Links tagged with 'eukaryotic cells'

Found 25 links

Displaying 15 links

BPROMPTTool Content

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Bayesian PRediction Of Membrane Protein Topology (BPROMPT) uses a Bayesian Belief Network to combine the results of other membrane protein prediction methods for a protein sequence.

links directory index: 37
TitlePublication YearGoogle Scholar Citation Count
BPROMPT: A consensus server for membrane protein prediction200337

ESLpredTool Content

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ESLpred is a tool for predicting subcellular localization of proteins using support vector machines. The predictions are based on dipeptide and amino acid composition, and physico-chemical properties.

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IBM Bioinformatics and Pattern Discovery GroupTool Content

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Extensive server possessing a wide range of tools for pattern discovery in DNA and protein sequences as well as in text. Tools for multiple sequence alignment, gene discovery, protein annotation, and other applications also exist on this server. A detailed help page is provided for all tools.

InParanoidDatabase Content

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The InParanoid project gathers proteomes of completely sequenced eukaryotic species plus Escherichia coli and calculates pairwise ortholog relationships among them. To facilitate data exchange and comparisons among ortholog databases, we have developed and are making available two XML schemas: SeqXML for the input sequences and OrthoXML for the output ortholog clusters.

JASPARTool Content

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JASPAR is a non-redundant, curated collection of transcription factor binding profiles. Each profile is generated from published, experimentally defined eukaryotic transcription factor binding sites.

LOCtargetTool Content

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LOCtarget is a tool for predicting, and a database of pre-computed predictions for, sub-cellular localization of eukaryotic and prokaryotic proteins. Several methods are employed to make the predictions, including text analysis of SWISS-PROT keywords, nuclear localization signals, and the use of neural networks.

MADAPTool Content

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MADAP is a clustering tool for the interpretation annotation data mapped onto complete or partial genome sequences. Initially developed for determining transcription start sites (TSS) by defining 5\' and 3\'ends of mRNA, MADAP also has utility in clustering other annotation data types (ChIP-chip data, for example).

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