Difference between revisions of "File:PAG2009NextGenSeqPoster.ppt"
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= Managing Next Generation Sequence Data with GMOD = | = Managing Next Generation Sequence Data with GMOD = | ||
− | Poster by [[User:Clements|Dave Clements]], [[User:Scott|Scott Cain]], Paul Hohenlohe, Nicholas Stiffler, Eric Johnson, and William Cresko, presented at [[PAG 2009]]. | + | Poster by [[User:Clements|Dave Clements]], [[User:Scott|Scott Cain]], Paul Hohenlohe, Nicholas Stiffler, Paul Etter, Eric Johnson, and William Cresko, presented at [[PAG 2009]]. This poster is also available [[Image:PAG2009NextGenSeqPoster.pdf|as a PDF]]. |
== Abstract == | == Abstract == | ||
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== Content == | == Content == | ||
− | Poster describes high throughput sequencing with threespine stickleback populations and then visualizing allele and genotype frequencies (SNPs) using [[GBrowse]]. Also discusses [[Apollo]] and [[Chado]]. | + | Poster describes using high throughput sequencing with threespine stickleback populations and then visualizing the resulting allele and genotype frequencies (SNPs) using [[GBrowse]]. Also discusses [[Apollo]] and [[Chado]]. |
Latest revision as of 06:52, 10 January 2009
Managing Next Generation Sequence Data with GMOD
Poster by Dave Clements, Scott Cain, Paul Hohenlohe, Nicholas Stiffler, Paul Etter, Eric Johnson, and William Cresko, presented at PAG 2009. This poster is also available File:PAG2009NextGenSeqPoster.pdf.
Abstract
Next generation sequencing is flooding many organizations with enormous amounts of genomic data. A single machine can now produce three billion base pair reads (the size of the human genome) every three days. Components from the GMOD Project (http://gmod.org) can help visualize, manage and annotate this deluge of data. We describe how to use GMOD tools to gain new insights with high-throughput sequence data.
Content
Poster describes using high throughput sequencing with threespine stickleback populations and then visualizing the resulting allele and genotype frequencies (SNPs) using GBrowse. Also discusses Apollo and Chado.
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