Towards a Consistent, Quantitative Evaluation of MicroRNA Evolution

Abstract The miRBase currently reports more than 25,000 microRNAs in several hundred genomes that belong to more than 1000 families of homologous sequences. Quantitative investigations of miRNA gene evolution requires the construction of data sets that are consistent in their coverage and include those genomes that are of interest in a given study. Given the size and structure of data, this can be achieved only with the help of a fully automatic pipeline that improves the available seed alignments, extends the set of available sequences by homology search, and reliably identifies true positive homology search results. Here we describe the current progress towards such a system, emphasizing the task of improving and completing the initial seed alignment.

• Publication year

  2017

• Venue

  Journal of Integrative Bioinformatics

• Publication date

  2017-03-01

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1515/jib-2016-0013PMID 28637930PMCID 6042801
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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