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  • 1
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    Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics (2012)
    Oxford University Press
    Details
    Publication Date: 2012-03-31
    Description: : Biogem provides a software development environment for the Ruby programming language, which encourages community-based software development for bioinformatics while lowering the barrier to entry and encouraging best practices. Biogem, with its targeted modular and decentralized approach, software generator, tools and tight web integration, is an improved general model for scaling up collaborative open source software development in bioinformatics. Availability: Biogem and modules are free and are OSS. Biogem runs on all systems that support recent versions of Ruby, including Linux, Mac OS X and Windows. Further information at http://www.biogems.info . A tutorial is available at http://www.biogems.info/howto.html Contact: bonnal@ingm.org
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 2
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    Early origins and evolution of microRNAs and Piwi-interacting RNAs in animals (2008)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2008-10-03
    Description: In bilaterian animals, such as humans, flies and worms, hundreds of microRNAs (miRNAs), some conserved throughout bilaterian evolution, collectively regulate a substantial fraction of the transcriptome. In addition to miRNAs, other bilaterian small RNAs, known as Piwi-interacting RNAs (piRNAs), protect the genome from transposons. Here we identify small RNAs from animal phyla that diverged before the emergence of the Bilateria. The cnidarian Nematostella vectensis (starlet sea anemone), a close relative to the Bilateria, possesses an extensive repertoire of miRNA genes, two classes of piRNAs and a complement of proteins specific to small-RNA biology comparable to that of humans. The poriferan Amphimedon queenslandica (sponge), one of the simplest animals and a distant relative of the Bilateria, also possesses miRNAs, both classes of piRNAs and a full complement of the small-RNA machinery. Animal miRNA evolution seems to have been relatively dynamic, with precursor sizes and mature miRNA sequences differing greatly between poriferans, cnidarians and bilaterians. Nonetheless, miRNAs and piRNAs have been available as classes of riboregulators to shape gene expression throughout the evolution and radiation of animal phyla.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3837422/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3837422/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Grimson, Andrew -- Srivastava, Mansi -- Fahey, Bryony -- Woodcroft, Ben J -- Chiang, H Rosaria -- King, Nicole -- Degnan, Bernard M -- Rokhsar, Daniel S -- Bartel, David P -- R01 GM067031/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2008 Oct 30;455(7217):1193-7. doi: 10.1038/nature07415. Epub 2008 Oct 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18830242" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Eukaryotic Cells/metabolism ; *Evolution, Molecular ; Gene Expression Regulation ; Humans ; MicroRNAs/*genetics ; Phylogeny ; RNA, Small Interfering/*genetics ; Sea Anemones/*genetics ; Sequence Analysis
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 3
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    The Amphimedon queenslandica genome and the evolution of animal complexity (2010)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2010-08-06
    Description: Sponges are an ancient group of animals that diverged from other metazoans over 600 million years ago. Here we present the draft genome sequence of Amphimedon queenslandica, a demosponge from the Great Barrier Reef, and show that it is remarkably similar to other animal genomes in content, structure and organization. Comparative analysis enabled by the sequencing of the sponge genome reveals genomic events linked to the origin and early evolution of animals, including the appearance, expansion and diversification of pan-metazoan transcription factor, signalling pathway and structural genes. This diverse 'toolkit' of genes correlates with critical aspects of all metazoan body plans, and comprises cell cycle control and growth, development, somatic- and germ-cell specification, cell adhesion, innate immunity and allorecognition. Notably, many of the genes associated with the emergence of animals are also implicated in cancer, which arises from defects in basic processes associated with metazoan multicellularity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130542/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130542/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Srivastava, Mansi -- Simakov, Oleg -- Chapman, Jarrod -- Fahey, Bryony -- Gauthier, Marie E A -- Mitros, Therese -- Richards, Gemma S -- Conaco, Cecilia -- Dacre, Michael -- Hellsten, Uffe -- Larroux, Claire -- Putnam, Nicholas H -- Stanke, Mario -- Adamska, Maja -- Darling, Aaron -- Degnan, Sandie M -- Oakley, Todd H -- Plachetzki, David C -- Zhai, Yufeng -- Adamski, Marcin -- Calcino, Andrew -- Cummins, Scott F -- Goodstein, David M -- Harris, Christina -- Jackson, Daniel J -- Leys, Sally P -- Shu, Shengqiang -- Woodcroft, Ben J -- Vervoort, Michel -- Kosik, Kenneth S -- Manning, Gerard -- Degnan, Bernard M -- Rokhsar, Daniel S -- R01 HG004164/HG/NHGRI NIH HHS/ -- R01 HG004164-03/HG/NHGRI NIH HHS/ -- R01 HG004164-04/HG/NHGRI NIH HHS/ -- England -- Nature. 2010 Aug 5;466(7307):720-6. doi: 10.1038/nature09201.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Integrative Genomics and Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA. mansi@wi.mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20686567" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Apoptosis/genetics ; Cell Adhesion/genetics ; Cell Cycle/genetics ; Cell Polarity/genetics ; Cell Proliferation ; *Evolution, Molecular ; Genes/genetics ; Genome/*genetics ; Genomics ; Humans ; Immunity, Innate/genetics ; Models, Biological ; Neurons/metabolism ; Phosphotransferases/chemistry/genetics ; Phylogeny ; Porifera/anatomy & histology/cytology/*genetics/immunology ; Sequence Analysis, DNA ; Signal Transduction/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 4
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    Methane dynamics regulated by microbial community response to permafrost thaw (2014)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2014-10-25
    Description: Permafrost contains about 50% of the global soil carbon. It is thought that the thawing of permafrost can lead to a loss of soil carbon in the form of methane and carbon dioxide emissions. The magnitude of the resulting positive climate feedback of such greenhouse gas emissions is still unknown and may to a large extent depend on the poorly understood role of microbial community composition in regulating the metabolic processes that drive such ecosystem-scale greenhouse gas fluxes. Here we show that changes in vegetation and increasing methane emissions with permafrost thaw are associated with a switch from hydrogenotrophic to partly acetoclastic methanogenesis, resulting in a large shift in the delta(13)C signature (10-15 per thousand) of emitted methane. We used a natural landscape gradient of permafrost thaw in northern Sweden as a model to investigate the role of microbial communities in regulating methane cycling, and to test whether a knowledge of community dynamics could improve predictions of carbon emissions under loss of permafrost. Abundance of the methanogen Candidatus 'Methanoflorens stordalenmirensis' is a key predictor of the shifts in methane isotopes, which in turn predicts the proportions of carbon emitted as methane and as carbon dioxide, an important factor for simulating the climate feedback associated with permafrost thaw in global models. By showing that the abundance of key microbial lineages can be used to predict atmospherically relevant patterns in methane isotopes and the proportion of carbon metabolized to methane during permafrost thaw, we establish a basis for scaling changing microbial communities to ecosystem isotope dynamics. Our findings indicate that microbial ecology may be important in ecosystem-scale responses to global change.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉McCalley, Carmody K -- Woodcroft, Ben J -- Hodgkins, Suzanne B -- Wehr, Richard A -- Kim, Eun-Hae -- Mondav, Rhiannon -- Crill, Patrick M -- Chanton, Jeffrey P -- Rich, Virginia I -- Tyson, Gene W -- Saleska, Scott R -- England -- Nature. 2014 Oct 23;514(7523):478-81. doi: 10.1038/nature13798.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA. ; Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane 4072, Queensland, Australia. ; Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, Florida 32306, USA. ; Department of Soil, Water and Environmental Science, University of Arizona, Tucson, Arizona 85721, USA. ; Department of Geological Sciences, Stockholm University, Stockholm 106 91, Sweden.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25341787" target="_blank"〉PubMed〈/a〉
    Keywords: Anaerobiosis ; Arctic Regions ; Atmosphere/*chemistry ; Carbon Dioxide/metabolism ; *Ecosystem ; *Freezing ; Methane/analysis/*metabolism ; *Soil Microbiology ; Sweden
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 5
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    OrfM: a fast open reading frame predictor for metagenomic data (2016)
    Oxford University Press
    Details
    Publication Date: 2016-09-02
    Description: : Finding and translating stretches of DNA lacking stop codons is a task common in the analysis of sequence data. However, the computational tools for finding open reading frames are sufficiently slow that they are becoming a bottleneck as the volume of sequence data grows. This computational bottleneck is especially problematic in metagenomics when searching unassembled reads, or screening assembled contigs for genes of interest. Here, we present OrfM, a tool to rapidly identify open reading frames (ORFs) in sequence data by applying the Aho–Corasick algorithm to find regions uninterrupted by stop codons. Benchmarking revealed that OrfM finds identical ORFs to similar tools (‘GetOrf’ and ‘Translate’) but is four-five times faster. While OrfM is sequencing platform-agnostic, it is best suited to large, high quality datasets such as those produced by Illumina sequencers. Availability and Implementation: Source code and binaries are freely available for download at http://github.com/wwood/OrfM or through GNU Guix under the LGPL 3+ license. OrfM is implemented in C and supported on GNU/Linux and OSX. Contacts: b.woodcroft@uq.edu.au Supplementary information : Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 6
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    NUMTs in the Sponge Genome Reveal Conserved Transposition Mechanisms in Metazoans (2010)
    Oxford University Press
    Details
    Publication Date: 2010-08-18
    Print ISSN: 0737-4038
    Electronic ISSN: 1537-1719
    Topics: Biology
    Published by Oxford University Press
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  • 7
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    Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics (2012)
    Oxford University Press
    Details
    Publication Date: 2012-02-12
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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