Pinned Repositories
ATAC-pipe
Analysis pipeline for ATAC-seq Data
atac-seq-pipeline
ENCODE ATAC-seq pipeline
ATACseq
Analysis Workflow for Assay for Transposase-Accessible Chromatin using sequencing (ATAC-Seq)
biobabble
公众号:biobabble
bioinformatics123
In-depth-NGS-Data-Analysis-Course
Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.
Juicebox
Visualization and analysis software for Hi-C data -
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
my-R
a small collection for my R scripts
NGS-pipeline
By study this, it won't be costly or time-consuming to customize a NGS data analysis pipeline
weipingofficial's Repositories
weipingofficial/ATAC-pipe
Analysis pipeline for ATAC-seq Data
weipingofficial/In-depth-NGS-Data-Analysis-Course
Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.
weipingofficial/atac-seq-pipeline
ENCODE ATAC-seq pipeline
weipingofficial/ATACseq
Analysis Workflow for Assay for Transposase-Accessible Chromatin using sequencing (ATAC-Seq)
weipingofficial/biobabble
公众号:biobabble
weipingofficial/bioinformatics123
weipingofficial/Juicebox
Visualization and analysis software for Hi-C data -
weipingofficial/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
weipingofficial/my-R
a small collection for my R scripts
weipingofficial/NGS-pipeline
By study this, it won't be costly or time-consuming to customize a NGS data analysis pipeline
weipingofficial/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.
weipingofficial/seqFlow
My pipeline and code collections for NGS data analysis, such as RNA-seq, ChIP-seq, MNase-seq, Hi-C, Trac-looping and etc, mainly keep the analysis within Python.
weipingofficial/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"