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

Software application (entry from Genetic Analysis Software)

Proper citation: RVTESTS (RRID:SCR_007639) Copy   

•   Source: SciCrunch Registry

http://lasurvey.rand.org/

A dataset of a panel study of a representative sample of all neighborhoods and households in Los Angeles County, with poor neighborhoods and families with children oversampled, for investigating the social and economic determinants of health and race and ethnic disparities. The study follows neighborhoods over time, as well as children and families. Two waves have been conducted to date, in 2000-2001 (L.A.FANS 1) and again beginning in 2006 through early 2009 (L.A. FANS 2). L.A.FANS-2 will significantly enhance the utility of the L.A.FANS data for studies of adult health disparities by: 1) Replicating self-reported health measures from L.A.FANS-1 and collecting new self-reports on treatment, health behaviors, functional limitations, quality and quantity of sleep, anxiety, health status vignettes, and changes in health status since the first interview; 2) Collecting physiological markers of disease and health status, including diabetes, hypertension, obesity, lung function, immune function, and cardiovascular disease; and 3) Expanding the data collected on adults'' work conditions, stressful experiences, and social ties. Wherever possible, L.A.FANS uses well-tested questions or sections from national surveys, such as the Health and Retirement Study (HRS), Panel Study of Income Dynamics (PSID), National Longitudinal Surveys (NLS), and National Health Interview Survey (NHIS), and other urban surveys, such as the Project on Human Development in Chicago Neighborhoods, to facilitate comparisons. Data Availability: Public use data, study design, and questionnaire content from L.A.FANS are available for downloading. Researchers can also apply for a restricted use version of the L.A.FANS-1 data that contain considerable contextual and geographically-referenced information. Application procedures are described at the project Website. L.A.FANS-2 fieldwork was completed at the end of 2008. The PIs anticipate L.A.FANS-2 public use data will be released in summer 2009. * Dates of Study: 2000-2008 * Study Features: Longitudinal, Minority Oversamples, Anthropometric Measures, Biospecimens * Sample Size: ** 2000-1: 2,548 (L.A.FANS 1) ** 2006-8: ~3,600 (L.A.FANS 2) Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00172

Proper citation: Los Angeles Family and Neighborhood Survey (RRID:SCR_008923) Copy   

•   Source: SciCrunch Registry

http://watson.hgen.pitt.edu/register/soft_doc.html,

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software application that assigns each person the haplotype with the highest conditional probability using Elston-Stewart algorithm (entry from Genetic Analysis Software)

Proper citation: HAPLO 1 (RRID:SCR_009058) Copy   

•   Source: SciCrunch Registry

http://ki.se/ki/jsp/polopoly.jsp?d=29350&a=31591&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The aim of the study is to improve the understanding of psychiatric co-morbidity and personality traits as a means to improving prevention and treatment for women with hereditary vulnerability to develop alcohol and / or drug dependence. In depth phenotypic assessment through structured interviews with women with alcohol or drug abuse in order to assess history, psychiatric morbidity and personality traits potentially related to environmental and/or hereditary alcoholism. Association studies of polymorphic markers in candidate genes. Blood samples and interviews performs on 200 women with alcohol dependents to examine mental illness and specific personality characteristics associated to environment and/or hereditary form of alcoholism. Blood samples are also collected from 200 healthy women which functions as controls.

Proper citation: KI Biobank - ALF (RRID:SCR_008880) Copy   

•   Source: SciCrunch Registry

http://www.scrible.com/#desktop

We''re bringing Web-based research into the Internet Era by empowering people to mark up web pages in the browser and manage and collaborate on them online. And that''s just the start... We''ve got much more planned in a variety of areas to help people manage the mounds of info they''re pulling off the Web everyday. Simply drag the scrible bookmarklet to your browser''s Bookmarks toolbar. Click it later to mark up, save or share web pages. Even though the world uses the Internet to research nearly everything for work, school and home (job postings, press releases, Wikipedia articles, medical info, etc.), most folks still use old-school ways of annotating, organizing and sharing online info (printing to mark by hand, copying/pasting into Word, etc.). It''s archaic, laborious and a waste of time. We''re changing that. A bookmarklet is a bookmarked link that, when clicked, adds functionality to your browser. When the scrible Bookmarklet is clicked, it loads the scrible Toolbar atop the current webpage you''re viewing. Adding the scrible Bookmarklet to your browser is a breeze. Simply drag it to your browser''s Bookmarks Toolbar.

Proper citation: scrible (RRID:SCR_008882) Copy   

•   Source: SciCrunch Registry

http://www.genetics.emory.edu/labs/epstein/software/scout/index.html

Software program for conducting combined association analysis of triads and unrelated subjects (entry from Genetic Analysis Software)

Proper citation: SCOUT (RRID:SCR_009054) Copy   

•   Source: SciCrunch Registry

http://www.cs.helsinki.fi/group/genetics/haplotyping.html

Software application for population-based haplotyping (entry from Genetic Analysis Software)

Proper citation: HAPLOREC (RRID:SCR_009055) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 29, 2016. Software for segregation and pathway analysis.

Proper citation: SEGPATH (RRID:SCR_009052) Copy   

•   Source: SciCrunch Registry

http://www.mds.qmw.ac.uk/statgen/dcurtis/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documetned on May 12,2023. Software application (entry from Genetic Analysis Software)

Proper citation: FASTMAP (2) (RRID:SCR_008635) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 29, 2016. Software application to calculate kinship coefficient or coefficient of coancestry (the probability that alleles at a given locus are identical by descent).

Proper citation: KIN (RRID:SCR_009047) Copy   

•   Source: SciCrunch Registry

http://chgr.mc.vanderbilt.edu/genomeSIMLA/

Software application that is a forward-time population simulation method that can simulate realistic patterns of LD in both family-based and case-control datasets. (entry from Genetic Analysis Software)

Proper citation: GENOMESIMLA (RRID:SCR_008990) Copy   

•   Source: SciCrunch Registry

http://www.genogram.org/

Software application that is a graphic way of organizing the mass of information gathered during a family assessment and finding patterns in the family system (entry from Genetic Analysis Software)

Proper citation: GENOGRAM-MAKER (RRID:SCR_008751) Copy   

•   Source: SciCrunch Registry

http://www.hoschl.cz/faster/

Software application to reduce family members so the families can be used in GENEHUNTER program. FASTER eliminates the most redundant individuals according to the set of weights (preferences) (Age, Information about genetic Markers, etc.) The program has several features such as automatical reducement of branches without any affected individuals, etc. (entry from Genetic Analysis Software)

Proper citation: FASTER (RRID:SCR_009045) Copy   

•   Source: SciCrunch Registry

http://www.multiqtl.com/

Software application that integrates a broad spectrum of data mining, statistical analysis, interactive visualization and modeling tools that allow QTL analysis based on advanced and sophisticated methods for maximum extraction of the mapping information from data. (entry from Genetic Analysis Software)

Proper citation: MULTIQTL (RRID:SCR_009043) Copy   

•   Source: SciCrunch Registry

http://galton.uchicago.edu/~mcpeek/software/spermseg

Software application for analysis of segregation in single-sperm data (entry from Genetic Analysis Software)

Proper citation: SPERMSEG (RRID:SCR_009044) Copy   

•   Source: SciCrunch Registry

http://cedar.genetics.soton.ac.uk/pub/PROGRAMS/ALLASS

Software application (entry from Genetic Analysis Software)

Proper citation: ALLASS (RRID:SCR_009040) Copy   

•   Source: SciCrunch Registry

http://cooke.gsf.de/wjst/download.cfm

Software application that allows pedigree entry and retrieval from an internet browser into a distant MS ACCESS database. Includes IP access restriction, automatic numbering of families and individuals and database consistency checks. (entry from Genetic Analysis Software)

Proper citation: PEDJAVA (RRID:SCR_008429) Copy   

•   Source: SciCrunch Registry

http://www.nhgri.nih.gov/DIR/IDRB/GASP/

Software tool for testing and investigating methods in statistical genetics by generating samples of family data based on user specified models. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GASP (RRID:SCR_008703) Copy   

•   Source: SciCrunch Registry

http://www.hays.co.uk/index.htm

UK and Australia scientific job board.

Proper citation: Hays (RRID:SCR_008781) Copy   

•   Source: SciCrunch Registry

http://www.nia.nih.gov/research/intramural-research-program/dynamics-health-aging-and-body-composition-health-abc

A study that characterizes the extent of change in body composition in older men and women, identifies clinical conditions accelerating these changes, and examines the health impact of these changes on strength, endurance, disability, and weight-related diseases of old age. The study population consists of 3,075 persons age 70-79 at baseline with about equal numbers of men and women. Thirty-three percent of the men are African-Americans as are 46% of the women. All persons in the study were selected to be free of disability in activities of daily living and free of functional limitation (defined as any difficulty walking a quarter of a mile or any difficulty walking up 10 steps without resting) at baseline. The core yearly examination for HEALTH ABC includes measurement of body composition by dual energy x-ray absorptio��������metry (DXA), walking ability, strength, an interview that includes self-report of limitations, a medication survey, and weight (Measurements in the Health ABC Study). Provision has been made for banking of blood specimens and extracted DNA (HealthABC repository). Study investigators are open to collaboration especially for measures focused on obesity and associated weight-related health conditions including osteoporosis, osteoarthritis, pulmonary function, cardiovascular disease, vascular disease, diabetes and glucose intolerance, and depression. The principal goals of the HEALTH ABC are: # To assess the association of baseline body weight, lean body mass, body fat, and bone mineral content, in relation to weight history, with: incident functional limitation; incidence and change in severity of weight-related health conditions; recovery of physical function after an acute event; baseline measures of strength, fitness and physical performance; gender, ethnicity and socioeconomic status # To access the contribution of episodes of severe acute illness in healthier older persons to changes in body weight, bone mineral content, lean body mass and body fat, and the relationship of these episodes to risk of functional limitation and recovery. # To assess the impact of weight-related co-morbid illness on the risk of functional limitation and recovery. # To assess the ways in which physiologic mediators of change in body composition influence and are influenced by changes in health in older adults and contribute to change in body composition; to understand how changes in body composition affect weight-related cardiovascular disease risk factors such as lipids, blood pressure and glucose tolerance. # To assess the interdependency of behavioral factors, such as nutrition and physical activity, co-morbid health conditions, and their association with change in body composition in old age. # To provide a firm scientific basis for understanding issues related to weight recommendations in old age through increased knowledge of the potential trade-offs between weight and risk of functional limitation, disability, morbidity and death; to provide information critical for developing effective strategies for the maintenance of health in older persons.

Proper citation: Dynamics of Health Aging and Body Composition (Health ABC) (RRID:SCR_008813) Copy   

•   Source: SciCrunch Registry