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http://www-genome.stanford.edu/

This resource hyperlinks to systematic analysis projects, resources, laboratories, and departments at Stanford University.

Proper citation: Stanford Genomic Resourses (RRID:SCR_001874) Copy   

•   Source: SciCrunch Registry

http://www.biochemweb.org/

This site is provided as a service to scientists, educators, students and others simply interested in the Biological subjects. While many of the resources listed on these pages are designed for scientific professionals, those that require little or no background are labeled as Beginner's Level. Topics include: Angiogenesis, Apoptosis, Carbohydrates, Cell Adhesion & ECM, Cell Cycle, Cell Senescence, Chemical Biology, Cytoskeleton & Motility, Development, Enzymes, Genes, Lipids & Membranes, Metabolism, Microscopy, Organelles, Proteins, Signaling, Structural Biology, Systems Biology Other available categories include: General Resources & Tutorials, Scientific Research Groups, Databases & Tools, Methods, Software, Vendors, Books, Journals, Literature Search, Career & Funding, Organizations & Meetings

Proper citation: BioChemWeb.org - The Virtual Library of Biochemistry Molecular Biology and Cell Biology (RRID:SCR_001912) Copy   

•   Source: SciCrunch Registry

http://www.researchcatalogue.esrc.ac.uk/grants/RES-149-25-1076/outputs/read/159dcb59-55e8-40bc-9e6b-f580dbdcae64

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Obesity e-Lab is a unique, secure environment for producing, sharing, communicating and finding obesity research between epidemiologists, public health researchers and social scientists. Features of e-Lab: - Tools to share: it enables social and biomedical researchers to share data, information and analytical tools for obesity research. First, it will create a portal to provide access to the platform and facilitate social networking. - Navigation tools: Second, it will generate search and navigation tools for researchers in academic, NHS or local government organizations to find data from administrative and secure data services, via social science views of health datasets, and health science views of social datasets. Within the NHS, e-Lab links records from a variety of administrative and health (and social) care sources for broadly-specified obesity research, and make pseudonymised extracts of NHS-linked datasets available via the portal. - Analytical tools: Third, it will develop analytical tools, focused on: i) easy, reliable and privacy-protecting transformation of geo-codes in health records to other geographies and area-based social and economic measures; ii) epidemiological extensions to geographical information systems; iii) growth-standardization of child obesity measures. The tool-building will employ as much existing software as possible, focusing on the provision of simple, intuitive interfaces to proven software to make it easy for social or biomedical researchers to use collaboratively.

Proper citation: National Center for e-Social Science: Obesity e-Lab (RRID:SCR_001796) Copy   

•   Source: SciCrunch Registry

http://www.oege.org/

Portal for researchers to locate information relevant to interpretation and follow-up of human genetic epidemiological discoveries, including: a range of population and case and family genetic epidemiological studies, relevant gene and sequence databases, genetic variation databases, trait measurement, resource labs, journals, software, general information, disease genes and genetic diversity.

Proper citation: Online Encyclopedia for Genetic Epidemiology studies (RRID:SCR_001825) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.10/bioc/html/spade.html

An analysis and visualization software tool for high dimensional flow cytometry data that organizes cells into hierarchies of related phenotypes.

Proper citation: SPADE (RRID:SCR_001810) Copy   

•   Source: SciCrunch Registry

http://www.nesys.uio.no/Micro3D/

The Micro3D 2004 is a software for 3-D reconstruction, visualization, and analysis of neuronal populations and brain regions. Micro3D generates geometric models from line and point coded data sets, representing labeled objects such as cell bodies or axonal plexuses, and boundaries of brain regions in serial sections. Data are typically imported from image-combining computerized microscopy systems, such as Neurolucida (MicroBrightField, Colchester, VT). The models may be rotated and zoomed in real-time. Surfaces are re-synthesized on the basis of stacks of contour lines. Clipping is used for defining section-independent subdivisions of the model. Flattening of sheets of points in curved layers (e.g., neurons in a cortical lamina) facilitates inspection of complicated distribution patterns. Micro3D computes color-coded density maps, and allows production of mpeg videos. Micro3D 2004 runs on LINUX PCs equipped with Open Inventor. It performs operations similar to the Silicon Graphics based version that has been used in more than 25 investigations and in various species, ranging from insects to monkeys, at the LM- and EM-level. Sponsors:Micro 3D was developed with support from The Research Council of Norway and The Oslo Research Park / FORNY.

Proper citation: Neural Systems and Graphics Computing Laboratory: Micro3D Software (RRID:SCR_001811) Copy   

•   Source: SciCrunch Registry

http://www.kindai.ac.jp/english/

Private non-sectarian and coeducational university based in Higashiosaka, Osaka, Japan.

Proper citation: Kindai University; Osaka; Japan (RRID:SCR_001814) Copy   

•   Source: SciCrunch Registry

http://sammeth.net/confluence/display/ASTA/2+-+Download

Tool that extracts and displays alternative splicing (AS) events from a given genomic annotation of exon-intron gene coordinates. By comparing all given transcripts, it detects the variations in their splicing structure and identifies all AS events (like exon skipping, alternate donor, etc) by assigning to each of them an AS code. It provides a visual summary of the AS landscape in the analyzed dataset, the possibility to browse the results on the UCSC website or to download them in GTF or ASTA format. You can use AStalavista for any genome by providing your own annotation set, the identifier of your gene(s) of interest, or analyze the AS landscape of reference annotation datasets like Gencode, RefSeq, Ensembl, FlyBase, etc.

Proper citation: AStalavista (RRID:SCR_001815) Copy   

•   Source: SciCrunch Registry

http://www.openarchives.org/ore/

Initiative which defines standards for the description and exchange of aggregations of Web resources. The intent of the effort is to develop standards that generalize across all web-based information including the increasing popular social networks of web 2.0. The goal of these standards is to expose the rich content in these aggregations (sometimes called compound digital objects, they may combine distributed resources with multiple media types including text, images, data, and video) to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. The specific aim of the ORE effort is to promote (through creation or endorsement) effective and consistent mechanisms which: facilitate discovery of compound digital objects; reference (or link to) these objects (as well as parts thereof); obtain a variety of disseminations of these objects; aggregate and disaggregate objects; and enable processing of objects by automated agents.

Proper citation: Open Archives Initiative - Object Reuse and Exchange Initiative (RRID:SCR_006982) Copy   

•   Source: SciCrunch Registry

https://github.com/dgleich/matlab-bgl

A Matlab package for working with graphs that uses the Boost Graph Library to efficiently implement the graph algorithms. MatlabBGL is designed to work with large sparse graphs with hundreds of thousands of nodes.

Proper citation: matlab-bgl (RRID:SCR_006981) Copy   

•   Source: SciCrunch Registry

http://www.psort.org

Portal to the PSORT family of computer programs for the prediction of protein localization sites in cells, as well as other datasets and resources relevant to localization prediction. The standalone versions are available for download for larger analyses.

Proper citation: Psort (RRID:SCR_007038) Copy   

•   Source: SciCrunch Registry

http://www.parkinsons.org.uk/content/parkinsons-uk-brain-bank

A brain bank of the United Kingdom which collects human brains for Parkinsons disease research. The collection is comprised of brain, spinal cord and a sample of cerebrospinal fluid from people with and without Parkinson's after death. Researchers can fill out a brain tissue request form to order samples from the bank.

Proper citation: Parkinsons UK Brain Bank (RRID:SCR_007030) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bamstats/

A GUI desktop tool for calculating and displaying metrics to assess the success of Next Generation Sequencing mapping tools. BAMstats is written in Java and based around the Picard API.

Proper citation: BAMStats (RRID:SCR_006973) Copy   

•   Source: SciCrunch Registry

http://med.stanford.edu/narcolepsy.html

The Stanford Center for Narcolepsy was established in the 1980s as part of the Department of Psychiatry and Behavioral Sciences. Today, it is the world leader in narcolepsy research with more than 100 articles on narcolepsy to its name. The Stanford Center for Narcolepsy was the first to report that narcolepsy-cataplexy is caused by hypocretin (orexin) abnormalities in both animal models and humans. Under the direction of Drs. Emmanuel Mignot and Seiji Nishino, the Stanford Center for Narcolepsy today treats several hundred patients with the disorder each year, many of whom participate in various research protocols. Other research protocols are conducted in animal models of narcolespy. We are always looking for volunteers in our narcolepsy research studies. We are presently recruiting narcoleptic patients for genetic studies, drug clinical trials, hypocretin measurement studies in the CSF and functional MRI studies. Monetary gifts to the Center for Narcolepsy are welcome. If you wish to make the ultimate gift, please consider participating in our Brain Donation Program. To advance our understanding of the cause, course, and treatment of narcolepsy, in 2001 Stanford University started a program to obtain human brain tissue for use in narcolepsy research. Donated brains provide an invaluable resource and we have already used previously donated brains to demonstrate that narcolepsy is caused by a lack of a very specific type of cell in the brain, the hypocretin (orexin) neuron. While the brain donations do not directly help the donor, they provide an invaluable resource and a gift to others. The real answers as to what causes or occurrs in the brain when one has narcolepsy will only be definitively understood through the study of brain tissue. Through these precious donations, narcolepsy may eventually be prevented or reversible. We currently are seeking brains from people with narcolepsy (with cataplexy and without), idiopathic hypersomnia and controls or people without a diagnosed sleep disorder of excessive sleepiness. Control brains are quite important to research, as findings must always be compared to tissue of a non-affected person. Friends and loved ones of people who suffer with narcoleps may wish to donate to our program to help fill this very important need. Refer to the Movies tab for movies of Narcolepsy / Cataplexy.

Proper citation: Stanford Center for Narcolepsy (RRID:SCR_007021) Copy   

•   Source: SciCrunch Registry

http://www.uwyo.edu/

Public land grant research university in Laramie, Wyoming.

Proper citation: University of Wyoming; Wyoming; USA (RRID:SCR_007020) Copy   

•   Source: SciCrunch Registry

http://prodom.prabi.fr/

Comprehensive set of protein domain families automatically generated from UniProt Knowledge Database. Automated clustering of homologous domains generated from global comparison of all available protein sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ProDom (RRID:SCR_006969) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiobank/database/gaitdb/

A mini-collection of human gait data that was constructed as a teaching resource for an intensive course (The Modern Science of Human Aging, conducted at MIT) that includes walking stride interval time series from 15 subjects: 5 healthy young adults (23 - 29 years old), 5 healthy old adults (71 - 77 years old), and 5 older adults (60 - 77 years old) with Parkinson's disease. For each subject, two columns of data are included. The first column is time (in seconds) and the second is the stride interval (variously known as stride time, gait cycle duration, and time between successive heel strikes of the same foot). The same data are also available as standard PhysioBank-format annotation (.str) and header (.hea) files, for viewing or analysis using PhysioToolkit software from this site. Subjects walked continuously on level ground around an obstacle-free path. The stride interval was measured using ultra-thin, force sensitive resistors placed inside the shoe. The analog force signal was sampled at 300 Hz with a 12 bit A/D converter, using an ambulatory, ankle-worn microcomputer that also recorded the data. Subsequently, the time between foot-strikes was automatically computed. The method for determining the stride interval is a modification of a previously validated method that has been shown to agree with force-platform measures, a gold standard. Data were collected from the healthy subjects as they walked in a roughly circular path for 15 minutes, and from the subjects with Parkinson's disease as they walked for 6 minutes up and down a long hallway.

Proper citation: Gait in Aging and Disease Database (RRID:SCR_006886) Copy   

•   Source: SciCrunch Registry

http://www.nichd.nih.gov/research/supported/seccyd/Pages/overview.aspx

It is the most comprehensive child care study conducted to date to determine how variations in child care are related to children''s development. The NICHD SECCYD is a longitudinal study initiated by The National Institute of Child Health and Human Development (NICHD) in 1989 to answer the many questions about the relationship between child care experiences and characteristics and children''s developmental outcomes. After a thorough scientific review, the NICHD selected a research team located at universities across the U.S., and at the NICHD, together providing multiple perspectives on and interests in child care research. The network was led and managed by a Steering Committee which included an independent chairperson, one representative from each of the grantee sites, one representative from the data center and one representative from NICHD. The Steering Committee established policies and procedures that governed the operations of the network, including its publication procedures. The progress of the study was monitored by NICHD and by the Steering Committee with guidance from an Advisory Board which was nominated by the Director of NICHD. This team of researchers worked cooperatively to design and implement the study, and in 1991, enrolled a very diverse sample of children and their families at 10 locations across the U.S. The NICHD SECCYD is characterized by a complex and detailed study design which takes into account many variables, including characteristics of the child care and the family environment. Researchers assessed children''s development using multiple methods (trained observers, interviewers, questionnaires, and testing) and measuring many facets of children''s development (social, emotional, intellectual, language development, behavioral problems and adjustment, and physical health). The 1,364 children and their families enrolled in the study were followed from birth to age 3 years during Phase I of the study from 1991-1994. Phase II of the study was conducted between 1995-2000 to follow the 1226 children and families continuing to participate from age 54 months through their second year in school. Phase III of the study was conducted between 2000 - 2005 to follow over 1100 of the children through their seventh year in school. Phase IV was conducted between 2006 2007 to follow over 1000 of the original families through age 15. The NICHD SECCYD was conducted by a network of investigators, the NICHD Early Child Care Research Network. You may view information regarding data assessments, study publications, as well as a listing of the study researchers and committee members on the study website located at http://secc.rti.org. Qualified researchers are able to become affiliates with the study to utilize data from all phases of the study. As of January 2009, the Inter-University Consortium for Political and Social Research (ICPSR) at the University of Michigan assumed responsibility for the administration of data use agreements for the Phase I IV data. The ICPSR Data Use Agreement can be found at the following location: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/21940/documentation. If you have questions regarding the ICPSR process, please contact Russel Hathaway at rhataway (at) umich.edu.

Proper citation: NICHD SECCYD (RRID:SCR_006920) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/2.9/bioc/html/RamiGO.html

Software package with an R interface sending requests to AmiGO visualize, retrieving DAG GO trees, parsing GraphViz DOT format files and exporting GML files for Cytoscape. Also uses RCytoscape to interactively display AmiGO trees in Cytoscape.

Proper citation: RamiGO (RRID:SCR_006922) Copy   

•   Source: SciCrunch Registry

http://www.seqan.de/projects/razers/

A read mapping software program with adjustable sensitivity based on counting q-grams. RazerS 3 supports shared-memory parallelism, an additional seed-based filter with adjustable sensitivity, a much faster, banded version of the Myers? bit-vector algorithm for verification, memory saving measures and support for the SAM output format. This leads to a much improved performance for mapping reads, in particular long reads with many errors.

Proper citation: RazerS (RRID:SCR_006889) Copy   

•   Source: SciCrunch Registry