Title |
Kerfuffle: a web tool for multi-species gene colocalization analysis
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Published in |
BMC Bioinformatics, January 2013
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DOI | 10.1186/1471-2105-14-22 |
Pubmed ID | |
Authors |
Robert Aboukhalil, Bernard Fendler, Gurinder S Atwal |
Abstract |
The evolutionary pressures that underlie the large-scale functional organization of the genome are not well understood in eukaryotes. Recent evidence suggests that functionally similar genes may colocalize (cluster) in the eukaryotic genome, suggesting the role of chromatin-level gene regulation in shaping the physical distribution of coordinated genes. However, few of the bioinformatic tools currently available allow for a systematic study of gene colocalization across several, evolutionarily distant species. Furthermore, most tools require the user to input manually curated lists of gene position information, DNA sequence or gene homology relations between species. With the growing number of sequenced genomes, there is a need to provide new comparative genomics tools that can address the analysis of multi-species gene colocalization. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 29% |
United Kingdom | 2 | 14% |
India | 2 | 14% |
Germany | 1 | 7% |
Canada | 1 | 7% |
Australia | 1 | 7% |
Norway | 1 | 7% |
Unknown | 2 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 64% |
Members of the public | 4 | 29% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 6% |
Netherlands | 1 | 3% |
Brazil | 1 | 3% |
Australia | 1 | 3% |
Sri Lanka | 1 | 3% |
India | 1 | 3% |
Unknown | 27 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 32% |
Student > Ph. D. Student | 9 | 26% |
Professor > Associate Professor | 4 | 12% |
Student > Master | 4 | 12% |
Student > Bachelor | 2 | 6% |
Other | 4 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 21 | 62% |
Biochemistry, Genetics and Molecular Biology | 5 | 15% |
Computer Science | 3 | 9% |
Engineering | 2 | 6% |
Medicine and Dentistry | 1 | 3% |
Other | 0 | 0% |
Unknown | 2 | 6% |