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分享 Querying Paper Number from Pubmed to predict when CRISPR could get Nobel Prize
lchanlon 2015-11-19 02:02
Here show how to get number of papers published very years that contain given keywords. Year from 2000 to 2015 # upload RISmed package, this package is designed to query paper information from Pubmed library(RISmed) # write a function to ge ...
个人分类: R/Bioconductor|386 次阅读|没有评论
分享 如何获取所有基因的转录起始位点
lchanlon 2015-6-20 03:20
我们在做人类全基因组分析的时候,经常需要找出基因组中所有基因的转录起始位点( Transcription Start Site, TSS ),利用 R/Bioconductor 很容易做到。 用到一个包 Homo.sapiens ,其中包含了目前已知的所有基因的注释信息,当然还有其他的包也含有所有基因的注释信息。 ...
个人分类: R/Bioconductor|379 次阅读|没有评论
分享 WGCNA: an R package for weighted correlation network analysis
lchanlon 2015-6-20 01:43
Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns among genes across microarray samples. Weighted correlation network analysis (WGCNA) can be ...
个人分类: R/Bioconductor|1000 次阅读|没有评论
分享 Chipseq track analysis and visualization with “chipseq” and “Gviz” package
热度 1 lchanlon 2015-6-20 01:41
# packages ‘Gviz’ and ‘chipseq’ library (Gviz) library (chipseq) # Load aligned chipseq reads sample ‘cstest’ to workspace. data(cstest) #use names function to see samples included in ‘cstest’ #two sample in this dataset—‘ctcf’ and ‘gfp’ ...
个人分类: R/Bioconductor|450 次阅读|没有评论
分享 Principal Component Analysis with R
lchanlon 2015-6-20 01:39
Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less tha ...
个人分类: R/Bioconductor|415 次阅读|没有评论
分享 Different Expression Gene in colon cancer cell lines with R/Bioconductor
热度 1 lchanlon 2015-6-20 01:33
I am working on human colon cancer recently. I want to see different expression gene in colon cancer cells lines. I downloaded GSE46549 dataset from NCBI (gene expression analysis of 6 colon cancer cell lines (HCT116, HT-29, RKO, SW480, LIM1512 and CaCo2), http://www.ncbi.nlm.nih.gov/ge ...
个人分类: R/Bioconductor|1864 次阅读|没有评论
分享 How to plot “+” shape coordinate with R
lchanlon 2015-6-20 01:29
First, we need initiate a new plot with plot function without x-y axis. If you want to define xlim and/or ylim, do this in this initiated plot with parameters xlim and ylim. plot (-2:4, c(-5, -4, 3, 4, 5, 2, 3), axes=FALSE, xlim=c(-6,6), ylim=c(-6, 6), xlab="", ylab="", main ...
个人分类: R/Bioconductor|344 次阅读|没有评论

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