Literature DB >> 26323714

RNASeqMetaDB: a database and web server for navigating metadata of publicly available mouse RNA-Seq datasets.

Zhengyu Guo1, Boriana Tzvetkova2, Jennifer M Bassik3, Tara Bodziak3, Brianna M Wojnar3, Wei Qiao4, Md A Obaida4, Sacha B Nelson2, Bo Hua Hu3, Peng Yu1.   

Abstract

UNLABELLED: Gene targeting is a protocol for introducing a mutation to a specific gene in an organism. Because of the importance of in vivo assessment of gene function and modeling of human diseases, this technique has been widely adopted to generate a large number of mutant mouse models. Due to the recent breakthroughs in high-throughput sequencing technologies, RNA-Seq experiments have been performed on many of these mouse models, leading to hundreds of publicly available datasets. To facilitate the reuse of these datasets, we collected the associated metadata and organized them in a database called RNASeqMetaDB. The metadata were manually curated to ensure annotation consistency. We developed a web server to allow easy database navigation and data querying. Users can search the database using multiple parameters like genes, diseases, tissue types, keywords and associated publications in order to find datasets that match their interests. Summary statistics of the metadata are also presented on the web server showing interesting global patterns of RNA-Seq studies.
AVAILABILITY AND IMPLEMENTATION: Freely available on the web at http://rnaseqmetadb.ece.tamu.edu.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2015        PMID: 26323714      PMCID: PMC4692969          DOI: 10.1093/bioinformatics/btv503

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  16 in total

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  5 in total

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5.  RBPMetaDB: a comprehensive annotation of mouse RNA-Seq datasets with perturbations of RNA-binding proteins.

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  5 in total

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