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SEQanswers: an open access community for collaboratively decoding genomes

Summary: The affordability of high-throughput sequencing has created an unprecedented surge in the use of genomic data in basic, translational and clinical research. The rapid evolution of sequencing technology, coupled with its broad adoption across biology and medicine, necessitates fast, collabor...

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Detalles Bibliográficos
Autores principales: Li, Jing-Woei, Schmieder, Robert, Ward, R. Matthew, Delenick, Joann, Olivares, Eric C., Mittelman, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338018/
https://www.ncbi.nlm.nih.gov/pubmed/22419780
http://dx.doi.org/10.1093/bioinformatics/bts128
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author Li, Jing-Woei
Schmieder, Robert
Ward, R. Matthew
Delenick, Joann
Olivares, Eric C.
Mittelman, David
author_facet Li, Jing-Woei
Schmieder, Robert
Ward, R. Matthew
Delenick, Joann
Olivares, Eric C.
Mittelman, David
author_sort Li, Jing-Woei
collection PubMed
description Summary: The affordability of high-throughput sequencing has created an unprecedented surge in the use of genomic data in basic, translational and clinical research. The rapid evolution of sequencing technology, coupled with its broad adoption across biology and medicine, necessitates fast, collaborative interdisciplinary discussion. SEQanswers provides a real-time knowledge-sharing resource to address this need, covering experimental and computational aspects of sequencing and sequence analysis. Developers of popular analysis tools are among the >4000 active members, and ~40 peer-reviewed publications have referenced SEQanswers. Availability: The SEQanswers community is freely accessible at http://SEQanswers.com/ Contact: david.mittelman@vt.edu; ecolivares@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-33380182012-04-27 SEQanswers: an open access community for collaboratively decoding genomes Li, Jing-Woei Schmieder, Robert Ward, R. Matthew Delenick, Joann Olivares, Eric C. Mittelman, David Bioinformatics Applications Note Summary: The affordability of high-throughput sequencing has created an unprecedented surge in the use of genomic data in basic, translational and clinical research. The rapid evolution of sequencing technology, coupled with its broad adoption across biology and medicine, necessitates fast, collaborative interdisciplinary discussion. SEQanswers provides a real-time knowledge-sharing resource to address this need, covering experimental and computational aspects of sequencing and sequence analysis. Developers of popular analysis tools are among the >4000 active members, and ~40 peer-reviewed publications have referenced SEQanswers. Availability: The SEQanswers community is freely accessible at http://SEQanswers.com/ Contact: david.mittelman@vt.edu; ecolivares@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2012-05-01 2012-03-13 /pmc/articles/PMC3338018/ /pubmed/22419780 http://dx.doi.org/10.1093/bioinformatics/bts128 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Li, Jing-Woei
Schmieder, Robert
Ward, R. Matthew
Delenick, Joann
Olivares, Eric C.
Mittelman, David
SEQanswers: an open access community for collaboratively decoding genomes
title SEQanswers: an open access community for collaboratively decoding genomes
title_full SEQanswers: an open access community for collaboratively decoding genomes
title_fullStr SEQanswers: an open access community for collaboratively decoding genomes
title_full_unstemmed SEQanswers: an open access community for collaboratively decoding genomes
title_short SEQanswers: an open access community for collaboratively decoding genomes
title_sort seqanswers: an open access community for collaboratively decoding genomes
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338018/
https://www.ncbi.nlm.nih.gov/pubmed/22419780
http://dx.doi.org/10.1093/bioinformatics/bts128
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