Search Results for "lightweight linux"
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Showing 16 open source projects for "lightweight linux"
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LMAP_S
Lightweight Multigene Alignment and Phylogeny eStimation
Emanuel Maldonado and Agostinho Antunes (2019) LMAP_S: Lightweight Multigene Alignment and Phylogeny eStimation. BMC Bioinformatics, 20:739. doi: https://doi.org/10.1186/s12859-019-3292-5 -
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LMAP
Lightweight Multigene Analyses in PAML
Maldonado E, Almeida D, Escalona T, Khan I, Vasconcelos V and Antunes A (2016) LMAP: Lightweight Multigene Analyses in PAML. BMC Bioinformatics, 17:354. doi: https://doi.org/10.1186/s12859-016-1204-5 -
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JMGF
Java implementation for the Mascot Generic File Format (MGF).
JMGF is a lightweight framework for handling MGF files. It supports reading, writing and parsing of MGF files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later. -
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JFASTA
Java implementation for the FASTA file format.
JFASTA is a lightweight framework for handling FASTA files. It supports reading, writing and parsing of single- or multi-FASTA files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later. -
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MintMCScanX
Your personal MCScanX enabled Linux
MintMCScanX is a lightweight linux virtual OS based on Mint OS xfce Rebecca. MinMCScanX comes with inbuilt installed MCScanX with all its dependencies and examples. It also harbors apache to enable developers evolve there imagination for creating custom pipelines and servers based on MCScanX. You just have to add the image file in Virtualbox and you are ready to go. -
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BioUtils - Proteomics
Lightweight framework for handling biological and bioinformatical data
The BioUtils - Proteomics package is a lightweight Java framework for handling commonly used data produced and needed in the field of Mass spectrometry in general and especially in the field of Proteomics. It's stable, intuitive to use and good integrated with Java 6 SDK and later. -
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GeneticAlgorithms
Framework for using the Genetic Algorithms optimization heuristic.
GeneticAlgorithms is a simple and lightweight framework to implement an optimization heuristic following the Genetic Algorithms model. A genetic algorithm mimics the natural processes of evolution, selection and "survival of the fittest". This framework is intuitive and good integrated with Java 1.5 SDK and later. -
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mobycore
The lightweight java library that implements BioMOBY protocol
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The project is for developing libraries for visualizing biological sequence data on the web. The libraries are written in C and currently use a language (lex/yacc) based front end for presenting features on genomes, contigs, or any type of sequence.
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This library is a lightweight implementation of genetic algorithm, contains the most popular types of chromosomes and the basic algorithms for selection, elitism, crossing and mutation.
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Anna is lightweight Java framework to build pipeline systems of any kind. It will take care of recurrent needs such as dependency management, data serialisation and synchronization as well as parallelization of execution.
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Lightweight bioinformatics tools and libraries developed at JCVI.
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A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
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This is a lightweight database system to support bioinformatics data mining. See BMC Bioinformatics. 2005 Mar 24; 6(1): 72 for the first publication. It supports large-scale data mining and data mining tools.
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