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http://associationviewer.vital-it.ch/

A Java application used to display SNPs in a genetic context. Supplementary data (such as genes or LD plots) is downloaded from various public data sources on the fly and saved locally in a cache. Custom data can be added as supplementary tracks. (entry from Genetic Analysis Software)

Proper citation: ASSOCIATIONVIEWER (RRID:SCR_009063) Copy   

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https://github.com/gaow/genetic-analysis-software/blob/master/pages/WHICHRUN.md

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Software application that uses multilocus genotypic data to allocate individuals to their most likely source population.

Proper citation: WHICHRUN (RRID:SCR_009064) Copy   

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http://www.mapmanager.org/mmQTX.html

A graphic, interactive program to map quantitative trait loci using intercrosses, backcrosses or recombinant inbred strains in experimental plants or animals. A completely rewritten cross-platform version of Map Manager QT with enhanced analysis functions. (entry from Genetic Analysis Software)

Proper citation: MAP MANAGER QTX (RRID:SCR_009061) Copy   

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https://github.com/gaow/genetic-analysis-software/blob/master/pages/G-MENDEL.md

Software tool for construction of genetic linkage maps and analyzing Mendelian phenotypes. (entry from Genetic Analysis Software)

Proper citation: G-MENDEL (RRID:SCR_009062) Copy   

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http://www.cristudy.org/Chronic-Kidney-Disease/Chronic-Renal-Insufficiency-Cohort-Study/

A prospective observational national cohort study poised to make fundamental insights into the epidemiology, management, and outcomes of chronic kidney disease (CKD) in adults with intended long-term follow up. The major goals of the CRIC Study are to answer two important questions: * Why does kidney disease get worse in some people, but not in others? * Why do persons with kidney disease commonly experience heart disease and stroke? The CRIC Scientific and Data Coordinating Center at Penn receives data and provides ongoing support for a number of Ancillary Studies approved by the CRIC Cohort utilizing both data collected about CRIC study participants as well as their biological samples. The CRIC Study has enrolled over 3900 men and women with CKD from 13 recruitment sites throughout the country. Following this group of individuals over the past 10 years has contributed to the knowledge of kidney disease, its treatment, and preventing its complications. The NIDDKwill be extending the study for an additional 5 years, through 2018. An extensive set of study data is collected from CRIC Study participants. With varying frequency, data are collected in the domains of medical history, physical measures, psychometrics and behaviors, biomarkers, genomics/metabolomics, as well as renal, cardiovascular and other outcomes. Measurements include creatinine clearance and iothalamate measured glomerular filtration rate. Cardiovascular measures include blood pressure, ECG, ABI, ECHO, and EBCT. Clinical CV outcomes include MI, ischemic heart disease-related death, acute coronary syndromes, congestive heart failure, cerebrovascular disease, peripheral vascular disease, and composite outcomes. The CRIC Study has delivered in excess of 150,000 bio-samples and a dataset characterizing all 3939 CRIC participants at the time of study entry to the NIDDKnational repository. The CRIC Study will also be delivering a dataset to NCBI''''s Database for Genotypes and Phenotypes.

Proper citation: Chronic Renal Insufficiency Cohort Study (RRID:SCR_009016) Copy   

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http://www.fetk.org/

The Finite Element ToolKit (FETK) is a collaboratively developed, evolving collection of adaptive finite element method (AFEM) software libraries and tools for solving coupled systems of nonlinear geometric partial differential equations (PDE). The FETK libraries and tools are written in an object-oriented form of ANSI-C and in C , and include a common portability layer (MALOC) for all of FETK, a collection of standard numerical libraries (PUNC), a stand-alone high-quality surface and volume simplex mesh generator (GAMer), a stand-alone networked polygon display tool (SG), a general nonlinear finite element modeling kernel (MC), and a MATLAB toolkit (MCLite) for protyping finite element methods and examining simplex meshes using MATLAB. The entire FETK Suite of tools is highly portable (from iPhone to Blue Gene/L), thanks to use of a small abstraction layer (MALOC) and heavy use of the GNU Autoconf infrastructure. The primary FETK ANSI-C software libraries are: :- MALOC is a Minimal Abstraction Layer for Object-oriented C/C programs. :- PUNC is Portable Understructure for Numerical Computing (requires MALOC). :- GAMer is a Geometry-preserving Adaptive MeshER (requires MALOC). :- SG is a Socket Graphics tool for displaying polygons (requires MALOC). :- MC is a 2D/3D AFEM code for nonlinear geometric PDE (requires MALOC; optionally uses PUNC GAMER SG). Application-specific software designed for use with the FETK software libraries is: :- GPDE is a Geometric Partial Differential Equation solver (requires MALOC PUNC MC; optionally uses GAMER SG). :- APBS is an Adaptive Poisson-Boltzmann Equation Solver (requires MALOC PUNC MC; optionally uses GAMER SG). :- SMOL is a Smoluchowki Equation Solver solver (requires MALOC PUNC MC; optionally uses GAMER SG). MATLAB toolkits designed for use with MC and SG or as standalone packages: :- MCLite is a simple 2D MATLAB version of MC designed for teaching. :- FEtkLAB is a sophisticated 2D MATLAB adaptive PDE solver built on top of MCLite. Related packages developed and maintained by FETK developers (included in PUNC above): :- PMG is a Parallel Algebraic MultiGrid code for general semilinear elliptic equatons. :- CgCode is a package of Conjugate gradient Codes for large sparse linear systems. Sponsors: This resource is developed and supported by the MCP Research Group at the UCSD Center for Computational Mathematics.

Proper citation: Finite Element Toolkit (RRID:SCR_008682) Copy   

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http://gaow.github.io/genetic-analysis-software/t-1.html#tlinkage

Software programs that are extensions of the LINKAGE programs that allow the disease phenotype to be under the control of disease two loci. (entry from Genetic Analysis Software)

Proper citation: TLINKAGE (RRID:SCR_008838) Copy   

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http://www.centreducancer.be/en/show/index/section/8/page/34

When a patient suffering or thought to be suffering from cancer is cared for, samples are often taken to determine the precise diagnosis and to determine any treatment necessary. After this essential stage of the patient''s care, unused biological material is sometimes left over. This material is an essential and precious tool for research into cancer. For this reason, patients can decide to make the material available to researchers the world over who study either the development mechanism of cancer or the new treatments available. Residual samples are centralized and stored in the Tumor Bank at the Cliniques Universitaires Saint-Luc Cancer Centre. The research carried out on this material primarily benefits cancer patients. It can help improve existing treatments or discover new drugs, and also allows new diagnostic tools to be tested. Any financial profits obtained from assessing the results obtained are entirely reinvested in the work of the Cancer Centre''s Tumour Bank and in new research projects at the Catholic University of Louvain. Using and sharing material, and verification and retrospective analysis of clinical data, all comply with strict rules. As with donations of blood, marrow or organs, an Ethics Committee oversees the operations of the Tumour Bank and research projects. This committee is responsible for ensuring compliance with current Belgian and legal texts, especially those concerning the protection of patient privacy and rights.

Proper citation: Saint-Luc Tumour Bank (RRID:SCR_008714) Copy   

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http://research.nhgri.nih.gov/software/TRAP/

Software tool for determining a regression model of quantitative or binary trait variation when the number of possible genetic predictors is very large, considering only a moderate number of predictors at one time, using unrelated or family data. (entry from Genetic Analysis Software)

Proper citation: TRAP (RRID:SCR_009002) Copy   

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http://ki.se/en/research/spotlight-on-parkinsons-disease

The primary purpose is to assess the importance of environmental factors for Parkinson's Disease (PD) in a population-based sample of Swedish twins. In PD discordant twin pairs, what are the environmental factors that contribute to the disease in the affected twin and or protect the unaffected twin? Second, we want to investigate whether the earlier reports of low heritability for elderly male twins can be confirmed for female pairs. All twins 55 years of age and older in the Swedish Twin Registry have been screened for most complex diseases. 626 twins have screened positive for PD and most pairs are discordant. To establish diagnosis, a physician will examine all potential cases and their co-twins and their medical records will be reviewed. Environmental factors will be studied through the use of discordant pairs, where genetic susceptibility to the disease can be controlled. Environmental exposures are being secured with telephone interviews and from a questionnaire collected 30 years ago. Recent results indicate that genetic factors play a very small role. A better understanding of the etiology of PD is important for the possibility of delaying onset or even preventing the disease, as well as for providing guidance for molecular biology studies. Types of samples * DNA Number of sample donors: 333 (sample collection completed)

Proper citation: KI Biobank - Parkinson (RRID:SCR_008866) Copy   

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https://github.com/gaow/genetic-analysis-software/blob/master/pages/2SNP.md

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. An algorithm resource for scalable phasing method for trios and unrelated individuals.

Proper citation: 2SNP (RRID:SCR_009038) Copy   

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https://github.com/gaow/genetic-analysis-software/blob/master/pages/AGEINF.md

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Software application used to infer the age of a rare, selectively-neutral mutation.

Proper citation: AGEINF (RRID:SCR_009039) Copy   

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http://www.stat.washington.edu/thompson/Genepi/Albert/albert.shtml

Software application that estimates genotype relative risks, genotyping error rates and population risk allele frequencies from marker genotype data in case-parent trios. ALBERT uses the distribution of trio marker genotypes to compute maximum likelihood estimates for the parameters. (entry from Genetic Analysis Software)

Proper citation: ALBERT (RRID:SCR_009037) Copy   

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http://www.epigenetic.org/Linkage/act.html,

Software application that contains the following modules: ibd, calculates the proportion of gene shared identical by decent for a nuclear family; ibdn, (modified program of ERPA), which implements a method for assessing increased-allele sharing between all pairs of affected relatives within a pedigree; multic, multivariate analysis for complex traits; ml, estimation of variance components using maximum likelihood; ql, estimation of variance components using quasi likelihood; relcov, generates first degree relationship coefficients for extended families; sim2s, the simulation program that was used to test ACT; cage, Cohort Analysis for Genetic Epidemiology; gh: GeneHunter, heavily modified to assist multipoint calculation using multic; TDT: TDT programs written in SAS; gcc and f77 compilers are necessary. Executable programs are included for compatible operating systems, i.e., Solaris2.6. (entry from Genetic Analysis Software)

Proper citation: ACT (RRID:SCR_009033) Copy   

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http://www-gene.cimr.cam.ac.uk/clayton/software/

Software program for estimating frequencies of haplotypes of large numbers of diallelic markers from unphased genotype data from unrelated subjects (entry from Genetic Analysis Software)

Proper citation: SNPHAP (RRID:SCR_008456) Copy   

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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   

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http://cmpg.unibe.ch/software/simcoal/

Software application (entry from Genetic Analysis Software)

Proper citation: SIMCOAL (RRID:SCR_008450) Copy   

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http://dsarm.niapublications.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 18, 2014.

A networking site for investigators using animal models to study aging, developed to provide a venue for sharing information about research models for aging studies. If you have tissue or data from animal models relevant to aging research that you are willing to share with other investigators, D-SARM allows you to identify the model and provides a secure, blinded email contact for investigators who would like to contact you about acquiring tissue or related resources. Investigators looking for resources from a particular model enter search terms describing the model of interest and then use the provided link to send emails to the contacts (names blinded) listed in the search results to initiate dialog about tissue or resources available for sharing. The database is housed on a secure server and admission to the network is moderated by the NIA Project Officer and limited to investigators at academic, government and non-profit research institutions. The goal is to provide a secure environment for sharing information about models used in aging research, promoting the sharing of resources, facilitating new research on aging in model systems, and increasing the return on the investment in research models.

Proper citation: Database for Sharing Aging Research Models (RRID:SCR_008691) Copy   

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http://genetrail.bioinf.uni-sb.de/

A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GeneTrail (RRID:SCR_006250) Copy   

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http://bioinformatics.intec.ugent.be/magic/

Web based interface for exploring and analyzing a comprehensive maize-specific cross-platform expression compendium. This compendium was constructed by collecting, homogenizing and formally annotating publicly available microarrays from Gene Expression Omnibus (GEO), and ArrayExpress.

Proper citation: Magic (RRID:SCR_006406) Copy   

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