Tools   Select Another Resource Report Type

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

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

http://www.wavefun.com/

Software program for determining molecular structure and calculating chemical properties. It has a graphical interface and accurate computational models that are compatible with the iPad, iPhone and iPod Touch. When combined with the Spartan'16 Parallel Suite, this enables the first fully-functional open-ended molecular modeling environment on popular mobile technology.

Proper citation: SPARTAN (RRID:SCR_014901) Copy   

•   Source: SciCrunch Registry

http://www.fujitsu.com/jp/group/kyushu/en/solutions/industry/lifescience/admeworks/

Software program for high-speed virtual screening intended for simultaneous evaluation of ADMET properties of compounds. ADMEWORKS Predictor employs a number of models to predict ADMET properties using models based on values of topological, geometric, physicochemical and substructure descriptors derived from the molecular structures.

Proper citation: ADMEWORKS Predictor (RRID:SCR_014905) Copy   

•   Source: SciCrunch Registry

http://www.optibrium.com/stardrop/index.php

Software toolkit for drug design and discovery, including plugins for in silico compound optimization, compound selection and integration into other databases.

Proper citation: StarDrop (RRID:SCR_014902) Copy   

•   Source: SciCrunch Registry

http://brainbox.pasteur.fr/

Web application which allows users to visualise and collaboratively segment and annotate any brain MRI dataset available online via URL. A list of brains are available for use on the main site. Segmentations are automatically saved and can be downloaded as Nifti files or triangular meshes. Users can point BrainBox to their own Nifti data, or try data catalogues created by the community.

Proper citation: BrainBox (RRID:SCR_014750) 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://www.bio-rad.com/en-us/sku/soft-om-sw-opticon-monitor-software

Software which controls all operations in the experimental setup, data acquisition and monitoring, and data analysis stages of the Bio-Rad Opticon 2 system. In the experimental setup stage, setup and programming operations are accessed from the Master File window. The master file consists of a plate file, which specifies the parameters of the plate, and a protocol file, which specifies the experimental conditions. After a plate and a protocol setup have been created or selected, a run can be initiated, which begins the data acquisition and monitoring stage. Data collection can be monitored during the run by viewing a plot of fluorescence intensity vs. cycle number. In the data analysis stage, data can be analyzed using the Quantitation, Melting Curve, and/or Analysis windows. The window used depends on the type of data being collected.

Proper citation: Opticon Monitor Software (RRID:SCR_014241) Copy   

•   Source: SciCrunch Registry