Novel features and enhancements in BioBin, a tool for the biologically inspired binning and association analysis of rare variants

Anna O. Basile, Marta Byrska-Bishop, John Wallace, Alexander T. Frase, Marylyn D. Ritchie

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Motivation BioBin is an automated bioinformatics tool for the multi-level biological binning of sequence variants. Herein, we present a significant update to BioBin which expands the software to facilitate a comprehensive rare variant analysis and incorporates novel features and analysis enhancements. Results In BioBin 2.3, we extend our software tool by implementing statistical association testing, updating the binning algorithm, as well as incorporating novel analysis features providing for a robust, highly customizable, and unified rare variant analysis tool.

Original languageEnglish (US)
Pages (from-to)527-529
Number of pages3
JournalBioinformatics
Volume34
Issue number3
DOIs
StatePublished - Feb 1 2018

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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