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Article
Open AccessRedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis
The Gene Ontology (GO) Consortium organizes genes into hierarchical categories based on biological process, molecular function and subcellular localization. Tools such as GoMiner can leverage GO to perform ont...
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Article
Open AccessSpliceCenter: A suite of web-based bioinformatic applications for evaluating the impact of alternative splicing on RT-PCR, RNAi, microarray, and peptide-based studies
Over 60% of protein-coding genes in vertebrates express mRNAs that undergo alternative splicing. The resulting collection of transcript isoforms poses significant challenges for contemporary biological assays....
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Article
Open AccessVennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays
Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) database via GoMiner. Directed acyclic graph re...
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Article
Open AccessSpliceMiner: a high-throughput database implementation of the NCBI Evidence Viewer for microarray splice variant analysis
There are many fewer genes in the human genome than there are expressed transcripts. Alternative splicing is the reason. Alternatively spliced transcripts are often specific to tissue type, developmental stage...
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Article
Open AccessHigh-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID)
We previously developed GoMiner, an application that organizes lists of 'interesting' genes (for example, under-and overexpressed genes from a microarray experiment) for biological interpretation in the contex...
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Article
Open AccessMistaken Identifiers: Gene name errors can be introduced inadvertently when using Excel in bioinformatics
When processing microarray data sets, we recently noticed that some gene names were being changed inadvertently to non-gene names.