Title |
Genome SEGE: A database for 'intronless' genes in eukaryotic genomes
|
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Published in |
BMC Bioinformatics, June 2004
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DOI | 10.1186/1471-2105-5-67 |
Pubmed ID | |
Authors |
Meena Kishore Sakharkar, Pandjassarame Kangueane |
Abstract |
A number of completely sequenced eukaryotic genome data are available in the public domain. Eukaryotic genes are either 'intron containing' or 'intronless'. Eukaryotic 'intronless' genes are interesting datasets for comparative genomics and evolutionary studies. The SEGE database containing a collection of eukaryotic single exon genes is available. However, SEGE is derived using GenBank. The redundant, incomplete and heterogeneous qualities of GenBank data are a bottleneck for biological investigation in comparative genomics and evolutionary studies. Such studies often require representative gene sets from each genome and this is possible only by deriving specific datasets from completely sequenced genome data. Thus Genome SEGE, a database for 'intronless' genes in completely sequenced eukaryotic genomes, has been constructed. Availability: http://sege.ntu.edu.sg/wester/intronless |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 2% |
United States | 1 | 2% |
Germany | 1 | 2% |
Unknown | 45 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 23% |
Professor | 5 | 10% |
Student > Ph. D. Student | 5 | 10% |
Student > Bachelor | 4 | 8% |
Other | 4 | 8% |
Other | 11 | 23% |
Unknown | 8 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 24 | 50% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Medicine and Dentistry | 5 | 10% |
Mathematics | 1 | 2% |
Nursing and Health Professions | 1 | 2% |
Other | 4 | 8% |
Unknown | 8 | 17% |