The gene expression landscape of disease genes. [PDF]
Genome BiolAbstract Fine-mapping and gene-prioritisation techniques applied to the latest Genome-Wide Association Study (GWAS) results have prioritised hundreds of genes as causally associated with disease. Here we leverage these recently compiled lists of high-confidence causal genes to interrogate where in the body disease ...
García-González J +4 more
europepmc +3 more sources
RGmatch: matching genomic regions to proximal genes in omics data integration
BMC Bioinformatics, 2016 Background The integrative analysis of multiple genomics data often requires that genome coordinates-based signals have to be associated with proximal genes.
Pedro Furió-Tarí +2 more
doaj +1 more source
Comparative Enumeration Gene Expression [PDF]
, 2008 This paper is about differential gene expression measured by transcript counting methods such as SAGE or MPSS. It introduces two significance tests for detection of differential expressed tags: frequentist and Bayesian. Under the frequentist view, it is
Carlos A. D. E. B. Pereira +1 more
core +2 more sources
GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses
Nucleic Acids Res., 2017 Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions.
Zefang Tang +5 more
semanticscholar +1 more source
Generalized gene co-expression analysis via subspace clustering using low-rank representation [PDF]
, 2019 BACKGROUND: Gene Co-expression Network Analysis (GCNA) helps identify gene modules with potential biological functions and has become a popular method in bioinformatics and biomedical research.
Huang, Kun, Wang, Tongxin, Zhang, Jie
core +1 more source
UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses
Neoplasia, 2017 Genomics data from The Cancer Genome Atlas (TCGA) project has led to the comprehensive molecular characterization of multiple cancer types. The large sample numbers in TCGA offer an excellent opportunity to address questions associated with tumo ...
D. Chandrashekar +6 more
semanticscholar +1 more source
Spatial reconstruction of single-cell gene expression
Nature Biotechnology, 2015 Spatial localization is a key determinant of cellular fate and behavior, but methods for spatially resolved, transcriptome-wide gene expression profiling across complex tissues are lacking.
R. Satija +4 more
semanticscholar +1 more source
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
Bioinform., 2009 Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications.
M. Robinson, Davis J. McCarthy, G. Smyth
semanticscholar +1 more source
Hybridization and gene expression: Beyond differentially expressed genes [PDF]
Molecular EcologyAbstractGene expression has a key role in reproductive isolation, and studies of hybrid gene expression have identified mechanisms causing hybrid sterility. Here, we review the evidence for altered gene expression following hybridization and outline the mechanisms shown to contribute to altered gene expression in hybrids. Transgressive gene expression,
Runemark, Anna +2 more
openaire +2 more sources
GC content of vertebrate exome landscapes reveal areas of accelerated protein evolution
BMC Evolutionary Biology, 2019 Background Rapid accumulation of vertebrate genome sequences render comparative genomics a powerful approach to study macro-evolutionary events. The assessment of phylogenic relationships between species routinely depends on the analysis of sequence ...
R. Huttener +6 more
doaj +1 more source