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NeoBio is a Java class library of Computational Biology Algorithms. The current version consists mainly of pairwise sequence alignment algorithms such as the classical dynamic programming methods of Needleman-Wunsch and Smith-Waterman.
Generic engine to filter information.
We wish to show that the power of expression of a filter makes it possible to appreciably reduce the size of the code necessary to extract information and that it is possible in Python.
Provide geneology information, contact information, personal descriptions and webpages, calendars, etc in a web interface. This system will use php and any database system and will provide various level of public and private access.
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The documentation of first release of zmicer.utils is available here http://jpatterns.sourceforge.net/zmicerutils/project-summary.html. JZmicer.utils provides the set of the utility classes for the increasing the productivity of Java developers.
Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
The Arbitrarily-Decomposed MPI FFT library is a C subroutine library for the computation of the multidimensional Fast Fourier Transform (FFT) of a distributed grid using the Message-Passing Interface (MPI).
Application to automatically merge gedcom files. It provides either a user or another program the ability to merge gedcom files with as little human interaction as possible and with high quality of matching results.
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reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.
This STL-like C++ library contains classes for long integer numbers processing with using of assembler functions as a backend. Lazy evaluation is also used for optimization. It also contains generic implementation of classical number-theory algorithms.
RunAsApproximator es un programa java multilenguaje que implementa algoritmos numéricos. Los datos de entrada son aquellos requeridos por cada algoritmo y los de salida son resultado final y los datos intermedios necesarios para alcanzar su resolución.