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 language | English (US) |
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Pages (from-to) | 2289-2291 |
Number of pages | 3 |
Journal | Bioinformatics |
Volume | 34 |
Issue number | 13 |
DOIs | |
State | Published - Jul 1 2018 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics