NEUMA (Normalization by Expected Uniquely Mappable Area) is based on effective length normalization using uniquely mappable areas of gene and mRNA isoform models. Using the known transcriptome sequence model such as RefSeq, NEUMA pre-computes the numbers of all possible gene-wise and isoform-wise informative reads: the former being sequences mapped to all mRNA isoforms of a single gene exclusively and the latter uniquely mapped to a single mRNA isoform.
Korean Bioinformation Center (KOBIC), KRIBB, South Korea.
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Nucleic Acids Res. 2011 Jan;39(2):e9. doi: 10.1093/nar/gkq1015. Epub 2010 Nov 8.
Accurate quantification of transcriptome from RNA-Seq data by effective length normalization.
Soohyun Lee, Chae Hwa Seo, Byungho Lim, Jin Ok Yang, Jeongsu Oh, Minjin Kim, Sooncheol Lee, Byungwook Lee, Changwon Kang, Sanghyuk Lee