Nucleic Acids Research · 2013 · 386 citations · 6 references
Life SciencesBioinformaticsMolecular BiologyGene ExpressionGenomicsTranscriptomicsCell-type-specific TranscriptomicsDifferential Expression AnalysisDifferential Gene Expression AnalysisFunctional GenomicsGene Expression ProfilingRna Sequencing AnalysisDifferential Gene ExpressionDifferential Transcript ExpressionGene Expression AtlasesMicroarray AnalysisMicroarray-based TranscriptomicsRna SequencingRna Sequencing (Rna-seq)Splice Variant Annotation
Expression Atlas (http://www.ebi.ac.uk/gxa) is a value-added database providing information about gene, protein and splice variant expression in different cell types, organism parts, developmental stages, diseases and other biological and experimental conditions. The database consists of selected high-quality microarray and RNA-sequencing experiments from ArrayExpress that have been manually curated, annotated with Experimental Factor Ontology terms and processed using standardized microarray and RNA-sequencing analysis methods. The new version of Expression Atlas introduces the concept of 'baseline' expression, i.e. gene and splice variant abundance levels in healthy or untreated conditions, such as tissues or cell types. Differential gene expression data benefit from an in-depth curation of experimental intent, resulting in biologically meaningful 'contrasts', i.e. instances of differential pairwise comparisons between two sets of biological replicates. Other novel aspects of Expression Atlas are its strict quality control of raw experimental data, up-to-date RNA-sequencing analysis methods, expression data at the level of gene sets, as well as genes and a more powerful search interface designed to maximize the biological value provided to the user.
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NCBI GEO: archive for functional genomics data sets--10 years on
Tanya Barrett, D. B. Troup, S. E. Wilhite et al. · Nucleic Acids Research · 2010 · 1.1K citations · Full text
Modeling sample variables with an Experimental Factor Ontology
James Malone, Ele Holloway, Tomasz Adamusiak et al. · Bioinformatics · 2010 · 634 citations · Full text