README.md

In dming1024/TCGApackages0226: Analysis of TCGA data

TCGApackages0226

The package is developed for TCGA Data Analysis, currently including the 7 following steps:

• getdata

  automatically download the corresponding RNAseq count files(zipped)

• unzipData

  unzip those downloaded zipped files

• generateMatrix

  merge those seperate files into a gene expression matrix, whose rownames are genes and colnames are samples. Generally, this step would cost much resource to compelete

• metaAnnotation

  to get the group information of samples, suchs as tumor, or paired normal

• corSample

  calculate the correlation and PCA of samples based on the expression of all genes

• DEGsTCGA

  apply DESeq2 to calculate the different expression genes(DEGs) between groups

• DEGsVisualization

  according to the threshold of pvalue and log2foldchange, to visualize the DEGs by Heatmap, Volcano, etc.

• DEGsGeneSymbol

  transfrom the ENSEMBLE ID to Gene Symbol

• tcgaEnrichment

  carry out the enrichment analysis, including GO and KEGG. Meanwhile, visualization of those results by dot and barplot

• tcgaClinic

  combined with the clinic data of samples, to do survival analysis. Further, carry out kaplan-meier analysis on all DEGs

Those are all steps included in this package. It's strongly recommended that you'd better do those steps one by one as previously mentioned. If you have questions, please connect me or follow me by wechat(微信公众号：[医学统计园])

dming1024/TCGApackages0226 documentation built on April 9, 2021, 7:48 a.m.