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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www.cgat.org/~andreas/documentation/cgat/cgat.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 3, 2023. A collection of tools for the computational genomicist written in the python language to assist in the analysis of genome scale data from a range of standard file formats. The toolkit enables filtering, comparison, conversion, summarization and annotation of genomic intervals, gene sets and sequences. The tools can both be run from the Unix command line and installed into visual workflow builders, such as Galaxy. Please note that the tools are part of a larger code base also including genomics and NGS pipelines. Everyone who uses parts of the CGAT code collection is encouraged to contribute. Contributions can take many forms: bugreports, bugfixes, new scripts and pipelines, documentation, tests, etc. All contributions are welcome.
Proper citation: Computational Genomics Analysis Tools (RRID:SCR_006390) Copy
https://CRAN.R-project.org/package=cluster
Software R package. Methods for Cluster analysis. Performs variety of types of cluster analysis and other types of processing on large microarray datasets.
Proper citation: Cluster (RRID:SCR_013505) Copy
http://dicom.offis.de/dcmtk.php.en
Software collection of libraries and applications implementing large parts of DICOM standard for medical image communication.Includes software for examining, constructing and converting DICOM image files, handling offline media, sending and receiving images over network connection, as well as demonstrative image storage and worklist servers.
Proper citation: DCMTK: DICOM Toolkit (RRID:SCR_007360) Copy
http://cmic.cs.ucl.ac.uk/mig/index.php?n=Tutorial.NODDImatlab
This MATLAB toolbox implements a data fitting routine for Neurite Orientation Dispersion and Density Imaging (NODDI). NODDI is a new diffusion MRI technique for imaging brain tissue microstructure. Compared to DTI, it has the advantage of providing measures of tissue microstructure that are much more direct and hence more specific. It achieves this by adopting the model-based strategy which relates the signals from diffusion MRI to geometric models of tissue microstructure. In contrast to typical model-based techniques, NODDI is much more clinically feasible and can be acquired on standard MR scanners with an imaging time comparable to DTI.
Proper citation: NODDI Matlab Toolbox (RRID:SCR_006826) Copy
https://github.com/MicrosoftGenomics/FaST-LMM
FaST-LMM (Factored Spectrally Transformed Linear Mixed Models) is a set of tools for efficiently performing genome-wide association studies (GWAS), prediction, and heritability estimation on large data sets.
Proper citation: FaST LMM (RRID:SCR_015506) Copy
https://support.inscopix.com/search/site/Mosaic
Mosaic software features apps designed to help you derive deeper insights from videos of large scale circuit dynamics by Inscopix Inc.
Proper citation: Mosaic (RRID:SCR_017408) Copy
http://bioinformatics.org/ghemical/ghemical/index.html
Molecular modelling software package with 3D-visualization tools. It supports methods based on both molecular mechanics and quantum mechanics (using MOPAC7, and MPQC for QM). It contains geometry optimization (for MM and QM) and molecular dynamics (for MM) algorithms.
Proper citation: Ghemical (RRID:SCR_014899) Copy
https://cran.r-project.org/web/packages/devtools/index.html
Software tools to make developing R packages easier by providing R functions that simplify and expedite common tasks.
Proper citation: devtools (RRID:SCR_016961) Copy
http://users.sussex.ac.uk/~lionelb/MVGC/
Matlab software toolkit designed to facilitate Granger-causal analysis with multivariate and possibly multi-trial time series data. Annotated demonstration scripts are available which may be used as templates to assist in this the toolbox's functions.
Proper citation: MVGC Multivariate Granger Causality Matlab Toolbox (RRID:SCR_015755) Copy
https://github.com/EpistasisLab/ReBATE
Open source software Python package to compare relief based feature selection algorithms used in data mining. Used for feature selection in any bioinformatics problem with potentially predictive features and target outcome variable, to detect feature interactions without examination of all feature combinations, to detect features involved in heterogeneous patterns of association such as genetic heterogeneity .
Proper citation: ReBATE (RRID:SCR_017139) Copy
https://github.com/bionitio-team/bionitio
Open source software tool to provide template for command line bioinformatics tools in various programming languages. Program reads one or more input FASTA files, computes variety of statistics on each file, and prints tabulated output. Used as basis for learning and as foundation for starting new projects.
Proper citation: Bionitio (RRID:SCR_017259) Copy
https://github.com/sanger-pathogens/Fastaq
Software application for diverse collection of scripts that perform useful and common FASTA/FASTQ manipulation tasks, such as filtering, merging, splitting, sorting, trimming, search/replace, etc. Input and output files can be gzipped (format is automatically detected) and individual Fastaq commands can be piped together.
Proper citation: Fastaq (RRID:SCR_016091) Copy
http://fastqtl.sourceforge.net/
Software for mapping of molecular phenotypes that implements a new permutation scheme to accurately and rapidly correct for multiple-testing at both the genotype and phenotype levels in large-scale datasets. It is used to discover quantitative trait loci, multi-dimensional genomic datasets combining DNA-seq and ChiP-/RNA-seq.
Proper citation: Fastqtl (RRID:SCR_016093) Copy
http://harvest.readthedocs.org/en/latest/content/harvest-tools.html
Software tools archiving and postprocessing for reference-compressed genomic multi-alignments. It is used for creating and interfacing with Gingr files, which are archives that the Harvest Suite uses to store reference-compressed multi-alignments, phylogenetic trees, filtered variants and annotations.
Proper citation: Harvest-tools (RRID:SCR_016132) Copy
http://www.moldiscovery.com/software/vsplus/
Software package for molecular descriptors, ADME prediction and membrane permeability prediction. These can then be used with provided chemometric tools to build statistical models.
Proper citation: VolSurf (RRID:SCR_014911) Copy
http://CRAN.R-project.org/package=RVAideMemoire
Software package that contains miscellaneous functions useful in biostatistics, such as univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions shorten existing procedures and implement plotting functions that can be used with a variety of methods and packages.
Proper citation: R package: RVAideMemoire (RRID:SCR_015657) Copy
https://www.thermofisher.com/order/catalog/product/CHROMELEON7
Software system to support chromatography operations, to ensure data quality and manage all the analytical processes from instrument control, to raw data storage and processing, through to generating the final results.
Proper citation: Chromeleon Chromatography Data System (CDS) Software (RRID:SCR_016874) Copy
https://github.com/lrq3000/spm_auto_reorient_coregister
Open source cross platform for automatic AC-PC realignment, reorientation and coregistration robust to brain damage in Statistical Parametric Mapping. Set of routines to perform auto reorient and auto coregistration in toolbox SPM12.
Proper citation: spm_auto_reorient_coregister (RRID:SCR_017281) Copy
https://github.com/QTIM-Lab/DeepNeuro
Software Python package for neuroimaging data. Framework to design and train neural network architectures. Used in medical imaging community to ensure consistent performance of networks across variable users, institutions, and scanners.
Proper citation: DeepNeuro (RRID:SCR_016911) Copy
https://github.com/missy139/PreSurgMapp
A MATLAB toolbox for processing the functional areas of the brain using multi-modal fMRI data for pre-surgical mapping. It is composed of three types of individual-level ICA analyses for user use. Traditional ICA (task) can be used for task fMRI. Either Traditional ICA (rest) or ICA with DICI (rest) can be used for rs-fMRI. Traditional ICA (rest) is designed for users who already have a hypothesis of the pattern of the target component and want to have manually set components by themselves. ICA with DICI (rest) is completely automatic, given that the user provides a template (provided). The software utilizes an automatic component identification method that is based on the discriminatory-index. All the components from multiple ICA runs with multiple component settings are ranked and compiled.
Proper citation: PreSurgMapp (RRID:SCR_014427) Copy
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