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http://www.emcdda.europa.eu/eib

The EIB provides assessment tests for substance disorder related clinical instruments that are freely available. Details regarding copyright and/or possible use restrictions are specified for each instrument. Instruments are generally classed according to the intervention field they are designed to be used in (treatment, prevention, or harm reduction), though some instruments may be usable in more than one field.

Proper citation: Evaluation Instruments Bank (RRID:SCR_013246) Copy   

•   Source: SciCrunch Registry

http://genome.sph.umich.edu/wiki/GlfSingle

Software application that is a GLF-based variant caller for next-generation sequencing data. It takes one/three/multiple GLF format genotype likelihood files as input and generates a VCF-format set of variant calls as output. (entry from Genetic Analysis Software)

Proper citation: GLFSINGLE/GLFTRIO/GLFMULTIPLES (RRID:SCR_013128) Copy   

•   Source: SciCrunch Registry

http://perlprimer.sourceforge.net/

A free, open-source GUI software application written in Perl that designs primers for standard PCR, bisulphite PCR, real-time PCR (QPCR) and sequencing.

Proper citation: PerlPrimer (RRID:SCR_012038) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/ggsd/

Web-based, relational database driven data management software package for the management of large scale genetic studies. (entry from Genetic Analysis Software)

Proper citation: GGSD (RRID:SCR_013129) Copy   

•   Source: SciCrunch Registry

http://research.mssm.edu/cnic/tools-neurogl.html

A software application which is used to create navigable visuals of neural structures. The current version of the program accepts NeuroZoom ASCII files as input. Users can visit CNIC's online repository for a full list of free, available models. The current version of the software available is Version 1.2, last updated on July 13, 2004.

Proper citation: NeuroGL (RRID:SCR_013803) Copy   

•   Source: SciCrunch Registry

http://research.mssm.edu/cnic/tools-tss.html

A software application which reduces the number of voxels used to represent a volumetric dataset by means of subsampling, i.e., computes a smaller version of a given dataset. Stacks can be selected from the disk by point and click and users are free to specify the new dimensions as actual pixels or as a percent of the original dimensions. The current version is Version 1.0, last updated on February 10, 2003.

Proper citation: TIFF Stack Sub-Sampler (RRID:SCR_013804) Copy   

•   Source: SciCrunch Registry

http://www.som.soton.ac.uk/research/geneticsdiv/epidemiology/chromscan/

A statistical based program for association mapping of disease genes. It utilises the Malecot model and the linkage disequilibrium (LD) map for the candidate region to analyse the genotypes derive from large sample of matched cases and controls. (entry from Genetic Analysis Software)

Proper citation: CHROMSCAN (RRID:SCR_013131) Copy   

•   Source: SciCrunch Registry

http://faculty.washington.edu/eathomp/Anonftp/PANGAEA/BOREL/

Software application for inference of genealogical relationships from genetic data, including sibship inference.

Proper citation: BOREL (RRID:SCR_013135) Copy   

•   Source: SciCrunch Registry

http://www.dbmi.pitt.edu/services/ctma.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on October 11, 2012. The Clinical Trials Management Tools are Java-based suite (accessed via a secure intranet) for managing various aspects of a clinical trial, research protocols, outcomes initiatives, statistical research analysis, as well as CTEP/CDUS reporting. Developed in collaboration with the Clinical Research Services (CRS) Office at the UPCI, this research-based application provides an integrated tool for managing administrative (e.g. IRB submissions and approvals) and clinical (e.g. tumor measurements, registrations/ screenings) functions for the collection and analysis of data generated from a clinical trial. More information can be found here, http://www.upci.upmc.edu/spore/skin/coreD.cfm

Proper citation: Clinical Trial Management Application (RRID:SCR_013531) Copy   

•   Source: SciCrunch Registry

http://mayoresearch.mayo.edu/mayo/research/schaid_lab/software.cfm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software application for statistical methods for disease and genetic marker associations using cases and their parents. These methods include an extension of the transmission/disequilibrium test (TDT) for multiple marker alleles, as well as additional general tests sensitive to associations that depend on dominant or recessive genetic mechanisms. (entry from Genetic Analysis Software)

Proper citation: GASSOC (RRID:SCR_013136) Copy   

•   Source: SciCrunch Registry

http://www.bio.unc.edu/faculty/vision/lab/mappop/

Software application that selects high resolution mapping subsamples and performs bin mapping (entry from Genetic Analysis Software)

Proper citation: MAPPOP (RRID:SCR_013490) Copy   

•   Source: SciCrunch Registry

http://dlin.web.unc.edu/software/SNPMStat/

A command-line program for the statistical analysis of SNP-disease association in case-control/cohort/cross-sectional studies with potentially missing genotype data. SNPMStat allows the user to estimate or test SNP effects and SNP-environment interactions by maximizing the (observed-data) likelihood that properly accounts for phase uncertainty, study design and gene-environment dependence. For SNPs without missing data, the program performs the standard association analysis. For typed SNPs with missing data or untyped SNPs, the program performs the maximum-likelihood analysis. (entry from Genetic Analysis Software)

Proper citation: SNPMSTAT (RRID:SCR_013339) Copy   

•   Source: SciCrunch Registry

http://www.cbil.ece.vt.edu/ResearchOngoingSNP.htm

Software application (entry from Genetic Analysis Software)

Proper citation: MECPM (RRID:SCR_013341) 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

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://www.bios.unc.edu/~lin/software/MAOS/

Software application that implements valid and efficient statistical methods for meta-analysis of genomewide association studies with overlapping subjects. The current release performs logistic regression analysis of individual level data under the additive mode of inheritance. Data from genome-wide association studies are often analyzed jointly for the purposes of combining information from multiple studies of the same disease or comparing results across different disorders. In many instances, the same subjects appear in multiple studies. Failure to account for overlapping subjects can greatly inflate type I error when combining results from multiple studies of the same disease and can drastically reduce power when comparing results across different disorders. (entry from Genetic Analysis Software)

Proper citation: MAOS (RRID:SCR_013351) Copy   

•   Source: SciCrunch Registry

http://www.inteligand.com/ligandscout/

Software that takes a macromolecular structure containing a bound ligand and identifies the key features on the ligand which are interacting with points on a protein. Its features include: automatic interpretation of PDB ligands using geometry, dictionaries and rule; advanced handling of co-factors, ions, water molecules and covalently bound ligands; pharmacophore export to Catalyst(tm), MOE(tm) and PHASE(tm) for virtual screening; and the ability to treat co-factors and water molecules as part of the ligand or part of the macromolecule.

Proper citation: LigandScout (RRID:SCR_014889) Copy   

•   Source: SciCrunch Registry

http://gaussian.com/

Software program for electronic structure modeling that enables researchers to study and predict the properties of molecules and reactions under a wide range of conditions, especially those that are difficult or impossible to observe experimentally.

Proper citation: Gaussian (RRID:SCR_014897) Copy   

•   Source: SciCrunch Registry

https://www.schrodinger.com/Jaguar

Ab initio molecular modeling software program that computes an array of molecular properties such as multipole moments, polarizabilities, and electrostatic potential. It can also map reaction coordinates between reactants, products, and transition states.

Proper citation: Jaguar (RRID:SCR_014895) 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