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http://www.phenote.org/

Phenote is both a complete piece of software and a software toolkit designed to facilitate the annotation of biological phenotypes using ontologies. It provides an interface and infrastructure to record genotype-phenotype pairs, together with the provenance for the annotation. Typical users of Phenote include literature curators, laboratory researchers, and clinicians looking for a method to record data in a user-friendly and computable way. Features of Phenote include the use of any OBO-format ontology, ontology navigation and term information display, bulk sort, copy, edit, and delete of phenotype-genotype character entries, and a variety of export formats. Phenote is a project of the Berkeley Bioinformatics Open-Source Projects (BBOP).

Proper citation: Phenote: A Phenotype Annotation Tool using Ontologies (RRID:SCR_008334) Copy   

•   Source: SciCrunch Registry

https://github.com/jiantao/Tangram

A C / C++ command line toolbox for structural variation (SV) detection that reports mobile element insertions (MEI). It takes advantage of both read-pair and split-read algorithms and is extremely fast and memory-efficient. Powered by the Bamtools API, it can call SV events on multiple BAM files (a population) simutaneously to increase the sensitivity on low-coverage dataset.

Proper citation: Tangram (RRID:SCR_006152) Copy   

•   Source: SciCrunch Registry

http://nemo.nic.uoregon.edu/wiki/NEMO_Analysis_Toolkit

THIS RESOURCE IS NO LONGER IN SERVICE. NIH tombstone webpage lists Project Period : 2009 - 2013. The NEMO ERP Analysis Toolkit includes tools for EEG/ERP and MEG data decomposition, and ontology-based mark-up, annotation, and labeling of patterns in EEG and MEG data. These tools have been implemented in MATLAB by Robert Frank, a mathematician and data analyst for NEMO. The current NEMO analysis pipeline has been designed with the aim to support cross-lab, cross-experiment meta-analysis of EEG and MEG data. The current proposed processing pipeline consists of the following steps: * Step 1: Decomposing ERP data (continuous data are transformed into discrete patterns for analysis) o PCA/ ICA/Microstate * Step 2: Marking up the analysis results o Each pattern is annotated with labels that relate pattern attributes to NEMO ontology concepts * Step 3: Clustering the observed patterns within and across experimental groups * Step 4: Labeling the cross-experiment clusters Each item in the above list is a step/phase in the processing pipeline and is associated with a set of matlab scripts in our NEMO ERP Analysis Toolkit, which is implemented by a collection of MATLAB scripts.

Proper citation: NEMO Analysis Toolkit (RRID:SCR_013624) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry