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 |
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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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