rbpisupati Goto Github PK

biostatisticsinr

git repo for stats tutorials

comparevcftodataacc

compare a vcf to database snps

configs

Config files used to define parameters specific to compute environments at different Institutions

cv

My CV built using RMarkdown and the pagedown package.

data-repo

Repository for easy referencing NGS sequencing data

downloadfromsra

Containerized NextFlow Workflow to Easily Down Sra Files

exploringtesincannabisgenome

Required scripts and data for the entire analysis in Pisupati et. al. 2018

freebayes

gemma

Genome-wide Efficient Mixed Model Association

limix

Linear mixed model for genomic analyses.

methylseq

Methylation (Bisulfite-Sequencing) analysis pipeline using Bismark or bwa-meth + MethylDackel

mixmogam

Mixed Model Package For Genome-wide association mapping.

nextflow_pipelines

The set of NGS processing pipelines used at Babraham

nf-genome_blasts

Pipeline to perform local alignments of given sequences to other genomes

nf-haplocaller

Nextflow pipeline for GATK best practices (HaplotypeCaller)

nf-repeatexplorer

Nextflow Pipeline for running Repeat Explorer

nf-snpmatch

Nextflow pipeline for SNPmatch (https://github.com/Gregor-Mendel-Institute/SNPmatch.git)

pybsseq

bsseq toolkit in python

pybstoolkit

Python API to analyse bisulfite sequencing data

pygenome

Python API for working with genome fasta/bed/annotations

pygwas

pylmm

A fast and lightweight python-based linear mixed-model solver for use in genome-wide association studies.

pymc-resources

PyMC educational resources

pyqtl

QTL mapping using probabilistic programming (pyTorch and PyRo)

python-genome-browser

Tools for making plots of genomic datasets in a genome-browser-like format

quantitativeomics

A toolkit for genomics, quantitative genetics

r-for-beginners

Learn R in simple and easy steps starting from basic to advanced concepts with examples. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.

r-programming-exercises-practice-solution

The best way we learn anything is by practice and exercise questions. These exercises help you to improve your R programming coding skills

rabbit

A Mathematica pipeline for genetic analysis in multiparental populations

rbpisupati

Config files for my GitHub profile.