avrajit Goto Github PK

2016-summer-workshop

ISCB DC Area Regional Student Group - Summer 2016 Workshop

avrajit

Config files for my GitHub profile.

bioconductor-workshop-r

R package containing instructional materials for using GoogleGenomics Bioconductor and bigrquery packages.

bioinformatics-training

Bioinformatics training resources

cdna_primer

Scripts for processing PacBio transcriptome (Iso-Seq) data

coloncancerwgbs

Six paired tumor-normal WGBS samples from Ziller et al. (2013) PMID: 23925113. Only chr22.

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cytoscape-tutorials

Collection of modular Cytoscape tutorials for online presentation using reveal.js

datasciencecoursera

Coursera datascience related

datasharing

The Leek group guide to data sharing

dirt

The source code of the publication :Image-based high-throughput field phenotyping of crop roots"

docker-pear

PEAR: Paired-End reAd mergeR

eda_project2

This Repo contain files related to Exploratory data analysis course project2

exploratory-data-analysis

genomicsdb

GenomicsDB

getting-and-cleaning-data_coursera

intro-to-chipseq

Intro to ChIPseq using HPC

jitnew

New Repo with Linux

labs

Rmd source files for the HarvardX series PH525x

microbiome_helper

An assortment of scripts to help process and automate various microbiome and metagenomic bioinformatic tools.

necklace

Combine reference and assembled transcriptomes for RNA-Seq analysis

nextflow

NextFlow--Tutorial

nextflow-1

A DSL for data-driven computational pipelines

nextflow_tutorial

learning process of nextflow

oncoprint

Create beautilful oncoprints in R

pbh5tools

A swiss-army knife for interrogating PacBio® HDF5 files (cmp.h5, bas.h5)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

prokka

:zap: :aquarius: Rapid prokaryotic genome annotation

proteomicsbioc2014workshop

Bioc2014 workshop on R / Bioconductor packages for Proteomics

rforproteomics

Using R and Bioconductor packages for the analysis and comprehension of proteomics data.