Universidad de Salamanca
Bioinformática aplicada a estudios del transcriptoma humano: análisis de expresión de genes, isoformas génicas y ncRNAs en muestras sanas y en cáncer
Abstract
[EN] This work is based on in-depth analysis of microarray expression data produced by the company Affymetrix, and improvements that expand biological knowledge. 1a. - Improved method of microarray data analysis by replacing the original annotation provided by Affymetrix annotation for alternative, updated and focused on biological entities, that is linked to genes, transcripts and exons defined in the genomic databases more current. 1b. - Integration of data generated in the previous objective interactive web platform with a browser for exploring genomic single mode and display both the structure of the gene loci as probes to map all Affymetrix microarrays and certain gene expression data. 2. - Development and implementation of a differential expression analysis to identify marker genes in several data sets for cancer samples and robust recognition of microRNAs (miRNAs) in multiple myeloma data. 3. - Design and development of new algorithm allows robust identification of alternative splicing in genes from microarray data obtained exons (Exon 1.0 Affymetrix). Applying the algorithm to a set of samples of cancer. 4. - Development of a global transcriptomic study coexpression of human genes based on microarray data obtained for several series of healthy tissue samples. Identification of sets of genes co-expressed, as well as recognition of tissue specific genes (tissue-specific genes, TSG) and general maintenance genes (house-keeping genes, HKG). Evolutionary study analyzing the two types of genes in different species conservation
Author and committee
dc:creator, dc:contributor.*- Author
-
- Risueño Pérez, Alberto
Subjects
dc:subject × 12Identifiers
dc:identifier.*- Identifier
- hdl:10366/121408
- OAI identifier oai:identifier
- oai:gredos.usal.es:10366/121408