| Title |
GenoBase: comprehensive resource database of Escherichia coli K-12
|
|---|---|
| Published in |
Nucleic Acids Research, November 2014
|
| DOI | 10.1093/nar/gku1164 |
| Pubmed ID | |
| Authors |
Yuta Otsuka, Ai Muto, Rikiya Takeuchi, Chihiro Okada, Motokazu Ishikawa, Koichiro Nakamura, Natsuko Yamamoto, Hitomi Dose, Kenji Nakahigashi, Shigeki Tanishima, Sivasundaram Suharnan, Wataru Nomura, Toru Nakayashiki, Walid G. Aref, Barry R. Bochner, Tyrrell Conway, Michael Gribskov, Daisuke Kihara, Kenneth E. Rudd, Yukako Tohsato, Barry L. Wanner, Hirotada Mori |
| Abstract |
Comprehensive experimental resources, such as ORFeome clone libraries and deletion mutant collections, are fundamental tools for elucidation of gene function. Data sets by omics analysis using these resources provide key information for functional analysis, modeling and simulation both in individual and systematic approaches. With the long-term goal of complete understanding of a cell, we have over the past decade created a variety of clone and mutant sets for functional genomics studies of Escherichia coli K-12. We have made these experimental resources freely available to the academic community worldwide. Accordingly, these resources have now been used in numerous investigations of a multitude of cell processes. Quality control is extremely important for evaluating results generated by these resources. Because the annotation has been changed since 2005, which we originally used for the construction, we have updated these genomic resources accordingly. Here, we describe GenoBase (http://ecoli.naist.jp/GB/), which contains key information about comprehensive experimental resources of E. coli K-12, their quality control and several omics data sets generated using these resources. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| New Zealand | 1 | 17% |
| Japan | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | <1% |
| Cambodia | 1 | <1% |
| Greece | 1 | <1% |
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 108 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 24% |
| Researcher | 23 | 20% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 11 | 10% |
| Professor | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 17 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 32% |
| Biochemistry, Genetics and Molecular Biology | 26 | 23% |
| Computer Science | 6 | 5% |
| Engineering | 6 | 5% |
| Chemical Engineering | 4 | 4% |
| Other | 12 | 11% |
| Unknown | 23 | 20% |