ashencxt

ashencxt's Stars

• BioinformaticsFMRP/TCGAbiolinks

  TCGAbiolinks

  Language:R289110

• jmzeng1314/myTCGA

  It's just a personal record for studying how to analysis TCGA data(expression+mutation+methylation+CNV)

  Language:R2017

• jmzeng1314/my-perl

  some short but practical PERL script in NGS data analysis

  Language:Perl177

• jmzeng1314/RTCGA

  Download, integration and visualizations of the variety & volume of TCGA data.

  Language:HTML812

• jmzeng1314/bioinformatics123

  14268

• jmzeng1314/biotrainee

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• jmzeng1314/my-R

  a small collection for my R scripts

  Language:HTML164146

• jmzeng1314/TCGA_AML

  Language:R76

• jmzeng1314/gtex_BRCA

  Language:R1613

• jmzeng1314/tcga_example

  Language:HTML274229

• jmzeng1314/humanid

  my first R package just for testing

  Language:R4332

• jmzeng1314/rnaseq_tutorial

  Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

  Language:R1614

• jmzeng1314/TCGA_BRCA

  Language:R4319

• jmzeng1314/scRNA_smart_seq2

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• jmzeng1314/scRNA_10X

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• jmzeng1314/METABRIC

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• jmzeng1314/my_WGCNA

  Language:R258186

• jmzeng1314/GEO

  Language:R768535

• dgrun/FateID

  R package for the inference of cell fate bias from single-cell RNA-seq data.

  Language:R208

• dgrun/StemID

  Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data.

  Language:R4019

• dgrun/RaceID3_StemID2

  Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data. Please download the R package from the RaceID3_StemID2_package repository, which contains the current version as an R package. This repository will not be updated anymore.

  Language:R156

• jzsh2000/seurat-shiny

  Language:R195

• griffithlab/rnaseq_tutorial

  Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

  Language:R1.3k619

• Xiang-HF-Zhang/Dichotomous-of-innate-immune-landscape

  Dichotomous of innate immune landscape

  Language:R174

• Illumina/Polaris

  Data and information about the Polaris study

  528

• hadley/mastering-shiny

  Mastering Shiny: a book

  Language:R1.3k566

• crazyhottommy/pyflow-ChIPseq

  a snakemake pipeline to process ChIP-seq files from GEO or in-house

  Language:Python10139

• broadinstitute/infercnv

  Inferring CNV from Single-Cell RNA-Seq

  Language:R556163

• giannimonaco/ABIS

  Language:R5716

• theislab/single-cell-tutorial

  Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

  Language:Jupyter Notebook1.4k452