Links tagged with 'statistical data interpretation'

Found 23 links

Displaying 15 links

KOBASTool Content

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KEGG Orthology-Based Annotation System (KOBAS) annotates sequences with KEGG Orthology terms and identifies the frequently occurring (or significantly enriched) pathways among the queried sequences compared against a background distribution. 5 pathway databases are used (KEGG Pathway, PID, BioCyc, Reactome, Panther) and 5 human databases (OMIM, KEGG Disease, FunDO, GAD, NHGRI GWAS).

YMF 3.0Tool Content

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YMF 3.0 (Yeast Motif Finder) is a tool that identifies good candidates for transcription factor binding sites by searching for statistically overrepresented motifs. Multiple organisms are supported including human, yeast, worm, plants, and microbes.

g:ProfilerTool Content

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g:Profiler is a set of tools for functional annotation of gene lists that includes: g:GOSt, which retrieves the most significant Gene Ontology (GO) terms, KEGG and REACTOME pathways, and TRANSFAC motifs; g:Convert, for conversion between gene or protein names/IDs; g:Orth, for retrieving orthologs; and, g:Sorter, which searches for similar expression profiles. Functional analysis of SNPs and other DNA polymorphisms is also supported, as is enrichment analysis.

QUMATool Content

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Quantification tool for Methylation Analysis (QUMA) is a web-based bisulfite sequencing analysis tool for CpG methylation analysis. Following user input of PCR target genomic sequence and raw bisulfite sequences, alignment, visualization and quantification of the bisulfite sequence data is rapid. Users can also control the quality of aligned sequences by changing cutoff paramteres.

links directory index: 61
TitlePublication YearGoogle Scholar Citation Count
QUMA: quantification tool for methylation analysis200861

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