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SEQanswers: an Open Access Community for Collaboratively Decoding Genomes

Overview
Journal Bioinformatics
Publisher Oxford University Press
Specialty Biology
Date 2012 Mar 16
PMID 22419780
Citations 23
Authors
Jing-Woei Li
Robert Schmieder
R Matthew Ward
Joann Delenick
Eric C Olivares
David Mittelman
Affiliations
Soon will be listed here.
Abstract

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/

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