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dc.contributor.author Vera Alvarez, Roberto
dc.contributor.author Pongor, Lorinc Sandor
dc.contributor.author Mariño-Ramírez, Leonardo
dc.contributor.author Landsman, David
dc.date.accessioned 2020-09-28T12:26:41Z
dc.date.available 2020-09-28T12:26:41Z
dc.date.issued 2019
dc.identifier 85067177369
dc.identifier.citation journalVolume=35;journalIssueNumber=11;journalTitle=BIOINFORMATICS;pagerange=1960-1962;journalAbbreviatedTitle=BIOINFORMATICS;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/7759
dc.identifier.uri doi:10.1093/bioinformatics/bty896
dc.description.abstract The quantification of RNA sequencing (RNA-seq) abundance using a normalization method that calculates transcripts per million (TPM) is a key step to compare multiple samples from different experiments. TPMCalculator is a one-step software to process RNA-seq alignments in BAM format and reports TPM values, raw read counts and feature lengths for genes, transcripts, exons and introns. The program describes the genomic features through a model generated from the gene transfer format file used during alignments reporting of the TPM values and the raw read counts for each feature. In this paper, we show the correlation for 1256 samples from the TCGA-BRCA project between TPM and FPKM reported by TPMCalculator and RSeQC. We also show the correlation for raw read counts reported by TPMCalculator, HTSeq and featureCounts.TPMCalculator is freely available at https://github.com/ncbi/TPMCalculator. It is implemented in C++14 and supported on Mac OS X, Linux and MS Windows.Supplementary data are available at Bioinformatics online.
dc.format.extent 1960-1962
dc.relation.ispartof urn:issn:1367-4803 1460-2059
dc.title TPMCalculator: one-step software to quantify mRNA abundance of genomic features.
dc.type Journal Article
dc.date.updated 2019-09-15T08:05:49Z
dc.language.rfc3066 en
dc.rights.holder NULL
dc.identifier.mtmt 30757967
dc.identifier.wos 000476567500021
dc.identifier.scopus 85067177369
dc.identifier.pubmed 30379987
dc.contributor.department SE/AOK/K/II. Sz. Gyermekgyógyászati Klinika
dc.contributor.institution II. Sz. Gyermekgyógyászati Klinika
dc.contributor.institution Onkológiai Biomarker Kutatócsoport (Lendület)
dc.contributor.institution Rácz Károly Doktori Iskola
dc.contributor.institution Semmelweis Egyetem


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