FBB specifications
Information
| Unique identifier | OMICS_12992 |
|---|---|
| Name | FBB |
| Alternative name | Fast Bayesian Bound |
| Software type | Package/Module |
| Interface | Command line interface |
| Restrictions to use | None |
| Input format | SAM, FASTA, gff/gff3 |
| Output data | Estimates of the FBB score, the false positive pairs, and the percentage of alignments to the incorrect strand |
| Output format | dat |
| Operating system | Unix/Linux |
| Programming languages | C++ |
| License | GNU General Public License version 3.0 |
| Computer skills | Advanced |
| Stability | Stable |
| Maintained | Yes |
Download
Versioning
No version available
Maintainer
- person_outline Ramón Huerta
Publication for Fast Bayesian Bound
2017 Bioinformatics
PMID: 27663496
FBB institution(s)
BioCircuits Institute, University of California, San Diego, La Jolla, CA, USA; Machine Learning Group, Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain; Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA; Molecular Biology Section, Division of Biological Science, University of California, San Diego, La Jolla, CA, USA
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