Name
Abstract | ||
|---|---|---|
The availability of the valuable TCGA data in BED format reduces the time spent in taking advantage of them: it is possible to efficiently and effectively deal with huge amounts of cancer genomic data integratively, and to search, retrieve and extend them with additional information. The BED format facilitates the investigators allowing several knowledge discovery analyses on all tumor types in TCGA with the final aim of understanding pathological mechanisms and aiding cancer treatments. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-016-1419-5 | BMC Bioinformatics |
Keywords | Field | DocType |
Cancer,Data extraction,Data integration,Knowledge extraction | Data science,Data integration,Genome,Computer science,Genomics,Atlas (anatomy),Knowledge extraction,DNA sequencing,Data extraction,Bioinformatics,Cancer | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
8 | 0.56 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Cumbo | 1 | 15 | 4.12 |
| Giulia Fiscon | 2 | 56 | 6.59 |
| Stefano Ceri | 3 | 6772 | 1657.41 |
| Marco Masseroli | 4 | 402 | 48.55 |
| Emanuel Weitschek | 5 | 84 | 10.63 |