Links tagged with 'algorithms'

Found 370 links

Displaying 15 links

3D-FunTool Content

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3D-Fun is software for predicting enzyme function from structure rather than sequence. Users input protein coordinates in PDB format to which all known protein structures are compared by 3D structural superposition. Superposition results are displayed through interactive graphics.

links directory index: 6
TitlePublication YearGoogle Scholar Citation Count
3D-Fun: predicting enzyme function from structure20086

ACLAMEDatabase Content

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The ACLAME database is dedicated to the collection, analysis and classification of sequenced mobile genetic elements (MGEs, in particular phages and plasmids). Classifications are available at various levels of organization. At the gene/protein level, families group similar sequences that are expected to share the same function. Families of four or more proteins are manually assigned with a functional annotation using the GeneOntology and the locally developed ontology MeGO dedicated to MGEs. At the genome level, evolutionary cohesive modules group sets of protein families shared among MGEs. At the population level, networks display the reticulate evolutionary relationships among MGEs.

Acromine DisambiguatorTool Content

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Given a biomedical text, Acromine Disambiguator correctly predicts expanded full forms of acronoyms appearing in the text. As acronyms appearing in biomedical texts are often ambiguous, such a disambiguation process is important to ensure the correct interpretation of the text.

This content is being maintained by pthompson.

ALGGENTool Content

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ALLGEN server provides various tools for multiple sequence alignments, clustering, and assembly of ESTs. It also includes search tools for transcription factor binding sites (TFBS), repeated patterns, and transposons.

Align-mTool Content

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Align-m is an accurate and highly versatile multiple alignment program. It consists of 3 modules, S2P, P2P and P2M (see figure, manual), which can be used separately or consecutively to accomplish several tasks.

AMIC@Tool Content

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The All Microarray Clustering @ once (AMIC@) web application provides users with a range of microarray gene expression data clustering algorithms. Algorithms can be run concurrently on the same data sets. Data can be visualized by heat maps and downloaded as a standard clustered data file for further analysis.

links directory index: 9
TitlePublication YearGoogle Scholar Citation Count
AMIC@: All MIcroarray Clusterings @ once20089

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