NPLB

No Promoter Left Behind - learn de novo promoter architectures from genome-wide TSSs

NPLB comes with a set of two commands: promoterLearn and promoterClassify. promoterLearn is used on a fasta file containing a list promoter sequences. It finds the optimal number of promoter architectures(PAs) each with their own set of promoter elements(PEs). promoterClassify can be used explore new PAs in a different dataset based on an existing model found by promoterLearn. It is also available as a web based application at http://nplb.ncl.res.in.

Prerequisites

Download

NPLB can be downloaded from https://github.com/computationalBiology/NPLB/archive/v1.0.0.tar.gz. It can be run on any Mac or Linux system.

Installation

In order to download and install NPLB, execute the following steps:

Publication

Mitra S. and Narlikar L., No Promoter Left Behind (NPLB): learn de novo promoter architectures from genome-wide transcription start sites, Bioinformatics, 32(5):779-781, 2016. [ Full Text ]

Contact

The complete Documentation can be downloaded from here. For further details: l.narlikar@ncl.res.in

License

GNU General Public License v3.0