BiRen: A Python repository from EngineerKhan

============================================================== DEPENDENCIES:

OS: Linux

Installing torch and basic package dependencies following instructions from http://torch.ch/docs/getting-started.html You may need to install cmake if you do not have it already. It is highly recommended to link against OpenBLAS or other optimized BLAS library when building torch.
npy4th A package to load/save numpy files for troch7 Requirements: torch7 xlua Installation: git clone https://github.com/htwaijry/npy4th.git cd npy4th luarocks make
Python 2.7.x, numpy, pandas, scipy, scikit-learn
Installing Theano and basic package dependencies following instructions from http://deeplearning.net/software/theano/install.html
Installing Lasagne and basic package dependencies following instructions from https://github.com/Lasagne/Lasagne or http://lasagne.readthedocs.org/en/latest/user/installation.html
bedtools (>= 2.25.0) make sure the bedtools has already exported to PATH
bigWigAverageOverBed

=============================================================== USAGE:

STEP 1: Data preprocessing

Example run:

python dataEncode.py example genome.fa EvolutionaryConservation.bw

step1 must contain the following files:

dataEncode.py
transformTo1Kformat.py
genome.fa
OneHotTransform.py
DeepSEA.lua
deepsea.cpu
ExtractCoreRegion.py
bigWigAverageOverBed
EvolutionaryConservation.bw
SortConsBed.py
AddConsToDeepSeaRes.py
RNNDataFormat.py

In this step, the predict target should be .BED format (example.bed), each region should be large than 200bp.

genome.fa is the Human(hg19) whole genome seuqnece which can be obtained from UCSC Genome Browser,please merge all chromosome and rename "genome.fa",or you can download from:

ftp://123.56.134.57/data/genome.fa

EvolutionaryConservation.bw was taken from the vertebrate phastCons44way track from USCS Genome Browser, or you can download from:

ftp://123.56.134.57/data/EvolutionaryConservation.bw

deepsea.cpu is DeepSEA trained model, you can download from:

ftp://123.56.134.57/data/deepsea.cpu

output files will be under "example" folder:

example_data.npy
example_mask.npy

STEP 2: Prediction procedure

step2 must contain the following files:

BiRen.py
BiRen_trained_model.npy

Example run:

python BiRen.py example

output files will be under ./example : example.out

Here is a minnimal example:

chr20	2719208	2719789	0.220106445764

chr5	2112055	2113430	0.859481014407

The four columns are chromosome, start position, end position and enhancer probabiliy score.

EngineerKhan/BiRen