomato and not ingest fish genes. Time was when you could eat french fries and just worry about the fat and salt, not the bacterial genes that produce insecticides in the potato. Those times are over, thanks to corporate control over both genetic engineering and the lack of food-labeling. Unless you are a “hard core” consumer of organic foods, you eat genetically engineered foods everyday. While 80-90% of US consumers believe genetically engineered foods (...)
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  49.  45
    The Church and Major Economic Expansions.Gene Ahner - 2010 - The Lonergan Review 2 (1):362-365.
  50.  86
    God Is Love, Therefore There Is Evil.Gene Fendt - 1995 - Philosophy and Theology 9 (1-2):3-12.
    This paper attempts to explicate the philosophical and theological premisses involved in Fr. Paneloux’s second sermon in Camus’ The Plague. In that sermon Fr. Paneloux says that the suffering of children is our bread of affliction. The article shows where one must start in order to get to that point, and what follows from it. Whether or not the argument given should be called a theodicy or a reductio ad absurdum of religious belief is an open question for a philosopher, (...)
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