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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

http://pubmatrix.grc.nia.nih.gov/

PubMatrix is a web-based tool that allows simple text based mining of the NCBI literature search service PubMed using any two lists of keywords terms, resulting in a frequency matrix of term co-occurrence. PubMatrix is a simple way to rapidly and systematically compare any list of terms against any other list of terms in PubMed. It reports back the frequency of co-occurrence between all pairwise comparisons between the two lists as a matrix table. Lists of terms can be anything; gene names, diseases, gene functions, authors, etc. The user can then quickly sort or browse the frequency matrix table to do individual searches independently. This allows the user to build up tables of word relationships in PubMed in the context of your experiments or your scientific interests. This is useful for analyzing combinatorial datasets, as found with multiplex experimental systems, such as cDNA microarrays, genomic, proteomic, or other multiplex comparisons. The PubMatrix database is an archive of previous searches on many topics. Sponsors: PubMatrix is supported by the National Institutes of Health.

Proper citation: PubMatrix (RRID:SCR_008236) 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   

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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   

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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   

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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   

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http://www.gaworkshop.org/

The Genetic Analysis Workshops (GAWs) are a collaborative effort among genetic epidemiologists to evaluate and compare statistical genetic methods. For each GAW, topics are chosen that are relevant to current analytical problems in genetic epidemiology, and sets of real or computer-simulated data are distributed to investigators worldwide. Results of analyses are discussed and compared at meetings held in even-numbered years. The GAWs began in 1982 were initially motivated by the development and publication of several new algorithms for statistical genetic analysis, as well as by reports in the literature in which different investigators, using different methods of analysis, had reached contradictory conclusions. The impetus was initially to determine the numerical accuracy of the algorithms, to examine the robustness of the methodologies to violations of assumptions, and finally, to compare the range of conclusions that could be drawn from a single set of data. The Workshops have evolved to include consideration of problems related to analyses of specific complex traits, but the focus has always been on analytical methods. The Workshops provide an opportunity for participants to interact in addressing methodological issues, to test novel methods on the same well-characterized data sets, to compare results and interpretations, and to discuss current problems in genetic analysis. The Workshop discussions are a forum for investigators who are evolving new methods of analysis as well as for those who wish to gain further experience with existing methods. The success of the Workshops is due at least in part to the focus on specific problems and data sets, the informality of sessions, and the requirement that everyone who attends must have made a contribution. Topics are chosen and a small group of organizers is selected by the GAW Advisory Committee. Data sets are assembled, and six or seven months before each GAW, a memo is sent to individuals on the GAW mailing list announcing the availability of the GAW data. Included with the memo is a short description of the data sets and a form for requesting data. The form contains a statement to be signed by any investigator requesting the data, acknowledging that the data are confidential and agreeing not to use them for any purpose other than the Genetic Analysis Workshop without written permission from the data provider(s). Data are distributed by the ftp or CD-ROM or, most recently, on the web, together with a more complete written description of the data sets. Investigators who wish to participate in GAW submit written contributions approximately 6-8 weeks before the Workshop. The GAW Advisory Committee reviews contributions for relevance to the GAW topics. Contributions are assembled and distributed to all participants approximately two weeks before the Workshop. Participation in the GAWs is limited to investigators who (1) submit results of their analyses for presentation at the Workshop, or (2) are data providers, invited speakers or discussants, or Workshop organizers. GAWs are held just before the meetings of the American Society of Human Genetics or the International Genetic Epidemiology Society, at a meeting site nearby. We choose a location that will encourage interaction among participants and permit an intense period of concentrated work. The proceedings of each GAW are published. Proceedings from GAW16 were published in part by Genetic Epidemiology 33(Suppl 1), S1-S110 (2009) and in part by Biomed Central (BMC Proceedings, Volume 3, Supplement 7, 2009). Sponsors: GAW is funded by the Southwest Foundation for Biomedical Research.

Proper citation: Genetic Analysis Workshop (RRID:SCR_008350) 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

https://med.stanford.edu/compmed/TrainingforPre-DVM-T35-and-DVMs-T32/summer.html

The program seeks to help veterinary students become biomedical researchers. A secondary goal is to provide research experience to veterinary students interested in careers in laboratory animal medicine and/or pathology. Previous participants were veterinary students at Colorado State University, Cornell University, Kansas State University, Michigan State University, North Carolina State University, Ohio State University, Purdue University, Tufts University, Tuskegee University, University of California, University of Illinois, University of Tennessee, Washington State University, and Western University. The Program consists of workshops on research-related topics, a veterinary student journal club, sessions on research career development for veterinarians, an individual research project, and a veterinary student research symposium. The research project is the most important part of the Program. The goals of the research project are to have students address a significant experimental question, work independently and with other researchers, and produce and publish results. Students are matched with a preceptor (see list of faculty below) according to research interests. The preceptor outlines a focused project for the student to perform in their laboratory. Students become completely involved in their assigned laboratory participating in laboratory meetings and social events, attending seminars with other members of their laboratory, and working on their research project at least 40 hours/week.

Proper citation: Summer Fellowships - Comparative Medicine (RRID:SCR_008306) Copy   

•   Source: SciCrunch Registry

https://www.vet.k-state.edu/research/docs/BRITE-application.pdf

The BRITE Veterinary Student Program provides DVM students interested in research with a subsidized, in-depth mentored research experience. The opportunity can be used to gain research experience, to obtain an MS, or to jump-start a DVM/PhD program. The BRITE veterinary student program is designed to expose DVM students to hypothesis-driven research activities, methodologies involved in design and execution of laboratory experiments and ethical issues pertinent to biomedical research, at a formative stage of their veterinary education. BRITE veterinary students are given a unique opportunity to utilize the rigorous didactic basic science training obtained during the first two years of the professional curriculum in pursuit of a research problem relevant to human and animal health. Sponsors: The program is funded by Kansas State University.

Proper citation: Basic Research Immersion Training Experience Veterinary Student Program (RRID:SCR_008305) 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.vetmed.lsu.edu/Summer_Scholars_Program.htm

The aim of the Summer Scholars Program is to provide veterinary medical students the opportunity to explore the world of biomedical research, develop and complete a biomedical research project during the summer. The intent is to engage students in a creative, problem-solving research activity and to provide a learning experience that will lead to the discovery of new knowledge in an area of their choosing and identify potential pathways to a career in biomedical research. Research plans will be developed by students with faculty mentor input, on any topic of interest to the student and likely to lead to the discovery of new information. Example topics are: immunology and infectious diseases, cancer biology, molecular epidemiology, experimental studies focused on nutrition and obesity, pharmacology, environmental toxicology, mechanisms of pathogenesis, zoonoses, biomechanics, cardiovascular pathophysiology, and others. The mentor and other advisors will provide guidance to students and an assessment of progress. Students will provide at completion of the study, an oral presentation of their results to their colleagues and all mentors and a presentation of results via posters at the annual Merial NIH National Veterinary Scholars Symposium, to be held in 2010 at the University of Georgia, and at the LSU Phi Zeta Research Emphasis Day. It is noteworthy that one Summer Scholar won an award at the 2008 LSU Phi Zeta Research Emphasis Day. LSU Students will receive elective credit in the curriculum (VMED 5010 or VMED 5463) for successful completion of the program. Students will be strongly encouraged to work with their mentors to publish their findings in peer-reviewed journals separately or as a smaller piece of work with their mentors. Sponsors: The program is funded by a Merial Foundation grant and an NIH T35 training grant.

Proper citation: Merial/NIH Veterinary Scholars Program (RRID:SCR_008301) Copy   

•   Source: SciCrunch Registry