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.
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.
ArrayXPath is a web-based service for matching microarray gene-expression profiles with known biological pathways. Input is a clustered gene-expression profile in a tab-delimited text format. Output includes pathway diagrams.
Asterias is a set of tools for the analyses of high throughput genomic data that includes applications for microarray data normalization, filtering, detection of differential gene expression, class and survival prediction model building, and analysis of array CGH data. Most applications use parallel computing resulting in significant increases in speed.
BAR-PLUS is a web tool for functional and structural annotation of protein sequences based on a large scale genome cross comparison and a non-hierarchical clustering procedure. Sequence annotation is derived from UniProtKB, GO, Pfam and PDB.
A web-based tool based on nonnegative matrix factorization (NMF) that can be used to provide new information from multi-dimensional biological data sets.
Comprehensive R based Microarray Analysis web service (CARMAweb) is a resource for the analyses of microarray data including data preprocessing, detection for differentially expressed genes, cluster analysis, and GO analysis. Calculations are performed in R using functions provided by BioConductor.
ChemMine Tools is an online service for analyzing and clustering small molecules. A suite of cheminformatics and data mining tools for data visualization, structure comparison, similarity searching, compound clustering and prediction of chemical properties are available.
CLIC performs clustering analysis of large microarray datasets. Genes are first clustered in individual dimensions and then using the ordinal labels of clusters for each dimension, full dimension wide clustering is performed.
ClusPro is a tool for automatically computing the docking of two protein structures supplied by the user (or as PDB IDs). The result set is a ranked list of putative complexes, ordered by clustering properties.
The Comparative Pathway Analyzer (CPA) is a web tool for comparative metabolic network analysis. The differences in metabolic reaction content between two sets of organisms are computed and displayed on KEGG pathway maps.