| Literature DB >> 29474526 |
Marzia A Cremona1, Alessia Pini2, Fabio Cumbo3,4, Kateryna D Makova5,6, Francesca Chiaromonte1,5,7, Simone Vantini2.
Abstract
Summary: 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. Availability and implementation: IWTomics is freely available at the Bioconductor website (http://bioconductor.org/packages/IWTomics) and on the main Galaxy instance (https://usegalaxy.org/). Supplementary information: Supplementary data are available at Bioinformatics online.Mesh:
Year: 2018 PMID: 29474526 PMCID: PMC6022652 DOI: 10.1093/bioinformatics/bty090
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937