wangjuan001

wangjuan001's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++185k7.6k39.7k74.2k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python76.9k2.7k7.3k45.8k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.4k2.1k11.1k25.3k

• coursera-dl/coursera-dl

  Script for downloading Coursera.org videos and naming them.

  Language:Python9.3k3276442.2k

• nlintz/TensorFlow-Tutorials

  Simple tutorials using Google's TensorFlow Framework

  Language:Jupyter Notebook6k355371.5k

• ma6174/vim

  vim配置文件和插件(不再维护)

  Language:Vim script4.3k45202.9k

• seandavi/awesome-single-cell

  Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

  3.1k24823963

• satijalab/seurat

  R toolkit for single cell genomics

  Language:R2.2k737.9k902

• wuzhouhui/awk

  The AWK Programming Language (AWK 程序设计语言, awkbook) 中文翻译, LaTeX 排版

  Language:TeX1.4k6218274

• CodementorIO/Python-Learning-Resources

  1.1k1760397

• hemberg-lab/scRNA.seq.course

  Analysis of single cell RNA-seq data course

  Language:TeX6706261360

• mdozmorov/HiC_tools

  A collection of tools for Hi-C data analysis

  540356121

• BioinformaticsFMRP/TCGAbiolinks

  TCGAbiolinks

  Language:R28925612110

• kundajelab/atac_dnase_pipelines

  ATAC-seq and DNase-seq processing pipeline

  Language:Python1604813581

• virajbdeshpande/AmpliconArchitect

  AmpliconArchitect (AA) is a tool to identify one or more connected genomic regions which have simultaneous copy number amplification and elucidates the architecture of the amplicon. In the current version, AA takes as input next generation sequencing reads (paired-end Illumina reads) mapped to the hg19/GRCh37 reference sequence and one or more regions of interest. Please "watch" this repository for improvements in runtime, accuracy and annotations for GRCh38 human reference genome coming up soon.

  Language:Python1311110842

• GreenleafLab/NucleoATAC

  nucleosome calling using ATAC-seq

  Language:Python105199131

• YosefLab/scone

  Language:R533610112

• NYU-BFX/hic-bench

  A set of pipelines for Hi-C and ChIP-Seq analysis.

  Language:HTML43151620

• GreenleafLab/NucleoATACR

  R package for reading in & working with NucleoATAC outputs

  Language:R2510212

• ParkerLab/atactk

  A toolkit for working with ATAC-seq data.

  Language:Python24754

• blikzen/atac-seq

  ENCODE ATAC-seq pipeline with infographics

  Language:Shell630

• zhililab/Python-Learning-Resources

  This is a set of useful resources for python learning.

  3201