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  • 1
    Publication Date: 2007-07-21
    Description: The genomes of individuals from the same species vary in sequence as a result of different evolutionary processes. To examine the patterns of, and the forces shaping, sequence variation in Arabidopsis thaliana, we performed high-density array resequencing of 20 diverse strains (accessions). More than 1 million nonredundant single-nucleotide polymorphisms (SNPs) were identified at moderate false discovery rates (FDRs), and approximately 4% of the genome was identified as being highly dissimilar or deleted relative to the reference genome sequence. Patterns of polymorphism are highly nonrandom among gene families, with genes mediating interaction with the biotic environment having exceptional polymorphism levels. At the chromosomal scale, regional variation in polymorphism was readily apparent. A scan for recent selective sweeps revealed several candidate regions, including a notable example in which almost all variation was removed in a 500-kilobase window. Analyzing the polymorphisms we describe in larger sets of accessions will enable a detailed understanding of forces shaping population-wide sequence variation in A. thaliana.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Clark, Richard M -- Schweikert, Gabriele -- Toomajian, Christopher -- Ossowski, Stephan -- Zeller, Georg -- Shinn, Paul -- Warthmann, Norman -- Hu, Tina T -- Fu, Glenn -- Hinds, David A -- Chen, Huaming -- Frazer, Kelly A -- Huson, Daniel H -- Scholkopf, Bernhard -- Nordborg, Magnus -- Ratsch, Gunnar -- Ecker, Joseph R -- Weigel, Detlef -- New York, N.Y. -- Science. 2007 Jul 20;317(5836):338-42.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tubingen, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17641193" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Arabidopsis/*genetics ; Base Sequence ; Chromosomes, Plant/genetics ; Computational Biology ; Gene Frequency ; Genes, Plant ; *Genetic Variation ; *Genome, Plant ; Molecular Sequence Data ; *Polymorphism, Genetic ; *Polymorphism, Single Nucleotide ; Selection, Genetic ; Sequence Analysis, DNA
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-12-24
    Description: We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor-binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of transcription factor-binding and microRNA interactions and discovered chromosomal locations bound by an unusually large number of transcription factors. Different patterns of chromatin composition and histone modification were revealed between chromosome arms and centers, with similarly prominent differences between autosomes and the X chromosome. Integrating data types, we built statistical models relating chromatin, transcription factor binding, and gene expression. Overall, our analyses ascribed putative functions to most of the conserved genome.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142569/" 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/PMC3142569/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Lu, Zhi John -- Van Nostrand, Eric L -- Cheng, Chao -- Arshinoff, Bradley I -- Liu, Tao -- Yip, Kevin Y -- Robilotto, Rebecca -- Rechtsteiner, Andreas -- Ikegami, Kohta -- Alves, Pedro -- Chateigner, Aurelien -- Perry, Marc -- Morris, Mitzi -- Auerbach, Raymond K -- Feng, Xin -- Leng, Jing -- Vielle, Anne -- Niu, Wei -- Rhrissorrakrai, Kahn -- Agarwal, Ashish -- Alexander, Roger P -- Barber, Galt -- Brdlik, Cathleen M -- Brennan, Jennifer -- Brouillet, Jeremy Jean -- Carr, Adrian -- Cheung, Ming-Sin -- Clawson, Hiram -- Contrino, Sergio -- Dannenberg, Luke O -- Dernburg, Abby F -- Desai, Arshad -- Dick, Lindsay -- Dose, Andrea C -- Du, Jiang -- Egelhofer, Thea -- Ercan, Sevinc -- Euskirchen, Ghia -- Ewing, Brent -- Feingold, Elise A -- Gassmann, Reto -- Good, Peter J -- Green, Phil -- Gullier, Francois -- Gutwein, Michelle -- Guyer, Mark S -- Habegger, Lukas -- Han, Ting -- Henikoff, Jorja G -- Henz, Stefan R -- Hinrichs, Angie -- Holster, Heather -- Hyman, Tony -- Iniguez, A Leo -- Janette, Judith -- Jensen, Morten -- Kato, Masaomi -- Kent, W James -- Kephart, Ellen -- Khivansara, Vishal -- Khurana, Ekta -- Kim, John K -- Kolasinska-Zwierz, Paulina -- Lai, Eric C -- Latorre, Isabel -- Leahey, Amber -- Lewis, Suzanna -- Lloyd, Paul -- Lochovsky, Lucas -- Lowdon, Rebecca F -- Lubling, Yaniv -- Lyne, Rachel -- MacCoss, Michael -- Mackowiak, Sebastian D -- Mangone, Marco -- McKay, Sheldon -- Mecenas, Desirea -- Merrihew, Gennifer -- Miller, David M 3rd -- Muroyama, Andrew -- Murray, John I -- Ooi, Siew-Loon -- Pham, Hoang -- Phippen, Taryn -- Preston, Elicia A -- Rajewsky, Nikolaus -- Ratsch, Gunnar -- Rosenbaum, Heidi -- Rozowsky, Joel -- Rutherford, Kim -- Ruzanov, Peter -- Sarov, Mihail -- Sasidharan, Rajkumar -- Sboner, Andrea -- Scheid, Paul -- Segal, Eran -- Shin, Hyunjin -- Shou, Chong -- Slack, Frank J -- Slightam, Cindie -- Smith, Richard -- Spencer, William C -- Stinson, E O -- Taing, Scott -- Takasaki, Teruaki -- Vafeados, Dionne -- Voronina, Ksenia -- Wang, Guilin -- Washington, Nicole L -- Whittle, Christina M -- Wu, Beijing -- Yan, Koon-Kiu -- Zeller, Georg -- Zha, Zheng -- Zhong, Mei -- Zhou, Xingliang -- modENCODE Consortium -- Ahringer, Julie -- Strome, Susan -- Gunsalus, Kristin C -- Micklem, Gos -- Liu, X Shirley -- Reinke, Valerie -- Kim, Stuart K -- Hillier, LaDeana W -- Henikoff, Steven -- Piano, Fabio -- Snyder, Michael -- Stein, Lincoln -- Lieb, Jason D -- Waterston, Robert H -- 054523/Wellcome Trust/United Kingdom -- R01 GM088565/GM/NIGMS NIH HHS/ -- R01 GM088565-03/GM/NIGMS NIH HHS/ -- R01GM088565/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2010 Dec 24;330(6012):1775-87. doi: 10.1126/science.1196914. Epub 2010 Dec 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA. modencode.worm.pi@gersteinlab.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21177976" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/*genetics/growth & development/metabolism ; Caenorhabditis elegans Proteins/genetics/metabolism ; Chromatin/genetics/metabolism/ultrastructure ; *Chromosomes/genetics/metabolism/ultrastructure ; Computational Biology/methods ; Conserved Sequence ; Evolution, Molecular ; *Gene Expression Profiling ; *Gene Expression Regulation ; Gene Regulatory Networks ; Genes, Helminth ; *Genome, Helminth ; Genomics/methods ; Histones/metabolism ; Models, Genetic ; *Molecular Sequence Annotation ; RNA, Helminth/genetics/metabolism ; RNA, Untranslated/genetics/metabolism ; Regulatory Sequences, Nucleic Acid ; Transcription Factors/genetics/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2015-05-23
    Description: Microbes are dominant drivers of biogeochemical processes, yet drawing a global picture of functional diversity, microbial community structure, and their ecological determinants remains a grand challenge. We analyzed 7.2 terabases of metagenomic data from 243 Tara Oceans samples from 68 locations in epipelagic and mesopelagic waters across the globe to generate an ocean microbial reference gene catalog with 〉40 million nonredundant, mostly novel sequences from viruses, prokaryotes, and picoeukaryotes. Using 139 prokaryote-enriched samples, containing 〉35,000 species, we show vertical stratification with epipelagic community composition mostly driven by temperature rather than other environmental factors or geography. We identify ocean microbial core functionality and reveal that 〉73% of its abundance is shared with the human gut microbiome despite the physicochemical differences between these two ecosystems.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sunagawa, Shinichi -- Coelho, Luis Pedro -- Chaffron, Samuel -- Kultima, Jens Roat -- Labadie, Karine -- Salazar, Guillem -- Djahanschiri, Bardya -- Zeller, Georg -- Mende, Daniel R -- Alberti, Adriana -- Cornejo-Castillo, Francisco M -- Costea, Paul I -- Cruaud, Corinne -- d'Ovidio, Francesco -- Engelen, Stefan -- Ferrera, Isabel -- Gasol, Josep M -- Guidi, Lionel -- Hildebrand, Falk -- Kokoszka, Florian -- Lepoivre, Cyrille -- Lima-Mendez, Gipsi -- Poulain, Julie -- Poulos, Bonnie T -- Royo-Llonch, Marta -- Sarmento, Hugo -- Vieira-Silva, Sara -- Dimier, Celine -- Picheral, Marc -- Searson, Sarah -- Kandels-Lewis, Stefanie -- Tara Oceans coordinators -- Bowler, Chris -- de Vargas, Colomban -- Gorsky, Gabriel -- Grimsley, Nigel -- Hingamp, Pascal -- Iudicone, Daniele -- Jaillon, Olivier -- Not, Fabrice -- Ogata, Hiroyuki -- Pesant, Stephane -- Speich, Sabrina -- Stemmann, Lars -- Sullivan, Matthew B -- Weissenbach, Jean -- Wincker, Patrick -- Karsenti, Eric -- Raes, Jeroen -- Acinas, Silvia G -- Bork, Peer -- New York, N.Y. -- Science. 2015 May 22;348(6237):1261359. doi: 10.1126/science.1261359.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. ; Department of Microbiology and Immunology, Rega Institute, KU Leuven, Herestraat 49, 3000 Leuven, Belgium. Center for the Biology of Disease, VIB, Herestraat 49, 3000 Leuven, Belgium. Department of Applied Biological Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. ; CEA-Institut de Genomique, GENOSCOPE, 2 rue Gaston Cremieux, 91057 Evry, France. ; Department of Marine Biology and Oceanography, Institute of Marine Sciences (ICM)-CSIC, Pg. Maritim de la Barceloneta, 37-49, Barcelona E08003, Spain. ; Sorbonne Universites, UPMC, Universite Paris 06, CNRS-IRD-MNHN, LOCEAN Laboratory, 4 Place Jussieu, 75005 Paris France. ; CNRS, UMR 7093, Laboratoire d'Oceanographie de Villefranche-sur-Mer, Observatoire Oceanologique, F-06230 Villefranche-sur-mer, France. Sorbonne Universites, UPMC Universite Paris 06, UMR 7093, LOV, Observatoire Oceanologique, F-06230 Villefranche-sur-mer, France. ; Ecole Normale Superieure, Institut de Biologie de l'ENS (IBENS), and Inserm U1024, and CNRS UMR 8197, F-75005 Paris, France. Laboratoire de Physique des Oceans UBO-IUEM, Place Copernic 29820 Plouzane, France. ; Aix Marseille Universite CNRS IGS UMR 7256, 13288 Marseille, France. ; Department of Ecology and Evolutionary Biology, University of Arizona, 1007 East Lowell Street, Tucson, AZ 85721, USA. ; Department of Marine Biology and Oceanography, Institute of Marine Sciences (ICM)-CSIC, Pg. Maritim de la Barceloneta, 37-49, Barcelona E08003, Spain. Department of Hydrobiology, Federal University of Sao Carlos (UFSCar), Rodovia Washington Luiz, 13565-905 Sao Carlos, Sao Paulo, Brazil. ; Ecole Normale Superieure, Institut de Biologie de l'ENS (IBENS), and Inserm U1024, and CNRS UMR 8197, F-75005 Paris, France. CNRS, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. Sorbonne Universites, UPMC Universite Paris 06, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. Directors' Research, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. ; Ecole Normale Superieure, Institut de Biologie de l'ENS (IBENS), and Inserm U1024, and CNRS UMR 8197, F-75005 Paris, France. ; CNRS, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. Sorbonne Universites, UPMC Universite Paris 06, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. ; CNRS UMR 7232, BIOM, Avenue du Fontaule, 66650 Banyuls-sur-Mer, France. Sorbonne Universites Paris 06, OOB UPMC, Avenue du Fontaule, 66650 Banyuls-sur-Mer, France. ; Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy. ; CEA-Institut de Genomique, GENOSCOPE, 2 rue Gaston Cremieux, 91057 Evry, France. CNRS, UMR 8030, CP5706, Evry, France. Universite d'Evry, UMR 8030, CP5706, Evry, France. ; Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, 611-001, Japan. ; PANGAEA, Data Publisher for Earth and Environmental Science, University of Bremen, Bremen, Germany. MARUM, Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany. ; Department of Geosciences, Laboratoire de Meteorologie Dynamique (LMD), Ecole Normale Superieure, 24 rue Lhomond, 75231 Paris Cedex 05, France. Laboratoire de Physique des Oceans UBO-IUEM, Place Copernic, 29820 Plouzane, France. ; Ecole Normale Superieure, Institut de Biologie de l'ENS (IBENS), and Inserm U1024, and CNRS UMR 8197, F-75005 Paris, France. Directors' Research, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de. ; Department of Microbiology and Immunology, Rega Institute, KU Leuven, Herestraat 49, 3000 Leuven, Belgium. Center for the Biology of Disease, VIB, Herestraat 49, 3000 Leuven, Belgium. Department of Applied Biological Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de. ; Department of Marine Biology and Oceanography, Institute of Marine Sciences (ICM)-CSIC, Pg. Maritim de la Barceloneta, 37-49, Barcelona E08003, Spain. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. Max-Delbruck-Centre for Molecular Medicine, 13092 Berlin, Germany. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25999513" target="_blank"〉PubMed〈/a〉
    Keywords: Databases, Genetic ; Ecosystem ; Gastrointestinal Tract/microbiology ; Genetic Variation ; Humans ; Metagenome ; Microbiota/*genetics ; Oceans and Seas ; Plankton/*classification/genetics/isolation & purification ; Seawater/*microbiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2016-04-30
    Description: Fecal microbiota transplantation (FMT) has shown efficacy in treating recurrent Clostridium difficile infection and is increasingly being applied to other gastrointestinal disorders, yet the fate of native and introduced microbial strains remains largely unknown. To quantify the extent of donor microbiota colonization, we monitored strain populations in fecal samples from a recent FMT study on metabolic syndrome patients using single-nucleotide variants in metagenomes. We found extensive coexistence of donor and recipient strains, persisting 3 months after treatment. Colonization success was greater for conspecific strains than for new species, the latter falling within fluctuation levels observed in healthy individuals over a similar time frame. Furthermore, same-donor recipients displayed varying degrees of microbiota transfer, indicating individual patterns of microbiome resistance and donor-recipient compatibilities.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Li, Simone S -- Zhu, Ana -- Benes, Vladimir -- Costea, Paul I -- Hercog, Rajna -- Hildebrand, Falk -- Huerta-Cepas, Jaime -- Nieuwdorp, Max -- Salojarvi, Jarkko -- Voigt, Anita Y -- Zeller, Georg -- Sunagawa, Shinichi -- de Vos, Willem M -- Bork, Peer -- New York, N.Y. -- Science. 2016 Apr 29;352(6285):586-9. doi: 10.1126/science.aad8852.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. School of Biotechnology and Biomolecular Sciences, University of New South Wales, 2052 Sydney, Australia. ; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. ; Genomics Core Facility, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. ; Department of Vascular Medicine, Academic Medical Center, 1105 AZ Amsterdam, Netherlands. Diabetes Center, Vrije University Medical Center, 1018 HV Amsterdam, Netherlands. Wallenberg Laboratory, University of Gothenburg, 41345 Gothenburg, Sweden. ; Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland. Department of Biosciences, University of Helsinki, 00014 Helsinki, Finland. ; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, 69120 Heidelberg, Germany. Molecular Medicine Partnership Unit, University of Heidelberg and European Molecular Biology Laboratory, 69120 Heidelberg, Germany. ; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. bork@embl.de willem.devos@wur.nl sunagawa@embl.de. ; Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland. Laboratory of Microbiology, Wageningen University, 6703 HB Wageningen, Netherlands. Immunobiology Research Program, Department of Bacteriology and Immunology, University of Helsinki, 00014 Helsinki, Finland. bork@embl.de willem.devos@wur.nl sunagawa@embl.de. ; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. Molecular Medicine Partnership Unit, University of Heidelberg and European Molecular Biology Laboratory, 69120 Heidelberg, Germany. Max Delbruck Centre for Molecular Medicine, 13125 Berlin, Germany. Department of Bioinformatics, Biocenter, University of Wurzburg, 97074 Wurzburg, Germany. bork@embl.de willem.devos@wur.nl sunagawa@embl.de.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27126044" target="_blank"〉PubMed〈/a〉
    Keywords: Bacteria/classification/isolation & purification ; Clostridium Infections/microbiology/*therapy ; *Fecal Microbiota Transplantation ; Feces/microbiology ; Gastrointestinal Microbiome/*physiology ; Humans ; Symbiosis ; Tissue Donors ; Transplantation, Homologous
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2016-08-11
    Description: : MOCAT2 is a software pipeline for metagenomic sequence assembly and gene prediction with novel features for taxonomic and functional abundance profiling. The automated generation and efficient annotation of non-redundant reference catalogs by propagating pre-computed assignments from 18 databases covering various functional categories allows for fast and comprehensive functional characterization of metagenomes. Availability and Implementation: MOCAT2 is implemented in Perl 5 and Python 2.7, designed for 64-bit UNIX systems and offers support for high-performance computer usage via LSF, PBS or SGE queuing systems; source code is freely available under the GPL3 license at http://mocat.embl.de . Contact : bork@embl.de Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 6
    Publication Date: 2016-09-12
    Description: Motivation : Data on bioactivities of drug-like chemicals are rapidly accumulating in public repositories, creating new opportunities for research in computational systems pharmacology. However, integrative analysis of these data sets is difficult due to prevailing ambiguity between chemical names and identifiers and a lack of cross-references between databases. Results : To address this challenge, we have developed CART, a Chemical Annotation Retrieval Toolkit. As a key functionality, it matches an input list of chemical names into a comprehensive reference space to assign unambiguous chemical identifiers. In this unified space, bioactivity annotations can be easily retrieved from databases covering a wide variety of chemical effects on biological systems. Subsequently, CART can determine annotations enriched in the input set of chemicals and display these in tabular format and interactive network visualizations, thereby facilitating integrative analysis of chemical bioactivity data. Availability and Implementation : CART is available as a Galaxy web service (cart.embl.de). Source code and an easy-to-install command line tool can also be obtained from the web site. Contact : bork@embl.de Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 7
    Publication Date: 2014-04-25
    Description: We present Oqtans , an open-source workbench for quantitative transcriptome analysis, that is integrated in Galaxy . Its distinguishing features include customizable computational workflows and a modular pipeline architecture that facilitates comparative assessment of tool and data quality. Oqtans integrates an assortment of machine learning-powered tools into Galaxy , which show superior or equal performance to state-of-the-art tools. Implemented tools comprise a complete transcriptome analysis workflow: short-read alignment, transcript identification/quantification and differential expression analysis. Oqtans and Galaxy facilitate persistent storage, data exchange and documentation of intermediate results and analysis workflows. We illustrate how Oqtans aids the interpretation of data from different experiments in easy to understand use cases. Users can easily create their own workflows and extend Oqtans by integrating specific tools. Oqtans is available as (i) a cloud machine image with a demo instance at cloud.oqtans.org, (ii) a public Galaxy instance at galaxy.cbio.mskcc.org, (iii) a git repository containing all installed software (oqtans.org/git); most of which is also available from (iv) the Galaxy Toolshed and (v) a share string to use along with Galaxy CloudMan . Contact: vipin@cbio.mskcc.org , ratschg@mskcc.org Supplementary information: Supplementary data are available at Bioinformatics online.
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    Topics: Biology , Computer Science , Medicine
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  • 8
    Publication Date: 2009-06-03
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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