DragonWu-R

DragonWu-R's Stars

• openbiox/awosome-bioinformatics

  A curated list of resources for learning bioinformatics.

  452294121

• biobakery/MetaPhlAn

  MetaPhlAn is a computational tool for profiling the composition of microbial communities from metagenomic shotgun sequencing data

  Language:Python3072020586

• IOBR/IOBR

  IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.

  Language:R20467453

• biocore/tcga

  Microbial analysis in TCGA data

  Language:Jupyter Notebook89101044

• sjdlabgroup/SAHMI

  Language:R7022513

• icbi-lab/luca

  Single-cell Lung Cancer Atlas with 1.2M cells

  Language:Python5851017

• PierreBSC/Viral-Track

  Language:R5653127

• ncrna/PathogenTrack

  A pipeline to identify pathogenic microorganisms from scRNA-seq raw data.

  Language:Python27178

• ruppinlab/CSI-Microbes-identification

  Code for the identification step for CSI-Microbes

  Language:Python27457

• bm2-lab/MUSIC

  model-based understanding of single-cell CRISPR screening

  Language:R236711

• waldronlab/TCGAutils

  Toolbox package for organizing and working with TCGA data

  Language:R238336

• knightlab-analyses/mycobiome

  Pan-cancer mycobiome atlas

  Language:Jupyter Notebook222315

• FEI38750/MTD

  MTD: a unique pipeline for host and meta-transcriptome joint and integrative analyses of RNA-seq data

  Language:R16288

• marcalva/hcc_sc_2022

  HCC single cell analysis for Alvarez, Benhammou et al.

  Language:R16214

• ruppinlab/tcga-microbiome-prediction

  Predictive models and analysis of cancer prognosis and drug response using primary tumor microbial abundances derived from WGS and RNA-seq sequencing data for 32 TCGA cancers (Poore et al. Nature 2020), including equivalent models using TCGA RNA-seq gene expression and combined microbial abundance and gene expression for comparison.

  Language:Python14109

• linwang6/Longitudinal_glioblastoma_paper

  Language:R8111

• dfhoyosg/p53_fitness_tradeoff

  Repository for the paper: "A model of mutant p53 fitness defines fundamental trade-offs between oncogenic potential and immunogenicity of tumor-driver mutations".

  Language:Python5302

• Chun-Jie-Group/ImmuneTCGA

  Immune cell surface gene list in TCGA

  Language:R2200

• gbouras13/WGS_TCGA_Kraken_Pipeline

  Pipeline to Extract Contaminant Reads from TCGA WGS Datasets

  Language:Python210

• jessicascarborough/cissig

  The public repository including all code to recreate the analysis and figures from, "Exploiting convergent evolution to derive a pan-cancer cisplatin sensitivity gene expression signature."

  Language:HTML2201

• JianGuoZhou3/sports1.1

  Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs

  Language:Perl2000

• linwang6/awesome-bioinformatics-benchmarks

  A curated list of bioinformatics bench-marking papers and resources.

  21

• lz711/Microbiome

  Colorectal cancer microbiome

  Language:Python2

• sridhar0605/training-collection

  Collection of bioinformatics training materials

  2100

• xaitorx/Analysis_JUP_TCGA_CCLE

  Analisis of JUP mRNA levels in breast cancer patient datasets (TCGA) and breast cancer cell lines (CCLE)

  Language:R2

• askol/DiffExpr_TCGA

  Sex Differential Expression Analysis of TCGA datasets

  Language:R1200

• BenNolann/rsi_analysis

  Calculation of Radiosensitivity Index (RSI) and Genomically-Adjusted Radiotherapy Dose (GARD) with supplementary Differential expression analysis.

  Language:Nextflow1

• Huaichao2018/awesome-single-cell

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

  1000

• JianGuoZhou3/awesome-single-cell

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

  1000

• LML1qa2ws/TME_Microbiota

  1100