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Md Mesbah Uddin

Md Mesbah Uddin's Projects

svtools icon svtools

Tools for processing and analyzing structural variants.

svviz icon svviz

Read visualizer for structural variants

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

topmed_workshop_2018 icon topmed_workshop_2018

Course materials for SISG Module 12: Computational Pipeline for WGS Data, July 18-20, 2018

torch-residual-networks icon torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

twosamplemr icon twosamplemr

R package for performing 2-sample MR using MR-Base database

vapor icon vapor

Tool for the validation of structural genomic rearrangements using long read sequence data

vcf-validator icon vcf-validator

Validation suite for Variant Call Format (VCF) files, implemented using C++11

vcfanno icon vcfanno

annotate a VCF with other VCFs/BEDs/tabixed files

vcflib icon vcflib

a simple C++ library for parsing and manipulating VCF files, + many command-line utilities

vcftools icon vcftools

A set of tools written in Perl and C++ for working with VCF files, such as those generated by the 1000 Genomes Project.

vep_plugins icon vep_plugins

Plugins for the Ensembl Variant Effect Predictor (VEP)

vt icon vt

A tool set for short variant discovery in genetic sequence data.

wasp icon wasp

WASP: allele-specific pipeline for unbiased read mapping and molecular QTL discovery

weggis icon weggis

Bioinformatics for Adaptation Genomics - Winter School 2016

wham icon wham

Structural variant detection and association testing

workflowr icon workflowr

Organize your project into a research website

ximmer icon ximmer

Ximmer is a tool for simulation of deletions in targeted genomic sequencing data

xsim.jl icon xsim.jl

simulate sequence data and complicated pedigree structures

yeast-epistasis-paper icon yeast-epistasis-paper

Code for Forsberg et al. "Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast"

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