Name
Abstract | ||
|---|---|---|
Although there is great promise in the benefits to be obtained by analyzing cancer genomes, numerous challenges hinder different stages of the process, from the problem of sample preparation and the validation of the experimental techniques, to the interpretation of the results. This chapter specifically focuses on the technical issues associated with the bioinformatics analysis of cancer genome data. The main issues addressed are the use of database and software resources, the use of analysis workflows and the presentation of clinically relevant action items. We attempt to aid new developers in the field by describing the different stages of analysis and discussing current approaches, as well as by providing practical advice on how to access and use resources, and how to implement recommendations. Real cases from cancer genome projects are used as examples. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1371/journal.pcbi.1002824 | PLOS COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
computational biology | Genome,Translational bioinformatics,Genome project,Biology,Genomics,Comparative genomics,Genome evolution,Bioinformatics,Personal genomics,Genetics,Workflow | Journal |
Volume | Issue | ISSN |
8 | 12 | 1553-7358 |
Citations | PageRank | References |
1 | 0.36 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel Vazquez | 1 | 228 | 8.54 |
| Victor de la Torre | 2 | 15 | 1.16 |
| Alfonso Valencia | 3 | 2577 | 322.43 |