about
Improving miRNA-mRNA interaction predictionsSelection of human tissue-specific elementary flux modes using gene expression data.Integrating gene and protein expression data with genome-scale metabolic networks to infer functional pathwaysAdvances in network-based metabolic pathway analysis and gene expression data integration.GARBAN II: an integrative framework for extracting biological information from proteomic and genomic data.GARBAN: genomic analysis and rapid biological annotation of cDNA microarray and proteomic data.Integrative oncogenomic analysis of microarray data in hematologic malignancies.Development of a novel splice array platform and its application in the identification of alternative splice variants in lung cancer.Segmentation of genomic and transcriptomic microarrays data reveals major correlation between DNA copy number aberrations and gene-loci expression.Do elementary flux modes combine linearly at the "atomic" level?: integrating tracer-based metabolomics data and elementary flux modes.Genetic and epigenetic modifications of Sox2 contribute to the invasive phenotype of malignant gliomasQuantification of miRNA-mRNA interactionsIntegrating tracer-based metabolomics data and metabolic fluxes in a linear fashion via Elementary Carbon Modes.Joint analysis of miRNA and mRNA expression data.In-silico prediction of key metabolic differences between two non-small cell lung cancer subtypesEventPointer: an effective identification of alternative splicing events using junction arrays.Combined clinical and genomic signatures for the prognosis of early stage non-small cell lung cancer based on gene copy number alterationsGetting DNA copy numbers without control samples.SPACE: an algorithm to predict and quantify alternatively spliced isoforms using microarrays.Genome-wide proximal promoter analysis and interpretation.FactorY, a bioinformatic resource for genome-wide promoter analysis.Correlation between gene expression and GO semantic similarity.Identification of alternative splicing events regulated by the oncogenic factor SRSF1 in lung cancer.BCR-ABL1-induced expression of HSPA8 promotes cell survival in chronic myeloid leukaemia.ACNE: a summarization method to estimate allele-specific copy numbers for Affymetrix SNP arrays.CalMaTe: a method and software to improve allele-specific copy number of SNP arrays for downstream segmentation.Oncogenic activity of SOX1 in glioblastomaA large-scale analysis of alternative splicing reveals a key role of QKI in lung cancer.Computing the shortest elementary flux modes in genome-scale metabolic networks.In-silico gene essentiality analysis of polyamine biosynthesis reveals APRT as a potential target in cancer.Upstream analysis of alternative splicing: a review of computational approaches to predict context-dependent splicing factors.The aberrant splicing of BAF45d links splicing regulation and transcription in glioblastoma.Comparison of RNA-seq and microarray platforms for splice event detection using a cross-platform algorithmTranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancerIdentification of a gene-pathway associated with non-alcoholic steatohepatitisIntegration of CLIP experiments of RNA-binding proteins: a novel approach to predict context-dependent splicing factors from transcriptomic data
P50
Q28651637-5A9E1448-D47A-4511-9FAC-9E0808A0033DQ30642199-1D46318A-B56D-4BF6-8E96-E022D9ECD44FQ30710200-B00D9267-C49B-4339-B7FB-DCD9B6010433Q30777076-8F8392B8-B46B-4796-927C-E8282B92D1DBQ31033367-13ABAF1E-BB0F-421B-A2A8-B4F0FB4F41FEQ33194484-06B0DF12-60C4-4A5C-83F6-F6601B3D2C5AQ33514465-22EC9A5D-A4B5-4684-B857-6713B6E46C1DQ33594999-1E65A60F-A158-4471-AD92-66434F90D6DFQ33736439-69209635-7BF1-4DF1-860E-29F07128CE53Q33887647-71D45A3F-6C3A-4B2E-994E-69559DA1F792Q34070508-03DAFB93-375E-4769-8C56-243CBEE41519Q34163271-ECF140FC-6A04-4220-947C-669AE7B01AE4Q34226005-B1F8605E-72FF-4819-9B88-E81F55015B44Q34301646-68A47A22-589A-4CC2-AF4E-14F02965EAC9Q35219399-0A23CAF5-01A8-4FAE-9B29-0FE389EDDDA8Q36055662-4A955825-6D53-4B12-82AA-CE71EE1D36DAQ36127123-7C9770DB-CF0D-49E1-9F82-054003779ECDQ36440719-23642C82-FA95-4AD5-BF9D-8DBE694A17CDQ38275881-5ECA26DA-A53B-4634-878C-F54DDD0C3103Q38348365-3DB893DA-4FE4-4641-8C80-0BD6C03C4AA4Q38356056-EF8FA836-CF26-4243-B55E-ED7ACA3B6ACCQ38403038-261622C1-2F3B-44FA-BDB8-E8AD64D0DB94Q39039467-2D4A54DF-DCCF-460C-9BD4-0611E0B530C1Q39974408-48C23818-2CD7-4487-AB36-E0BC32ED9E4DQ41762064-51F0A7C6-EBFC-4284-8036-ABAA8F4988EEQ41837426-4A323819-AB9E-45E2-A0E3-7785B35D0E93Q42153591-0BDB490B-87E9-4433-8725-AB362AC4BF7EQ42176799-4122542E-163D-4E0E-A178-7CBDA967911EQ43268971-1F88D734-E661-4019-A91F-68767B49736BQ43290042-943F856F-C550-49F8-8C2E-28135E671910Q47553494-C88D3D13-271A-495A-9D8A-DA850C799EBFQ47837824-3F1FB26E-883C-424C-9F05-5EA4C3B29367Q58698506-224261C8-B038-4538-B004-60350069ECAAQ64080149-50A5DFD1-20B3-418D-B0BE-6FFE5CDAC702Q79715139-92BB9F2E-644F-4AB7-B472-8B924BFFBE69Q93019982-5E054A05-BB9A-40EC-B830-D31AEFB91238
P50
description
bioinformatician
@en
bioinformaticus
@nl
name
Angel Rubio
@ast
Angel Rubio
@en
Angel Rubio
@es
type
label
Angel Rubio
@ast
Angel Rubio
@en
Angel Rubio
@es
prefLabel
Angel Rubio
@ast
Angel Rubio
@en
Angel Rubio
@es
P1053
O-6348-2014
P106
P21
P31
P3829
P496
0000-0002-3274-2450