Showing 366 open source projects for "source"

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  • 1
    GEPETTO - Gene Prioritization in Java

    GEPETTO - Gene Prioritization in Java

    GEPETTO (GEne Prioritization ExTended TOol)

    GEPETTO (GEne PrioriTization ExTended TOol) is an original open-source framework, distributed under the LGPL license, for gene selection and prioritization on a desktop computer that ensures confidentiality of personal data. It takes advantage of the data integration capabilities in the SM2PH-Central Framework(KD4v,MSV3d,BIRD,..), combined with in-house developed gene prioritization methods. It currently incorporates six prioritization modules, based on gene sequence, protein-protein interactions, gene expression, disease-causing probabilities, genomic context). ...
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  • 2
    Application to create 'electronic fluorescent pictographic' representations of gene expression patterns. Created at the Provart lab of the department of Cell & Systems Biology, University of Toronto.
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  • 3
    An input GUI for parameterizing simulation with the LSD Simulator
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  • 4
    GIIAF Microscopy Library

    GIIAF Microscopy Library

    The GIIAF Microscopy Library, that uses customised OMERO software

    This project incorporates a suite of tools that aim to allow researchers within Griffith's Imaging and Image Analysis Facility (GIIAF) to efficiently and effectively provide secure, centralised, web-accessible data storage, management and manipulation. The open-source Java-based OMERO software was customised to provide most of the features of this project.
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  • 5
    StabiTissue

    StabiTissue

    3D Stabilization software for intravital imaging of mouse organs

    - 2D Stabilization in each slice of the stacks in time. - 3D Stabilization intravital imaging of all the stacks (including the dimension Z) - create the videos and the stabilized images in a new folder
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  • 6
    Syzygy is a toolkit for the analysis of targeted (pooled/individual) resequencing datasets.
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  • 7
    A text mining system for extraction of protein-protein interactions from biomedical text.
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  • 8

    SpiKeDeteKt

    An automatic spike detection program to be used with new KlustaKwik

    This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs...
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  • 9
    Analysis of HYDROgen BONding NETworks in protein crystal structures.
    Downloads: 0 This Week
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  • 10

    CSST

    Cascade and Sharing Survival Trees, an ensemble for survival analysis

    Cascading and Sharing Survival Trees (CSST) is a tree-based enseble that allows to efficiently analize survival data. It is a strightforward extension of the CS4 method for lifetime collections of data. The CSST software comes along with its companion the CSST Prediction tool, to use the ensemble prediction in everyday life. Please, refer to the user's manual for further information.
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  • 11
    The PyCogent project is moving to GitHub. When completed, you will find us at http://github.com/pycogent/pycogent/. You can find the PyCogent website at http://www.pycogent.org.
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  • 12
    Laboratory notebook using version control system and independent date-time stamping (as notarization), in order to ensure record accountability, auditing, and conforming to US FDA 21 CFR 21's rule on electronic records. Please kindly rate this application or drop me an email at [ mauriceling AT acm DOT org ] so that I can hear from you. Otherwise, I have no idea who the users are. Please kindly help.
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  • 13
    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...
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  • 14
    CoNIFER

    CoNIFER

    Homepage for CoNIFER (Copy Number Inference From Exome Reads)

    CoNIFER uses exome sequencing data to find copy number variants (CNVs) and genotype the copy-number of duplicated genes.
    Downloads: 7 This Week
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  • 15

    Pysimony

    A Pythonic Implementation of Parsimony Inference of Phylogeny

    UPDATE: After some bug fixes, I've ditched Pysimony for Javamony: https://sourceforge.net/projects/javamony/ Given Python's beauty, I know that someday I will have to finish Pysimony. A student's first attempt at a phylogenetic inference program, written in the simplistic yet elegant Python. Pysimony reads a FASTA file (only ATGC accepted) specified as its only argument. Basic testing has shown that it is slow, inaccurate and most definitely inefficient. An...
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  • 16

    Primer Design Tool

    Design PCR primers

    A simple tool to design DNA primers for mutagenesis in BGME lab (JHU). Allows users to select or enter background sequence and add current and new mutations. During the design process, users are presented with various updating checks to guide them.
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  • 17
    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.
    Downloads: 1 This Week
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  • 18

    pyBioImage

    Biological Imaging Software suite

    The pyBioImage is a python a python based biological imaging suite tailored to the problem of finding Germinal Center "spots" within multidimensional microscopy images as it is described in the research paper: "Software tool for 3D extraction of germinal centers", by David N. Olivieri, Merly Escalona and Jose Faro.
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  • 19

    brocc

    BLAST Read and OTU Consensus Classifier

    NOW HOSTED ON GITHUB: https://github.com/kylebittinger/brocc Old releases are kept here for archival purposes.
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  • 20

    QUASR

    Cross-platform NGS processing and analysis pipeline in Python

    QUASR is a lightweight pipeline written to process and analyse next-generation sequencing (NGS) data from Illumina, 454, and Ion Torrent platforms. Although originally written for viral data, it is generic enough to work on any NGS dataset. Functions include: duplicate removal demultiplexing primer-removal quality-assurance (QA) graphing quality control (QC) consensus-generation minority-variant determination minority-variant graphing The main current version is 6.X, which is...
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  • 21

    Atlas2Cloud

    Atlas2 Genome Analysis Pipeline on Amazon Web Services

    This is the backend source code of the Atlas2-Cloud pipeline on Amazon which starts and terminates worker nodes, runs analysis and monitors worker instances. It is PRIMARILY meant to be used through Amazon Web Services (AWS) management console by looking for the public Atlas2-Cloud machine image. Alternatively, the code can also be used for running the pipeline from your computer.
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  • 22
    QDC (quick direct-method controlled) is an optimized exact implementation of the Gillespie's direct-method. It is designed for biochemical simulations when there is the need of dynamic parameters whose values can change during the simulation.
    Downloads: 1 This Week
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  • 23

    metaProt

    Pipeline to analyze coding regions in metagenomic projects

    metaProt is a python pipeline to analyze and extract data from protein sequences found in metagenomic projects. It integrates several existing tools (HMMer, Pepstats, Blast...) to be used against custom databases. Please, read the README.txt file to find more about this.
    Downloads: 0 This Week
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  • 24
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  • 25
    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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