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Hyalella azteca Official Gene Set v1.0

The Hyalella azteca genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. The Hyalella azteca research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.0. The OGS is an integration of automatic gene predictions from Maker with manual annotations by the research community (via the Apollo manual annotation software).

If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use

Dataset Info

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Poynton, Helen
Bain, Peter
Benoit, Joshua B.
Boucher, Peter
Chen, Mei-Ju May
Chen, Shuai
Christie, Andrew E.
Connolly, Joseph
Cridge, Andrew
Etxabe, Amaia
Glazier, Amanda
Hasenbein, Simone
Hughes, Daniel S.T.
Jennings, Emily C.
Jones, Jeffery W.
Kearns, Patrick
Lambert, Faith
Lin, Yu-Yu
Major, Charles
Manny, Austin
Mathers, Nick
Mechler-Hickson, Alexandra
Munoz-Torres, Monica
Poelchau, Monica
Robertson, Hugh M.
Scanlan, Jack
Szuter, Elise M.
Werren, Jack
Wood, Shelly Ann
Winchell, Kristin
Richards, Stephen
Product Type
Genome/Genetics Data
Contact Name
Poynton, Helen
Contact Email
Public Access Level
Related Content
Funding Source(s)
National Human Genome Research Institute
U54 HG003273
National Science Foundation
Dataset DOI (digital object identifier)
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
Modified Date
Release Date
Ag Data Commons Keywords: 
  • Genomics & Genetics
  • Genomics & Genetics
  • Genome
  • Genomics & Genetics
  • Genome
  • Genome annotation
National Agricultural Library Thesaurus Term: 
User-supplied Tags: 
ISO Topic(s):