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  • vebaev
    Senior Res.
    • Oct 2008
    • 112

    way to normalize copy number data for small RNAs/miRNAs?

    Hi all,
    I have searching for a method for normalization if I want to do a diff. expression comparison on 4 datasets from illumina small RNAs(2 controls and 2 samples).
    Is there a way to do a normalization and compare them or just to do a copy number comparison and calculate folds?


    PS
    I have tested several tools for miRNA, but most of them do not provide a way for multiple compareson (maybe only mirTools). In other way what is the obligatory step so the diff. expression of the copy numbers to be accepted in papers?

    Thanks
    ------------
    SMART - bioinfo.uni-plovdiv.bg
  • NicoBxl
    not just another member
    • Aug 2010
    • 264

    #2
    DESeq or edgeR package in R.

    you can compare two groups of samples. It take as input a read count matrix (each line for a miRNA and each column for a sample ).



    Differential expression analysis of sequence count data. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models, quasi-likelihood, and gene set enrichment. Can perform differential analyses of any type of omics data that produces read counts, including RNA-seq, ChIP-seq, ATAC-seq, Bisulfite-seq, SAGE, CAGE, metabolomics, or proteomics spectral counts. RNA-seq analyses can be conducted at the gene or isoform level, and tests can be conducted for differential exon or transcript usage.

    Comment

    • Claudia34
      Junior Member
      • Sep 2010
      • 9

      #3
      You can also have a look on bayseq...

      These packages have methods to normalize counts... But you can also use RPKM... Or use your proper normalizator (total counts per instance)

      Comment

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