nordhuang

nordhuang

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OpenGene

nordhuang's repositories

focusCancer

focus the papers of cancer

focusNGS

focus the papers of NGS

statistics-cases-with-R-in-papers

statistics cases with R in papers

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linux

linux common commands

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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AfterQC

Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data

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bamsurgeon

tools for adding mutations to existing .bam files, used for testing mutation callers

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bcbio-nextgen

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

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bcftools

This is the official development repository for BCFtools. To compile, the develop branch of htslib is needed: git clone --branch=develop git://github.com/samtools/htslib.git htslib

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cnvkit

Copy number variant detection from targeted DNA sequencing

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ctdna_papers

papers collections of cancer detected from plasma

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delly

DELLY: Structural variant discovery by integrated paired-end and split-read analysis

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echarts

A powerful, interactive charting and visualization library for browser

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ENAR2016

Introduction to High Throughput Data Analysis Using R / Bioconductor

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fastqPaper

I collect public fastq records in peer papers

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htslib

C library for high-throughput sequencing data formats

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ISLR_labs

<<An Introduction to Statistical Learning with Applications in R>> lab codes

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kubernetes

Production-Grade Container Scheduling and Management

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latex-template-collection

A collection of different LaTeX templates (cv, invoices, timesheets, letters, etc.).

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MutScan

Detect important mutations by scanning FastQ files directly

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pileup2base

Parse samtools pileup file to get how many bases and what kind of bases are called

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samtools

Tools (written in C using htslib) for manipulating next-generation sequencing data

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smlDatas

statistical machine learning Data sets for exercising

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