| Title |
RNASeqMetaDB: a database and web server for navigating metadata of publicly available mouse RNA-Seq datasets
|
|---|---|
| Published in |
Bioinformatics, August 2015
|
| DOI | 10.1093/bioinformatics/btv503 |
| Pubmed ID | |
| Authors |
Zhengyu Guo, Boriana Tzvetkova, Jennifer M Bassik, Tara Bodziak, Brianna M Wojnar, Wei Qiao, Md A Obaida, Sacha B Nelson, Bo Hua Hu, Peng Yu |
| Abstract |
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 data sets. To facilitate the reuse of these data sets, we collected the associated metadata and organized them in a database called RNASeqMetaDB. The metadata was 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 data sets that match their interests. Summary statistics of the metadata is also presented on the web server showing interesting global patterns of RNA-Seq studies. Freely available on the web at http://rnaseqmetadb.ece.tamu.edu. [email protected] information. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Germany | 2 | 5% |
| Hungary | 1 | 3% |
| France | 1 | 3% |
| China | 1 | 3% |
| Unknown | 30 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 30% |
| Researcher | 11 | 30% |
| Other | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 38% |
| Computer Science | 8 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Physics and Astronomy | 1 | 3% |
| Chemistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 6 | 16% |