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http://www.mousephenotype.org/

Center that produces knockout mice and carries out high-throughput phenotyping of each line in order to determine function of every gene in mouse genome. These mice will be preserved in repositories and made available to scientific community representing valuable resource for basic scientific research as well as generating new models for human diseases.

Proper citation: International Mouse Phenotyping Consortium (IMPC) (RRID:SCR_006158) Copy   

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http://mcx.sf.net/mmc/

A Monte Carlo (MC) solver for photon migration in 3D turbid media. Different from existing MC software designed for layered (such as MCML) or voxel-based media (such as MMC or tMCimg), MMC can represent a complex domain using a tetrahedral mesh. This not only greatly improves the accuracy of the solutions when modeling objects with smooth/complex boundaries, but also gives an efficient way to sample the problem domain to use less memory. The current version of MMC support multi-threaded programming and can give a almost proportional speed-up when using multiple CPU cores.

Proper citation: Mesh-based Monte Carlo (MMC) (RRID:SCR_006950) Copy   

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https://github.com/jiantao/Tangram

A C / C++ command line toolbox for structural variation (SV) detection that reports mobile element insertions (MEI). It takes advantage of both read-pair and split-read algorithms and is extremely fast and memory-efficient. Powered by the Bamtools API, it can call SV events on multiple BAM files (a population) simutaneously to increase the sensitivity on low-coverage dataset.

Proper citation: Tangram (RRID:SCR_006152) Copy   

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http://gocognitive.net/

Free access to materials for students, educators, and researchers in cognitive psychology and cognitive neuroscience. Currently there are about a dozen demonstrations and more than 30 videos that were produced over the last two years. The basic philosophy of goCognitive rests on the assumption that easy and free access to high-quality content will improve the learning experience of students and will enable more students to enjoy the field of cognitive psychology and cognitive neuroscience. There are a few parts of goCognitive that are only available to registered users who have provided their email address, but all of the online demonstrations and videos are accessible to the everyone. Both new demonstrations and new video interviews will continually be added to the site. Manuals for each of the demonstration are being created and available as pdf files for download. Most of the demonstrations are pretty straightforward - but in some cases, especially if you would like to collect data - it might be a good idea to look over the manual. There are different ways in which you can get involved and contribute to the site. Your involvement can range from sending us feedback about the demonstrations and videos, suggestions for new materials, or the simple submission of corrections, to the creation or publication of demonstrations and videos that meet our criteria. Down the road we will make the submission process easier, but for now please contact swerner (at) uidaho dot edu for more information. NSF student grant Undergraduate students can apply through goCognitive for an $1,100 grant to co-produce a new video interview with a leading researcher in the field of cognitive neuroscience. The funding has been provided by the National Science Foundation.

Proper citation: goCognitive (RRID:SCR_006154) Copy   

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http://www.cgat.org/~andreas/documentation/cgat/cgat.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 3, 2023. A collection of tools for the computational genomicist written in the python language to assist in the analysis of genome scale data from a range of standard file formats. The toolkit enables filtering, comparison, conversion, summarization and annotation of genomic intervals, gene sets and sequences. The tools can both be run from the Unix command line and installed into visual workflow builders, such as Galaxy. Please note that the tools are part of a larger code base also including genomics and NGS pipelines. Everyone who uses parts of the CGAT code collection is encouraged to contribute. Contributions can take many forms: bugreports, bugfixes, new scripts and pipelines, documentation, tests, etc. All contributions are welcome.

Proper citation: Computational Genomics Analysis Tools (RRID:SCR_006390) Copy   

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http://med.stanford.edu/compmed/education/phd_training.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 27,2022.This program helps address the shortage of veterinarians who are trained for independent research. It supports veterinarians during the first 3 years of their PhD training. Trainees can participate in any graduate program involved in biomedical research at Stanford University: Biochemistry, Biological Sciences, Biophysics, Cancer Biology, Developmental Biology, Genetics, Immunology, Microbiology & Immunology, Molecular & Cellular Physiology, Molecular Pharmacology, Neurosciences, Structural Biology, Bioengineering, and Biomedical Informatics (graduate programs in biomedical research). All share common features: :1. Year 1 focuses on a limited group of courses and laboratory rotations. :2. Subsequent years focus on developing critical thinking via seminars and journal clubs and on independent research. :3. Annual retreats to present and learn about ongoing research in the graduate program. :4. Emphasis on mastering communications skills essential for success in science: oral presentation, writing manuscripts and grant proposals. :5. Developing an appreciation of the role of scientists in the context of society with emphasis on ethical and professional responsibility. Sponsors: It is funded by a T32 training grant from the NIH.

Proper citation: Postdoctoral Program for Veterinarians (RRID:SCR_008296) Copy   

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http://dicom.offis.de/dcmtk.php.en

Software collection of libraries and applications implementing large parts of DICOM standard for medical image communication.Includes software for examining, constructing and converting DICOM image files, handling offline media, sending and receiving images over network connection, as well as demonstrative image storage and worklist servers.

Proper citation: DCMTK: DICOM Toolkit (RRID:SCR_007360) Copy   

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http://biomail.sourceforge.net/biomail/

BioMail is a small web-based application for medical researchers, biologists, and anyone who wants to know the latest information about a disease or a biological phenomenon. It is written to automate searching for recent scientific papers in the PubMed Medline database. BioMail is free and will stay free. What does BioMail do? Periodically BioMail does a user-customized Medline search and sends all matching articles recently added to Medline to the users'' e-mail address. HTML-formatted e-mails generated by BioMail can be used to view selected references in medline format (compatible with most reference manager programs). Why is BioMail helpful? If you use Medline, it may be hard to remember when you did your last search. Often you must scan titles you have already seen to be certain you didn''t miss an important reference. BioMail will perform routine searches for you. This program alerts users to all new papers in their fields automatically. It also helps the user to ''refine'' search patterns once and for all. There is no need to wonder: ''What was that great search pattern I used last Saturday?''. All patterns are safe in the database and can be accessed, tuned, or deleted any time. It is also useful for countries where access to the Internet is not yet widely available. If a person has a permanent e-mail address, but only sporadic www access, she/he only needs to fill out a BioMail form once and then will receive new references from Medline continually.

Proper citation: BioMail (RRID:SCR_008174) Copy   

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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   

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http://cmic.cs.ucl.ac.uk/mig/index.php?n=Tutorial.NODDImatlab

This MATLAB toolbox implements a data fitting routine for Neurite Orientation Dispersion and Density Imaging (NODDI). NODDI is a new diffusion MRI technique for imaging brain tissue microstructure. Compared to DTI, it has the advantage of providing measures of tissue microstructure that are much more direct and hence more specific. It achieves this by adopting the model-based strategy which relates the signals from diffusion MRI to geometric models of tissue microstructure. In contrast to typical model-based techniques, NODDI is much more clinically feasible and can be acquired on standard MR scanners with an imaging time comparable to DTI.

Proper citation: NODDI Matlab Toolbox (RRID:SCR_006826) Copy   

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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   

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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   

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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   

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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   

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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   

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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   

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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   

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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