Cargando…
GISMO—gene identification using a support vector machine for ORF classification
We present the novel prokaryotic gene finder GISMO, which combines searches for protein family domains with composition-based classification based on a support vector machine. GISMO is highly accurate; exhibiting high sensitivity and specificity in gene identification. We found that it performs well...
Autores principales: | Krause, Lutz, McHardy, Alice C., Nattkemper, Tim W., Pühler, Alfred, Stoye, Jens, Meyer, Folker |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1802617/ https://www.ncbi.nlm.nih.gov/pubmed/17175534 http://dx.doi.org/10.1093/nar/gkl1083 |
Ejemplares similares
-
The Gismo project
por: Atwood, W B, et al.
Publicado: (1993) -
Gismo: C++ Classes for HEP
por: Atwood, B W, et al.
Publicado: (1992) -
Project report on Gismo - Phase 1
por: Atwood, W B, et al.
Publicado: (1991) -
The Gismo lectures : tele-conference at Stanford, CA, USA
por: Atwood, William B
Publicado: (1993) -
Phylogenetic classification of short environmental DNA fragments
por: Krause, Lutz, et al.
Publicado: (2008)