Name
Title | ||
|---|---|---|
IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales. |
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. 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/). Contact: fxc11@psu.edu or simone.vantini@polimi.it Supplementary information: Supplementary data are available at Bioinformatics online. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1093/bioinformatics/bty090 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Computer science,Omics | Journal | 34 |
Issue | ISSN | Citations |
13 | 1367-4803 | 1 |
PageRank | References | Authors |
0.39 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marzia A Cremona | 1 | 6 | 2.31 |
| Alessia Pini | 2 | 6 | 2.55 |
| Fabio Cumbo | 3 | 15 | 4.12 |
| Kateryna D Makova | 4 | 32 | 3.38 |
| Francesca Chiaromonte | 5 | 5 | 3.03 |
| Simone Vantini | 6 | 60 | 9.26 |