Chapter 14: Cancer genome analysis
| Autor: | Alfonso Valencia, Miguel Vazquez, Victor De La Torre |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Process (engineering)
QH301-705.5 media_common.quotation_subject Genomics Biology Bioinformatics Field (computer science) Education 03 medical and health sciences Cellular and Molecular Neuroscience Presentation 0302 clinical medicine Databases Genetic Molecular Cell Biology Genetics Humans Biology (General) Molecular Biology Ecology Evolution Behavior and Systematics 030304 developmental biology media_common Comparative genomics 0303 health sciences Translational bioinformatics Ecology Genome Human Computational Biology Software Engineering Data science Workflow ComputingMethodologies_PATTERNRECOGNITION Computational Theory and Mathematics Oncology 030220 oncology & carcinogenesis Modeling and Simulation Computer Science Medicine Personal genomics Genes Neoplasm |
| Zdroj: | PLoS Computational Biology, Vol 8, Iss 12, p e1002824 (2012) PLoS Computational Biology PLoS Computational Biology; Vol 8 |
| ISSN: | 1553-7358 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|