Title | ||
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Figmop: a profile HMM to identify genes and bypass troublesome gene models in draft genomes. |
Abstract | ||
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Motivation: Gene models from draft genome assemblies of metazoan species are often incorrect, missing exons or entire genes, particularly for large gene families. Consequently, labour-intensive manual curation is often necessary. We present Figmop (Finding Genes using Motif Patterns) to help with the manual curation of gene families in draft genome assemblies. The program uses a pattern of short sequence motifs to identify putative genes directly from the genome sequence. Using a large gene family as a test case, Figmop was found to be more sensitive and specific than a BLAST-based approach. The visualization used allows the validation of potential genes to be carried out quickly and easily, saving hours if not days from an analysis. |
Year | DOI | Venue |
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2014 | 10.1093/bioinformatics/btu544 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 30 | 22 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
2 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
David M. Curran | 1 | 0 | 0.34 |
John S. Gilleard | 2 | 0 | 0.34 |
James Wasmuth | 3 | 64 | 3.65 |