zhumengyan

zhumengyan

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Location:Nanjing, China

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zhumengyan's repositories

r4ds

R for data science

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SEACells

SEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data

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AITL2023

code for our publication

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AnnotationDatabase

annotation database for human genetics, genomics and epigenomics

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awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

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bioinfo_tasks

储存一些平时写的小脚本及帮助文件

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Bioinformatics-Resources

A curated list of resources for learning bioinformatics.

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cNMF

Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data

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CNV-pepline

list softwares and papers about copy number variation

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DataWarehouse

DataSource

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gggenes

➡️️➡️️⬅️️➡️️ Draw gene arrow maps in ggplot2

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Hannigan_CRCVirome_mBio_2018

Investigating the gut virus communities associated with colon cancer.

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HCC2023

code for HCC analysis

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HoneyBADGER

HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data

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ImmuneResistance

This resource provides the code developed in the study of Jerby-Arnon _et al. "Single-cell RNA-seq of melanoma ecosystems reveals sources of T cell exclusion linked to immunotherapy clinical outcomes".

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interesting_papers

interesting papers

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msigdf

Molecular Signatures Database (MSigDB) in a data frame

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myblog

my blog using rblogdown

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nanopore_related

nanopore sequencing

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pySCENIC

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

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R_plot

ggplot2图形绘制学习模仿

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scFEA

single cell Flux Estimation Analysis (scFEA)

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scrat

Sing Cell R Analysis Toolkit

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scRNA.seq.course

Analysis of single cell RNA-seq data course

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SingleR

SingleR: Single-cell RNA-seq cell types Recognition

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TCAG-WGS-CNV-workflow

Scripts involved in our workflow for detecting CNVs from WGS data using read depth-based methods

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