生信行业有很多大牛,他们把某个方向分析整理成了一个个workflow(流程),有了流程,我们学习生信就更加有整体性。
生信初学者常常犯的一个毛病,就是很多概念和方法,拆开知道怎么回事,但是缺乏把这些概念和方法串联成一个流程的能力。所以本文将整理一些网络上的优质workflow来方便大家的学习。
如果你遇到不错的流程,欢迎在留言区留言,或者邮件我:
郑宝童
btzheng11165@163.com
一、Bioconductor系列workflow(x22)
Package |
Maintainer |
Title |
Rank |
annotation |
Bioconductor Package Maintainer |
Genomic Annotation Resources |
5 |
variants |
Bioconductor Package Maintainer |
Annotating Genomic Variants |
11 |
Package |
Maintainer |
Title |
Rank |
arrays |
Bioconductor Package Maintainer |
Using Bioconductor for Microarray Analysis |
10 |
BiocMetaWorkflow |
Mike Smith |
BioC Workflow about publishing a Bioc Workflow |
22 |
liftOver |
Bioconductor Package Maintainer |
Changing genomic coordinate systems with rtracklayer::liftOver |
7 |
sequencing |
Martin Morgan |
Introduction to Bioconductor for Sequence Data |
8 |
Package |
Maintainer |
Title |
Rank |
chipseqDB |
Aaron Lun |
From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq data |
16 |
generegulation |
Bioconductor Package Maintainer |
Finding Candidate Binding Sites for Known Transcription Factors via Sequence Matching |
15 |
methylationArrayAnalysis |
Jovana Maksimovic |
A cross-package Bioconductor workflow for analysing methylation array data. |
6 |
Package |
Maintainer |
Title |
Rank |
EGSEA123 |
Matthew Ritchie |
Easy and efficient ensemble gene set testing with EGSEA |
16 |
ExpressionNormalizationWorkflow |
Karthikeyan Murugesan |
Gene Expression Normalization Workflow |
14 |
maEndToEnd |
Bernd Klaus |
An end to end workflow for differential gene expression using Affymetrix microarrays |
21 |
RNAseq123 |
Matthew Ritchie |
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR |
2 |
rnaseqDTU |
Michael Love |
RNA-seq workflow for differential transcript usage following Salmon quantification |
22 |
rnaseqGene |
Michael Love |
RNA-seq workflow: gene-level exploratory analysis and differential expression |
1 |
RnaSeqGeneEdgeRQL |
Yunshun Chen |
Gene-level RNA-seq differential expression and pathway analysis using Rsubread and the edgeR quasi-likelihood pipeline |
12 |
Package |
Maintainer |
Title |
Rank |
eQTL |
Vincent Carey |
Cloud-enabled cis-eQTL searches with Bioconductor GGtools 5.x |
19 |
Package |
Maintainer |
Title |
Rank |
highthroughputassays |
Bioconductor Package Maintainer |
Using Bioconductor with High Throughput Assays |
18 |
proteomics |
Laurent Gatto |
Mass spectrometry and proteomics data analysis |
9 |
Package |
Maintainer |
Title |
Rank |
TCGAWorkflow |
Tiago Chedraoui Silva |
TCGA Workflow Analyze cancer genomics and epigenomics data using Bioconductor packages |
4 |
Package |
Maintainer |
Title |
Rank |
cytofWorkflow |
Malgorzata Nowicka |
CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets |
13 |
simpleSingleCell |
Aaron Lun |
A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor |
3 |
二、待输入
1.NGS data analysis with R / Bioconductor: ChIP-Seq workflow
2.NGS sequence analysis with R / Bioconductor: RNA-Seq workflow