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Chickspress: a resource for chicken gene expression.


ABSTRACT: High-throughput sequencing and proteomics technologies are markedly increasing the amount of RNA and peptide data that are available to researchers, which are typically made publicly available via data repositories such as the NCBI Sequence Read Archive and proteome archives, respectively. These data sets contain valuable information about when and where gene products are expressed, but this information is not readily obtainable from archived data sets. Here we report Chickspress (http://geneatlas.arl.arizona.edu), the first publicly available gene expression resource for chicken tissues. Since there is no single source of chicken gene models, Chickspress incorporates both NCBI and Ensembl gene models and links these gene sets with experimental gene expression data and QTL information. By linking gene models from both NCBI and Ensembl gene prediction pipelines, researchers can, for the first time, easily compare gene models from each of these prediction workflows to available experimental data for these products. We use Chickspress data to show the differences between these gene annotation pipelines. Chickspress also provides rapid search, visualization and download capacity for chicken gene sets based upon tissue type, developmental stage and experiment type. This first Chickspress release contains 161 gene expression data sets, including expression of mRNAs, miRNAs, proteins and peptides. We provide several examples demonstrating how researchers may use this resource.

SUBMITTER: McCarthy FM 

PROVIDER: S-EPMC6556980 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Chickspress: a resource for chicken gene expression.

McCarthy Fiona M FM   Pendarvis Ken K   Cooksey Amanda M AM   Gresham Cathy R CR   Bomhoff Matt M   Davey Sean S   Lyons Eric E   Sonstegard Tad S TS   Bridges Susan M SM   Burgess Shane C SC  

Database : the journal of biological databases and curation 20190101


High-throughput sequencing and proteomics technologies are markedly increasing the amount of RNA and peptide data that are available to researchers, which are typically made publicly available via data repositories such as the NCBI Sequence Read Archive and proteome archives, respectively. These data sets contain valuable information about when and where gene products are expressed, but this information is not readily obtainable from archived data sets. Here we report Chickspress (http://geneatl  ...[more]

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