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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://sites.duke.edu/dhhr/

A biomaterial supply resource which collects and disseminates human heart tissue. Samples include both failing and non-failing hearts, RNA/DNA analysis, tissue staining and immunofluorescence samples.The tissue that has been flash frozen and stored at -80˚C is acquired from distinct regions of the heart such as the LV free wall, septum, and valve leaflets. Individual sample sizes are typically 100-300mg for flash frozen tissues. The DHHR also serves as a resource for assay development, target identification, and sponsored research, capable of isolating cardiomyocytes from hearts and using them for in-vitro assays such as calcium handling, enzyme activity, signalling pathways and other biochemical research activities

Proper citation: Duke Human Heart Repository (RRID:SCR_013980) Copy   

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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://www.dexy.it

A multi-purpose project automation tool written in Python which helps create technical documents. Dexy is a free-form literate documentation tool for writing any kind of technical document incorporating code. It provides a consistent interface to tools and scripts and keeps track of what to run, in which order, and with what parameters.

Proper citation: Dexy (RRID:SCR_013982) Copy   

•   Source: SciCrunch Registry

http://www.pgbovine.net/cde.html

A software application which automatically packages up the code, data, and environment required to deploy and run Linux programs on other machines without any installation or configuration. Users can prepend any set of Linux commands with the "cde" binary, and CDE will run them and automatically package up all files accessed during execution. A package is a directory that can be compressed and delivered to any x86-Linux machine and contains all the files and environment variables required to run the original commands. After receiving the package, the user can run those same commands from within the package on any modern x86-Linux distro., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CDE Tool (RRID:SCR_013981) 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://www.cellosaurus.org/

Database of all cell lines used in biomedical research which include immortalized cell lines, naturally immortal cell lines (stem cells), widely used and distributed finite life cell lines, vertebrate cell lines (majority being human, mouse, and rat), and invertebrate (insects and ticks) cell lines, as well as cell line synonyms. Each cell line is provided with the following information: the recommended name (the name which appears in the original publication), a list of synonyms, a unique accession number, comments on a number of topics including misspellings and gene transfection, information on the tissue/organ origin with the UBERON code, the NCI Thesaurus or Orphanet ORDO code for the disease(s) the individual suffered from (for cancer and human genetic disease lines only), the species of origin, the parent cell line, cross-references of sister cell lines, the sex of the individual, the category in which the cell line belongs (Adult stem cell; Cancer cell line; Embryonic stem cell; Factor-dependent cell line; Finite cell line; Hybrid cell line; Hybridoma; Induced pluripotent stem cell; Spontaneously immortalized cell line; Stromal cell line; Telomerase immortalized cell line; Transformed cell line; Undefined cell line type), web links, publication references, and/or cross-references to cell line catalogs/collections, ontologies, cell lines databases/resources, and to databases that list cell lines as samples.

Proper citation: Cellosaurus (RRID:SCR_013869) 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.kitware.com

A software repository which provides open source software and technology for visualization, computer vision, medical imaging, data publishing, and quality software process solutions. Kitware also provides services such as creating customized applications for clients, porting their open-source tools to specialized computing platforms, and supporting their open-source software tools with documentation, professional consulting services, and software training.

Proper citation: Kitware (RRID:SCR_013989) 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://mloss.org/software/

A software repository which provides open source software for machine learning. Software entries include information such as author, license, data format, and programming language. The ultimate goal of mloss.org is to create a comprehensive open source machine learning environment where open source machine learning software can compete with comercial closed source solutions.

Proper citation: machine learning open source software (RRID:SCR_013990) Copy   

•   Source: SciCrunch Registry

http://xoonips.sourceforge.jp/

Neuroinformatics (NI) is a new discipline that challenges the understanding of the structure and mechanism of the brain by combining neuroscience and information technology. The global collaborations in this field have been actively started with the support of the International Neuroinformatics Coordinating Facility (INCF) launched in November 2005. The Laboratory for Neuroinformatics at RIKEN Brain Science Institute (BSI) is involved in developing various cutting-edge technologies related to NI such as XooNIps. XooNIps succeeded the concept and basic feature of the vision science platform; Visiome, constructed by the NRV (i.e., Neuroinformatics Research in Vision) Project and has been developed based on a content management system (CMS); XOOPS, as infrastructure for NI databases to share different types of data on the Internet. :XooNIps has three features: :The first is the flexibility of developing databases. CMS-based XooNIps makes it easy to change the design or to extend the functions of databases by combining the different modules available on XOOPS. Therefore, even those who are not expert in computer system can develop their database on XooNIps. :The second is the diversity and extensibility of the data which can be handled by XooNIps. In order to handle different types of actual data, it provides not only the various data forms per se, but also the extension method to handle a new data form, which enables to deal easily with even a non-standardized data form. :The third is the facility to distribute metadata. XooNIps implements OAI-PMH (i.e., Open Archive Initiative-Protocol for Metadata Harvesting) which is one of the standard protocols to distribute metadata. This enables to collect information on other databases which are developed on XooNIps or to coordinate databases by exchanging metadata with other databases which implement OAI-PMH than those on XooNIps. :Since April 2007, Neuroinformatics Japan Center (NIJC) at RIKEN BSI takes charge of extending and maintaining XooNIps, and is committed to manage the documentation hereafter. :NIJC, as a national node of INCF, is developing and operating various NI platforms in neuroscience based on XooNIps to establish and facilitate NI research in Japan. XooNIps is also being applied to databases or organizational repositories in several institutions and universities, and laboratory groupware in various fields. We hope XooNIps will be of universal use in and out of Japan. :database; binary executable; software development tool; metadata; data set; :

Proper citation: XooNIps - Neuroinformatics Base Platform System (RRID:SCR_013590) 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

https://github.com/emsweene/SuBLIME_package

Software used for detection of lesions in patients with multiple sclerosis. It provides an automated method for segmenting incident lesion voxels and allows for sensitive and specific detection of lesion incidence that can be applied to large collections of images. Using the explicit form of the statistical model, SuBLIME can be adapted to cases when more or fewer imaging sequences are available.

Proper citation: SuBLIME (RRID:SCR_014409) Copy   

•   Source: SciCrunch Registry

https://www.qimacros.com/spc-software-for-excel/

A statistical process control (SPC) add-in for Microsoft Excel. The user can select their data and the program will draw the desired chart or run the desired statistical test.

Proper citation: QI Macros (RRID:SCR_014496) Copy   

•   Source: SciCrunch Registry

https://www.charmm.org/charmm/?CFID=66837e22-4ee5-47ba-bcbf-b4b385c2397e&CFTOKEN=0

Software program that simulates molecular interactions. It has features that allow broad application to many-particle systems with a comprehensive set of energy functions, a variety of enhanced sampling methods, and support for multi-scale techniques, and a range of implicit solvent models. It also primarily targets biological systems including peptides, proteins, prosthetic groups, small molecule ligands, nucleic acids, lipids, and carbohydrates, as they occur in solution, crystals, and membrane environments. CHARMM can also be applied to inorganic materials with applications in materials design and has a comprehensive set of analysis and model builiding tools.

Proper citation: CHARMM (RRID:SCR_014892) 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