Open Source Python Bio-Informatics Software - Page 8

Python Bio-Informatics Software

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Browse free open source Python Bio-Informatics Software and projects below. Use the toggles on the left to filter open source Python Bio-Informatics Software by OS, license, language, programming language, and project status.

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  • 1
    GUI for DEDA

    GUI for DEDA

    GUI for DEmography Data Analysis

    <This project has been completely rewrote and transformed into a new one: https://sourceforge.net/projects/deday/. 2013/06/26> The graphic user interface for DEDA (DEmography Data Analysis), a scientific software package fitting survivalship data to a number of distributions using maximum likelihood (ML) method. Currently, Weibull (2p), Gompertz and Gompertz-Makeham are supported. IMPORTANT NOTICE: Only the GUI is provided here. In order to perform the analysis, one also need the DEDA computation core program. Please email a request to me, entitled: 'Request for DEDA computation core', if you wish to have a copy.
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  • 2
    GWCNV is a genome-wide algorithm for detecting CNV associations with diseases. It works directly on a transformation of intensity data. It is powerful and sensitive in detecting small CNV associations, and retains high power for large CNVs.
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    Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
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  • 4
    GemSIM is a software package for generating realistic simulated next-generation sequencing reads with quality score values. Both Illumina and Roche/454 reads (single or paired end) can be simulated using appropriate empirical error models.
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  • 5

    GenEpiO

    The Genomic Epidemiology Ontology covers food-borne disease terms

    Here we introduce a Genomic Epidemiology Ontology (GenEpiO) that covers vocabulary necessary to identify, document and research food-borne pathogens and associated outbreaks. We envision various subdomains including genomic laboratory testing, specimen and isolate metadata, and epidemiological case investigations. The project files are currently hosted at https://github.com/GenEpiO/genepio/ . Here we provide the genepio-consortium@lists.sourceforge.net listserve. Terms for these subdomains have partially been implemented in the main file, **genepio.owl**, which imports terms from over 25 OboFoundry.org ontologies. Also we have added a number of terms that so far haven't been covered via OboFoundry. Recognizing that GenEpiO encompasses many domains, we are advocating a consortium approach for enhancing its content via interested parties that need particular domain terminology.
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  • 6
    A collection of tools for use in gene naming, including standardization, selection, and comparison.
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  • 7
    This Project moved to https://sourceforge.net/projects/synbiowave/ because the name GeneWave is a registered trademark... Please do not use this project anymore.
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  • 8
    Solving genetic algorithms in a distributed processing system. Developed in python with sockets.
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  • 9

    Genetic data converter

    Convert genetic data for hapmixmap software

    Genetic data converter, for hapmap.org and hapmixmap data formats. Reads data in tabular format and writes in hapmixmap format. It's possible to add extensions to output different data formats.
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  • 10
    A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
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  • 11

    Genomic Binding Sites Analyser (BiSA)

    Genomic Region Archiving and Binding Sites Analysis (BiSA)

    BiSA is a bioinformatics database resource that allows investigators to run a number of overlapping genomic region analyses using their own datasets, or against the pre-loaded Knowledge Base. Analysis results can be restricted to a chromosome; the minimum base pair overlap in two sets or maximum distance between regions can be set; as can the maximum allowed distance between region centres. BiSA is capable of reporting overlapping regions that share common base pairs; regions that are nearby; regions that are not overlapping; average region sizes. BiSA can also annotate binding regions of interest with nearby genes. The results of overlap analysis can be imported into the Knowledge Base, allowing them to go into downstream analysis and independent annotation. A Venn diagram tool is also integrated into the software to allow users to visualize overlap results.
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  • 12
    H-mito is a mitochondrial DNA haplogroup prediction tool based on the phylogenetic tree http://www.phylotree.org/. Ancillary scripts: mitoP.py to extract mutation lists and clustal-2-fasta.zip to join, align through clustalw and convert data.
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  • 13

    HTSeq

    Analysing high-throughput sequencing data with Python

    This SourceForge page is outdated! HTSeq has been moved to github: https://github.com/simon-anders/htseq General information and documentation on HTSeq; http://www-huber.embl.de/users/anders/HTSeq
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  • 15

    Hierarchical Stochastic Block Model

    just a bunch of PhD projects

    Development codes for hierarchical stochastic block models
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  • 16
    Integration of results from multiple homology searches
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  • 17
    HyLiTE

    HyLiTE

    Hybrid Lineage Transcriptome Explorer

    HyLiTE (Hybrid Lineage Transcriptome Explorer) analyzes high-throughput transcriptome data from allopolyploid species. Allopolyploidy describes the formation of a new hybrid organism from the union of two or more different parents. Allopolyploid species carry multiple copies of each gene (homeologs), which often exhibit unusual expression patterns. Homeolog expression levels can technically be determined from next generation sequencing data (RNA-seq), but in practice, assigning reads to one homeolog over another is extremely challenging, particularly on a whole-genome scale. HyLiTE automates this process, and allows gene expression patterns to be explored even in very complex allopolyploid species.
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  • 18
    Analysis of HYDROgen BONding NETworks in protein crystal structures.
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  • 19
    ILNumerics.Net
    math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
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  • 20
    IMPACT is an integrated multi-read peak calling tool for ChIP-Seq data. IMPACT utilizes multi-reads in calling peaks and provides users with high-confidence peaks. In addition, IMPACT provides a completely integrated pipeline which produces downstream analysis results such as motif discovery and peak-to-gene annotation.
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  • 21

    InMethyl

    Design of target-specific primers for bis. sequencing of CpG-islands

    InMethyl is a Python-based application for the design of target-specific primer combinations for PCR amplification and bisulfite sequencing of complete CpG-islands. InMethyl uses bowtie high-throughoutput aligner to identify potential mis-priming sites in the bisulfite treated or intact genome and then – undesirable potential PCR products. InMethyl provides a balance between various characteristics that allows to pick up primers in hard-to-study genomic regions. This balance is based on the calculation of scoring factor including primer pair specificity, nucleotide composition (sequence complexity), thermodynamic features (melting temperature, dimers dG etc.), presence of CpG-sites and other parameters. Users are intended to customize the desired or limit ranges of these values, as well as penalties for out-of-bounds values. InMethyl software allows to optimize combination of PCR primer pairs to perform the amplification of large genomic regions, e.g. CpG-islands.
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  • 22
    Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
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  • 23
    JSONVisor

    JSONVisor

    Visor for mass spectrometry JSON files generated by Integrator

    Visor for mass spectrometry JSON files generated by the Integrator program (Python 3 version). For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/jsonvisor3/code/ci/default/tree/README.md - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., & Abian, J. (2014). A collection of open source applications for mass spectrometry data mining. PROTEOMICS, 14(20), 2275–2279. https://doi.org/10.1002/pmic.201400124
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  • 24
    jrgp is a strong-typed Genetic Programming system, which features a graphical interface (gool) to setup and run GP-problems and a tool (fs-d) that greatly simplifies the definition of a GP-problem.
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  • 25
    KimPeptid

    KimPeptid

    Analyzes Peptides Properties (Python 3 version)

    Analyzes Peptides Properties (Python 3 version). For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/kimpeptid3/code/ci/default/tree/README.md
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