Title |
Identifying elemental genomic track types and representing them uniformly
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Published in |
BMC Bioinformatics, December 2011
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DOI | 10.1186/1471-2105-12-494 |
Pubmed ID | |
Authors |
Sveinung Gundersen, Matúš Kalaš, Osman Abul, Arnoldo Frigessi, Eivind Hovig, Geir Kjetil Sandve |
Abstract |
With the recent advances and availability of various high-throughput sequencing technologies, data on many molecular aspects, such as gene regulation, chromatin dynamics, and the three-dimensional organization of DNA, are rapidly being generated in an increasing number of laboratories. The variation in biological context, and the increasingly dispersed mode of data generation, imply a need for precise, interoperable and flexible representations of genomic features through formats that are easy to parse. A host of alternative formats are currently available and in use, complicating analysis and tool development. The issue of whether and how the multitude of formats reflects varying underlying characteristics of data has to our knowledge not previously been systematically treated. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 25% |
Norway | 1 | 25% |
Germany | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 3 | 5% |
Germany | 2 | 3% |
Colombia | 1 | 2% |
Norway | 1 | 2% |
Netherlands | 1 | 2% |
Unknown | 50 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 31% |
Student > Ph. D. Student | 9 | 16% |
Student > Master | 6 | 10% |
Professor | 5 | 9% |
Student > Bachelor | 4 | 7% |
Other | 11 | 19% |
Unknown | 5 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 22 | 38% |
Computer Science | 9 | 16% |
Biochemistry, Genetics and Molecular Biology | 8 | 14% |
Mathematics | 3 | 5% |
Medicine and Dentistry | 3 | 5% |
Other | 8 | 14% |
Unknown | 5 | 9% |