| Literature DB >> 26323714 |
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.Entities:
Mesh:
Year: 2015 PMID: 26323714 PMCID: PMC4692969 DOI: 10.1093/bioinformatics/btv503
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937