New Results
APRICOT: an integrated computational pipeline for the sequence-based identification and characterization of RNA-binding proteins
View ORCID ProfileMalvika Sharan, View ORCID ProfileKonrad U. Förstner, View ORCID ProfileAna Eulalio, View ORCID ProfileJörg Vogel
doi: https://doi.org/10.1101/055178
Malvika Sharan
1Institute for Molecular Infection Biology, University of Würzburg, Würzburg, Germany
Konrad U. Förstner
2Core Unit Systems Medicine, University of Würzburg, Würzburg, Germany
Ana Eulalio
1Institute for Molecular Infection Biology, University of Würzburg, Würzburg, Germany
Jörg Vogel
1Institute for Molecular Infection Biology, University of Würzburg, Würzburg, Germany
Article usage
Posted May 24, 2016.
APRICOT: an integrated computational pipeline for the sequence-based identification and characterization of RNA-binding proteins
Malvika Sharan, Konrad U. Förstner, Ana Eulalio, Jörg Vogel
bioRxiv 055178; doi: https://doi.org/10.1101/055178
Subject Area
Subject Areas
- Biochemistry (11573)
- Bioengineering (8623)
- Bioinformatics (28875)
- Biophysics (14805)
- Cancer Biology (11944)
- Cell Biology (17170)
- Clinical Trials (138)
- Developmental Biology (9307)
- Ecology (14022)
- Epidemiology (2067)
- Evolutionary Biology (18129)
- Genetics (12148)
- Genomics (16619)
- Immunology (11712)
- Microbiology (27702)
- Molecular Biology (11401)
- Neuroscience (60106)
- Paleontology (448)
- Pathology (1849)
- Pharmacology and Toxicology (3184)
- Physiology (4878)
- Plant Biology (10279)
- Synthetic Biology (2849)
- Systems Biology (7291)
- Zoology (1619)