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TranscriptomicsGene expression data from 131 human subjects in Detroit, Michigan
Background Complex diseases are often difficult to diagnose, treat and study due to the multi-factorial nature of the underlying etiology. Large data sets are now widely available that can be used to define novel, mechanistically distinct disease subtypes (endotypes) in a completely data-driven mann...
ORGANISM(S): Homo sapiens 
2013-11-12 | E-GEOD-35571 | biostudies-arrayexpress
GenomicsGenentech Colon Cancer Screen
Identifying and understanding changes in cancer genomes is essential for the development of targeted therapeutics. Here we analyse systematically more than 70 pairs of primary human colon tumours by applying next-generation sequencing to characterize their exomes, transcriptomes and copy-number alte...
EGAS00001000288 | EGA
GenomicsGenentech Data Access Committee
Data Access Committee EGAC00001000055
EGAC00001000055 | EGA
TranscriptomicsINTRA_specific hybs: A Burst of Segmental Duplications in the African Great Ape Ancestor
Wilson and King were among the first to recognize that the extent of phenotypic change between humans and great apes was dissonant with the rate of molecular change. Proteins are virtually identical; cytogenetically there are few rearrangements that distinguish ape-human chromosomes; rates of single...
ORGANISM(S): Pan troglodytes 
2010-05-22 | E-GEOD-13885 | biostudies-arrayexpress
GenomicsColon_Illumina_2.5M_Controls - samples
Colon matched tumour samples
EGAD00010000274 | EGA
GenomicsColon_Illumina_2.5M_Cases - samples
Colon tumour samples
EGAD00010000272 | EGA
Genomicsena-DATASET-Genentech-10-08-2012-19:54:35:559-18 - samples
Exome capture sequencing of colon tumor/normal pairs
EGAD00001000216 | EGA
Genomicsena-DATASET-Genentech-10-08-2012-19:45:02:785-17 - samples
RNA sequencing of colon tumor/normal sample pairs
EGAD00001000215 | EGA
Genomicsena-DATASET-Genentech-10-08-2012-19:36:55:498-15 - samples
Whole genome sequencing of colon samples
EGAD00001000214 | EGA
UnknownA prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts.
Not available
S-EPMC12056793 | biostudies-literature
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