1,721,368 research outputs found
Analysis of transcription factor CREM dependent gene expression during mouse spermatogenesis
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Abschlussbericht des BreastSys-Verbunds ; Laufzeit des Vorhabens: 01.02.2009 - 31.01.2013
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Abschlussbericht des BreastSys-Verbunds ; Laufzeit des Vorhabens: 01.02.2009 - 31.01.2013
No full textAnalysis of transcription factor CREM dependent gene expression during mouse spermatogenesis
No full text
pwOmics: an R package for pathway-based integration of time-series omics data using public database knowledge
No full textCharacterization of biological processes is progressively enabled with the increased generation of omics data on different signaling levels. Here we present a straightforward approach for the integrative analysis of data from different high-throughput technologies based on pathway and interaction models from public databases. pwOmics performs pathway-based level-specific data comparison of coupled human proteomic and genomic/transcriptomic datasets based on their log fold changes. Separate downstream and upstream analyses results on the functional levels of pathways, transcription factors and genes/transcripts are performed in the cross-platform consensus analysis. These provide a basis for the combined interpretation of regulatory effects over time. Via network reconstruction and inference methods (Steiner tree, dynamic Bayesian network inference) consensus graphical networks can be generated for further analyses and visualization
GOstat: find statistically overrepresented Gene Ontologies within a group of genes
No full textModern experimental techniques, as for example DNA microarrays, as a result usually produce a long list of genes, which are potentially interesting in the analyzed process. In order to gain biological understanding from this type of data, it is necessary to analyze the functional annotations of all genes in this list. The Gene-Ontology (GO) database provides a useful tool to annotate and analyze the functions of a large number of genes. Here, we introduce a tool that utilizes this information to obtain an understanding of which annotations are typical for the analyzed list of genes. This program automatically obtains the GO annotations from a database and generates statistics of which annotations are overrepresented in the analyzed list of genes. This results in a list of GO terms sorted by their specificity
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