Sleipnir 2.2

Library to mine and analyze genomic data
Sleipnir is an easy to use, small, free C++ library enabling efficient analysis, integration, mining, and machine learning over genomic data.

This includes a particular focus on microarrays, since they make up the bulk of available data for many organisms, but Sleipnir can also integrate a wide variety of other data types, from pairwise physical interactions to sequence similarity or shared transcription factor binding sites.

All analysis is done with attention to speed and memory usage, enabling the integration of hundreds of datasets covering tens of thousands of genes.

In addition to the core library, Sleipnir comes with a variety of pre-made tools, providing solutions to common data processing tasks and examples to help you use Sleipnir in your own programs.

Sleipnir is free, open source, fully documented, and ready to be used by itself or as a component in your computational biology analyses.

NOTE: Sleipnir is licensed and distributed under the terms of the Creative Commons Attribution 3.0 license.

last updated on:
December 30th, 2011, 23:56 GMT
file size:
1.3 MB
license type:
developed by:
Sleipnir Team
operating system(s):
Mac OS X
binary format:
Home \ Development \ Libraries
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What's New in This Release:
  • Fix confusing documentation in Answerer
  • Fix missing SIZE_MAX definition on Mac OS X
  • Add Partial Correlation Coefficient normalization to CDat and Normalizer
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