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Hao's Projects

awesome icon awesome

Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.

bam2x icon bam2x

extract information from bam (sequence alignment) files and generate tables for further analysis.

bayesboost icon bayesboost

Bayesian Optimization using xgboost and sklearn API

bcbb icon bcbb

Incubator for useful bioinformatics code, primarily in Python and R

bcbio-nextgen icon bcbio-nextgen

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

benchm-ml icon benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

bokeh icon bokeh

Interactive Web Plotting for Python

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

bwa-meth icon bwa-meth

fast and accurate alignment of BS-Seq reads

checkmyindex icon checkmyindex

Search for a set of compatible indexes for your sequencing experiment

cnvkit icon cnvkit

Copy number variant detection from targeted DNA sequencing

combat.py icon combat.py

python / numpy / pandas / patsy version of ComBat for removing batch effects.

complexheatmap icon complexheatmap

make complex heatmaps as well as self define annotation graphics

ctcnv icon ctcnv

A new CNV calling method for DNA-seq data

cyrest icon cyrest

RESTful API Module for Cytoscape 3.2.1+

cyvcf icon cyvcf

A fast Python library for VCF files leveraging Cython for speed.

cyvcf2 icon cyvcf2

cython + htslib == fast VCF parsing

deepvariant icon deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

enrichr icon enrichr

A hacky little interface to call the Enrichr functional enrichment tool from R.

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