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EZcount: An all-in-one software for microRNA expression quantification from NGS sequencing data.
Geraci, Filippo; Manzini, Giovanni.
Afiliação
  • Geraci F; Institute for Informatics and Telematics, CNR, Pisa, 56124, Italy. Electronic address: filippo.geraci@iit.cnr.it.
  • Manzini G; Institute for Informatics and Telematics, CNR, Pisa, 56124, Italy; Department of Computer Science, University of Pisa, Pisa, 56127, Italy. Electronic address: giovanni.manzini@unipi.it.
Comput Biol Med ; 133: 104352, 2021 06.
Article em En | MEDLINE | ID: mdl-33852974
ABSTRACT
MicroRNAs (miRNAs) are short endogenous molecules of RNA that influence cell regulation by suppressing genes. Their ubiquity throughout all branches of the tree of life has suggested their central role in many cellular functions. Nowadays, several personalized medicine applications rely on miRNAs as biomarkers for diagnoses, prognoses, and prediction of drug response. The increasing ease of sequencing miRNAs contrasts with the difficulty of accurately quantifying their concentration. The use of general purpose aligners is only a partial solution as they have limited possibilities to accurately solve ambiguous mapping due to the short length of these sequences. We developed EZcount, an all-in-one software that, with a single command, performs the entire quantification process from raw fastq files to read counts. Experiments show that EZcount is more sensitive and accurate than methods based on sequence alignment, independently of the library preparation protocol and sequencing machine. The parallel architecture of EZcount makes it fast enough to process a sample in minutes using a standard workstation. EZcount runs on all of the most common operating systems (Linux, Windows and MacOS) and is freely available for download at https//gitlab.com/BioAlgo/miR-pipe. A detailed description of the datasets, the raw experimental results, and all the scripts used for testing are available as supplementary material.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / MicroRNAs Tipo de estudo: Guideline Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / MicroRNAs Tipo de estudo: Guideline Idioma: En Ano de publicação: 2021 Tipo de documento: Article