Search Software

  • Bioconductor is an open source and open development software project to provide tools for the analysis and comprehension of genomic data.

  • D4M

    D4M attempts to combine the advantages of five distinct processing technologies (sparse linear algebra, associative arrays, fuzzy algebra, distributed arrays, and triple-store/NoSQL databases such as Hadoop HBase and Apache Accumulo) to provide a database and computation system that addresses the

  • Graphviz is a free and open source graphing application.  It takes the description of graphs in text format and creates images, so that it can be embedded in presentations, papers etc.

  • JMP

    JMP is a statistical discovery software. It is the SAS product designed for dynamic data visualization on the desktop. It links statistics with graphics and makes users data accessible easily in many ways.

  • Matlab is a high level technical computing language and interactive environment for data visualization, data analysis, numerical computation, and algorithm development.

  • Pig

    Apache Pig is a platform for analyzing large data sets that consists of a high-level language

  • R

    R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

  • SAS

    SAS is a scalable, integrated software environment and a flexible and extensible programming language designed for data access, data manipulation, and data analysis. It offers data management and predictive analytic capabilities, data mining process, drug discovery solutions, and much more.

  • Stata is an integrated statistical package that provides extensive functionality for data analysis, data management, and graphics.

  • Weka is a data mining software in Java. It consists of a collection of machine learning algorithms for data pre-processing, classification, regression, clustering, association rules, and visualization.