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An analysis pipeline for mining exome-Seq and RNA-Seq data, focusing on quality control, SNP identification and annotation, RNA quantification, differentially expressed genes analysis, eqtl, and pathway analysis. http://seqgene.sourceforge.net
This is an add-on visualization package for the Weka datamining tool.
Parallel coordinates is a common way of visualizing high-dimensional geometry and analyzing multivariate data. To show a set of points in an n-dimensional space, a backdrop is dr
MSA2SNP is a tool for mining SNP sites in multiple sequence alignment (MSA). This tool inherits the easy-to-use interface from MEGA4 Explorer with advance data presentation. MSA2SNP lets you visualize alignments and import from CLUSTAL program directly.
A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, datamining tools, compilers, among others.
Knime (http://www.knime.org) nodes for sequence bioinformatics. Sequime is an eclipse plug-in for the KNIME datamining platform, providing additional nodes for reading, processing and visualizing sequence information.
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Ferda is a user friendly datamining tool. It is a modular distributed multiplatform framework based on Internet Communications Engine. Ferda is very powerful in working with association rules.
Windows application for datamining with self-organizing neural networks. It works with text data files and has convenient user interface. Is solves datamining tasks of class Recognition, continuous value Prediction, and time series Forecast.
Cougar Squared is a new Java library for machine learning and datamining research, supporting research needs of the community. It is written by researchers for researchers. It extends the WEKA and YALE machine learning frameworks.
Leark is a DataMining library developed in C#.NET. It contains several methods for ranking web documents described with a set of normalized features, and a feature selection algorithm. The methods are based on perceptron and clustering.
Datamining tool for sequences (e.g. trajectories on a map, visited web pages, etc.) that creates a succinct description of the sequences, given a taxonomy (e.g. regions and sub-regions in the map, categories and sub-categories of pages, etc.).
System for Web usage mining and data warehouse: it allows the discovery of knowledge from data (KDD) regarding users' usage on the Web (such as unique visitors, sessions, transactions) and organise it in a RDBMS (currently PostgreSQL). Written in C++.
Content Addressable Memory, Multi-Variate Statistics, DataMining Includes analyzing datasets, extracting patterns, creating empirical expert system. Computes joint probabilities and implements a "belief" as the solution of an equilibrium equation
DM LiWeCool is a tool for preprocessing light-weight CSV data files as Weka-compatible. It includes merging different header lines into one, editing values (encoding, categorizing, etc) and saving data as ARFF or XRFF (Weka native). It is Java-based.
"poco" (Spanish & Italian for "little") OLAP provides a web-based, crosstab reporting tool for your datawarehouse. While it's not an OLAP server or full fledged datamining solution, pocOLAP makes your data easy to use and understand ... for free!
KeplerWeka adds the functionality of the open-source machine learning and datamining workbench WEKA to the free and open-source, scientific workflow application, Kepler.
Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.
Open datamining platform. Provides common architecture for algorithms of various types. Efficient processing of arbitrarily large volumes of data thanks to data streaming. Weka and Rseslib partially integrated. (www.debellor.org)
Kosmos distributed file system provides high performance combined with availability and reliability. It is intended to be used as the backend storage infrastructure for data intensive apps such as, search engines, datamining, grid computing etc.