IWTomics: testing high-resolution sequence-based "Omics" data at multiple locations and scales

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

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

4 Citazioni (Scopus)

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.
Lingua originaleEnglish
pagine (da-a)2289-2291
Numero di pagine3
RivistaBioinformatics
Volume34
DOI
Stato di pubblicazionePubblicato - 2018

Keywords

  • Bioconductor
  • Inference
  • Interval-Wise Testing
  • Omics

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