IWTomics: Testing high-resolution sequence-based 'Omics' data at multiple locations and scales

Marzia A. Cremona, Alessia Pini, Fabio Cumbo, Kateryna D. Makova, Francesca Chiaromonte, Simone Vantini

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

With increased generation of high-resolution sequence-based ?Omics? data, detecting statistically significant effects at different genomic locations and scales has become key to addressing several scientific questions. IWTomics is an R/Bioconductor package (integrated in Galaxy) that, exploiting sophisticated Functional Data Analysis techniques (i.e. statistical techniques that deal with the analysis of curves), allows users to pre-process, visualize and test these data at multiple locations and scales. The package provides a friendly, flexible and complete workflow that can be employed in many genomic and epigenomic applications.

Original languageEnglish (US)
Pages (from-to)2289-2291
Number of pages3
JournalBioinformatics
Volume34
Issue number13
DOIs
StatePublished - Jul 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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