| Title |
MetWAMer: eukaryotic translation initiation site prediction
|
|---|---|
| Published in |
BMC Bioinformatics, September 2008
|
| DOI | 10.1186/1471-2105-9-381 |
| Pubmed ID | |
| Authors |
Michael E Sparks, Volker Brendel |
| Abstract |
Translation initiation site (TIS) identification is an important aspect of the gene annotation process, requisite for the accurate delineation of protein sequences from transcript data. We have developed the MetWAMer package for TIS prediction in eukaryotic open reading frames of non-viral origin. MetWAMer can be used as a stand-alone, third-party tool for post-processing gene structure annotations generated by external computational programs and/or pipelines, or directly integrated into gene structure prediction software implementations. |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Italy | 1 | 2% |
| Brazil | 1 | 2% |
| India | 1 | 2% |
| Belgium | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 40 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 34% |
| Researcher | 9 | 19% |
| Student > Master | 6 | 13% |
| Student > Bachelor | 3 | 6% |
| Student > Postgraduate | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 34% |
| Biochemistry, Genetics and Molecular Biology | 10 | 21% |
| Computer Science | 7 | 15% |
| Psychology | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2010.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from BMC Bioinformatics
#4,029
of 7,692 outputs
Outputs of similar age
#81,951
of 98,828 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 39 outputs
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