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Program to analyse CHIP-seq and RNA-seq data - Final Project Bioinformatics Subject from Biochemistry Degree 2017

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MARLAU

Program to analyse CHIP-seq and RNA-seq data

This program is the final proyect of Bioinformatics and Genomics Analysis subject of the 4th year in the Biochemistry Degree at University of Seville.

INSTALLATION:

To install MARLAU follow these steps:

  1. Download the zip file MARLAU.zip to a directory of your choice. The opt directory is recommended.

  2. Unzip the file:
    unzip MARLAU.zip

  3. Edit your .bashrc file to add the MARLAU path to PATH.
    Open a terminal Ctrl+Alt+T
    cd
    vim .bashrc or nano .bashrc or gedit .bashrc
    add to the end of the filethe MARLAU path
    PATH=$PATH:MARLAU_PATH

PROGRAMS REQUIRED:

  • Bowtie 2 version 2.2.6
  • TopHat v2.1.0
  • FastQC v0.11.2
  • cufflinks v2.2.1
  • merge_cuff_asms v1.0.0
  • cuffdiff v2.2.1
  • R scripting front-end version 3.2.1 (2015-06-18)
  • R version 3.2.1 (2015-06-18) -- "World-Famous Astronaut"
  • bowtie version 1.1.2
  • samtools version 0.1.18
  • macs2 2.1.0.20151222
  • PeakAnnotator 1.4
  • homer v4.8.3
  • R package "cummeRbund"

USAGE:

MARLAU "working_directory" "experiment" "/home/opt/parameter_file_rnaseq.txt" "/home/opt/parameter_file_chipseq.txt"

working_directory (opt directory recommended)

parameter_file_rnaseq.txt and parameter_file_chipseq.txt must be in the working_directory (opt directory recommended)

RNA-SEQ PARAMETER FILE STRUCTURE:

working_directory: /PATH/TO/WORKING/DIRECTORY (WORKING/DIR_MARLAU/EXPERIMENT_MARLAU)
experiment: EXPERIMENT_NAME
number_of_samples: #
url_genome:
url_annotation:
url_sample_1:
url_sample_X:
labels: con1,cond2,cond3
experimental_design: 2,2,3 (Nº of samples of each condition)
comparisons: 1,2,1,3,2,3 (cond1-cond2, cond1-cond3, cond2-cond3)
threshold: # (fold-change value)
pvalue: #

CHIP-SEQ PARAMETER FILE STRUCTURE:

working_directory: /PATH/TO/WORKING/DIRECTORY (WORKING/DIR_MARLAU/EXPERIMENT_MARLAU)
experiment: EXPERIMENT_NAME
experimental_design: 1,1,2,1 (Nº CHIP cond 1, Nº INPUT cond 1, Nº CHIP cond 2, Nº INPUT cond 2)
url_genome:
url_annotation:
experiment_type: TF (TF for transcription factor or EP for epigenetics marks)
targets_threshold: # (threshold for NDG targets)
url_chip1:
url_chipX:
url_input1:
url_inputX:

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