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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   

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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   

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http://www.uwyo.edu/

Public land grant research university in Laramie, Wyoming.

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

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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   

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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   

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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

http://scicrunch.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2019.

Database for those interested in the consequences of Factor VIII genetic variation at the DNA and protein level, it provides access to data on the molecular pathology of haemophilia A. The database presents a review of the structure and function of factor VIII and the molecular genetics of haemophilia A, a real time update of the biostatistics of each parameter in the database, a molecular model of the A1, A2 and A3 domains of the factor VIII protein (based on the crystal structure of caeruloplasmin) and a bulletin board for discussion of issues in the molecular biology of factor VIII. The database is completely updated with easy submission of point mutations, deletions and insertions via e-mail of custom-designed forms. A methods section devoted to mutation detection is available, highlighting issues such as choice of technique and PCR primer sequences. The FVIII structure section now includes a download of a FVIII A domain homology model in Protein Data Bank format and a multiple alignment of the FVIII amino-acid sequences from four species (human, murine, porcine and canine) in addition to the virtual reality simulations, secondary structural data and FVIII animation already available. Finally, to aid navigation across this site, a clickable roadmap of the main features provides easy access to the page desired. Their intention is that continued development and updating of the site shall provide workers in the fields of molecular and structural biology with a one-stop resource site to facilitate FVIII research and education. To submit your mutants to the Haemophilia A Mutation Database email the details. (Refer to Submission Guidelines)

Proper citation: HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site (RRID:SCR_006883) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/artfastqgen/

Software to evaluate and improve the accuracy of sequencing error under different experimental conditions. It can identify which components of a system may be suboptimal and which regions of the genome may be problematic.

Proper citation: ArtificialFastqGenerator (RRID:SCR_006880) Copy   

•   Source: SciCrunch Registry

http://seqbarracuda.sourceforge.net/

A sequence mapping software that utilizes the massive parallelism of graphics processing units to accelerate the inexact alignment of short sequence reads to a particular location on a reference genome. It can align a paired-end library containing 14 million pairs of 76bp reads to the Human genome in about 27 minutes (from fastq files to SAM alignment) using a ��380 NVIDIA Geforce GTX 680*. The alignment throughput can be boosted further by using multiple GPUs (up to 8) at the same time. Being based on BWA (http://bio-bwa.sf.net) from the Sanger Institute, BarraCUDA delivers a high level of alignment fidelity and is comparable to other mainstream alignment programs. It can perform gapped alignment with gap extensions, in order to minimise the number of false variant calls in re-sequencing studies.

Proper citation: BarraCUDA (RRID:SCR_006881) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/crop-tingchenlab/

A clustering tool designed mainly for Metagenomics studies, which clusters 16S rRNA sequences into Operational Taxonomic Units (OTU). By using a Gaussian Mixture model, CROP can automatically determine the best clustering result for 16S rRNA sequences at different phylogenetic levels without setting a hard cutoff threshold as hierarchical clustering does. Yet, at the same time, it is able to manage large datasets and to overcome sequencing errors.

Proper citation: CROP (RRID:SCR_006916) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/p/fastsemsim/home/Home/

A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: FastSemSim (RRID:SCR_006919) Copy   

•   Source: SciCrunch Registry

http://www.cjdats.org

A cooperative research program to explore the issues related to the complex system of offender treatment services. Nine research centers and a Coordinating Center were created in partnership with researchers, criminal justice professionals, and drug abuse treatment practitioners to form a national research infrastructure. The establishment of CJ-DATS is an outstanding example of cooperation among Federal agencies with the research community... We need to understand how to provide better drug treatment services for criminal justice offenders to alter their drug use and criminal behavior. - Dr. Nora Volkow, Director of NIDA. CJ-DATS PHASE I In 2002, NIDA launched the National Criminal Justice����������Drug Abuse Treatment Studies (CJ-DATS). CJ-DATS is a multisite research program aimed at improving the treatment of offenders with drug use disorders and integrating criminal justice and public health responses to drug involved offenders. From 2002 through 2008, CJ-DATS researchers from 9 research centers, a coordinating center, and NIDA worked together with federal, state, and local criminal justice partners to develop and test integrated approaches to the treatment of offenders with drug use disorders. The areas that were studied included: * Assessing Offender Problems * Measuring Progress in Treatment and Recovery * Linking Criminal Justice and Drug Abuse Treatment * Adolescent Interventions * HIV and Hepatitis Risk Reduction * Understanding Systems CJ-DATS PHASE II In 2008, CJ-DATS began to focus on the problems of implementing research-based practices drug treatment practices. This research concerns the organizational and systems processes involved in implementing valid, evidence-based practices to reduce drug use and drug-related recidivism for individuals in the criminal justice system. 12 CJ-DATS Research Centers are conducting implementation research in three primary domains: * Research to improve the implementation of evidence-based assessment processes for offenders with drug problems * Implementing effective treatment for drug-involved offenders * Implementing evidence-based interventions to improve an HIV continuum-of-care for offenders

Proper citation: Criminal Justice Drug Abuse Treatment Studies (RRID:SCR_006996) Copy   

•   Source: SciCrunch Registry

http://www.stanleyresearch.org/dnn/Default.aspx?tabid=203

The Stanley Medical Research Institute (SMRI) is a nonprofit organization supporting research on the causes of, and treatments for, schizophrenia and bipolar disorder. Since it began in 1989, SMRI has supported more than $300 million in research in over 30 countries around the world. It is the largest nongovernmental source of funds for research on these diseases in the United States. Schizophrenia and bipolar disorder are the most important psychiatric disorders in the United States, affecting more than 4 million people at any given time. Until recent years, little research had been done on these diseases, and the treatment of them was unsatisfactory. The neuroscience revolution has brought with it great opportunities for increased understanding of brain diseases such as schizophrenia and bipolar disorder. SMRI is on the leading edge of this exciting research. Approximately 75 percent of SMRI expenditures goes towards the development of new treatments for schizophrenia and bipolar disorder. The remaining funds are used for research on the causes of these diseases. SMRI has a close relationship with and is the supporting organization for the Treatment Advocacy Center (TAC). The Treatment Advocacy Center is a nonprofit organization dedicated to eliminating barriers to the timely and effective treatment of severe psychiatric disorders. TAC promotes laws, policies, and practices for the delivery of psychiatric care and supports the development of innovative treatments for and research into the causes of severe and persistent psychiatric disorders, such as schizophrenia and bipolar disorder.

Proper citation: Stanley Medical Research Institute (RRID:SCR_007047) Copy   

•   Source: SciCrunch Registry

http://ardb.cbcb.umd.edu

The goals of Antibiotic Resistance Genes Database (ARGB) are to provide a centralized compendium of information on antibiotic resistance, to facilitate the consistent annotation of resistance information in newly sequenced organisms, and also to facilitate the identification and characterization of new genes. ARGB contains six types of database groups: - Resistance Type: This database contains information, such as resistance profile, mechanism, requirement, epidemiology for each type. - Resistance Gene: This database contains information, such as resistance profile, resistance type, requirement, protein and DNA sequence for each gene.This database only includes NON-REDUNDANT, NON-VECTOR, COMPLETE genes. - Antibiotic: This database contains information, such as producer, action mechanism, resistance type, for each gene. - Resistance Gene(NonRD): This database contains the same information as Resistance Gene. It does NOT include NON-REDUNDANT, NON-VECTOR genes, but includes INCOMPLETE genes. - Resistance Gene(ALL): This database contains the same information as Resistance Gene. It includes all REDUNDANT, VECTOR AND INCOMPLETE genes. - Resistance Species: This database contains resistance profile and corresponding resistance genes for each species. Furthermore, ARDB also contians three types BLAST database: - Resistance Genes Complete: Contains only NON-REDUNDANT, NON-VECTOR, COMPLETE genes sequences. - Resistance Genes Non-redundant: Contains NON-REDUNDANT, NON-VECTOR, COMPLETE, INCOMPLETE genes sequences. - Resistance Genes All: Contains all REDUNDANT, VECTOR, COMPLETE, INCOMPLETE genes sequences. Lastly, ARDB provides four types of Analytical tools: - Normal BLAST: This function allows an user to input a DNA or protein sequence, and find similar DNA (Nucleotide BLAST) or protein (Protein BLAST) sequences using blastn, blastp, blastx, tblastn, tblastx - RPS BLAST: A web RPSBLAST (RPS BLAST) interface is provided to align a query sequence against the Position Specific Scoring Matrix (PSSM) for each type. Normally, this will give the same annotation information as using regular BLAST mentioned above. - Multiple Sequences BLAST (Genome Annotation): This function allows an user to annotate multiple (less than 5000) query sequences in FASTA format. - Mutation Resistance Identification: This function allows an user to identify mutations that will cause potential antibiotic resistance, for 12 genes (16S rRNA, 23S rRNA, gyrA, gyrB, parC, parE, rpoB, katG, pncA, embB, folP, dfr). ������ :Sponsors: ARDB is funded by Uniformed Services University of the Health Sciences, administered by the Henry Jackson Foundation. :

Proper citation: Antibiotic Resistance Genes Database (RRID:SCR_007040) Copy   

•   Source: SciCrunch Registry

http://xin.cz3.nus.edu.sg/group/drt/dart.asp

Database that provides comprehensive information about adverse effect targets of drugs described in the literature, including information about known drug adverse reaction targets, functions and properties. Moreover, proteins involved in adverse effect targets of chemicals not yet confirmed as adverse drug reaction (ADR) targets are also included as potential targets. Associated references are also included. This database gives physiological function of each target, binding drugs / agonists / antagonists / activators / inhibitors, IC(50) values of the inhibitors, corresponding adverse effects, and type of ADR induced by drug binding to a target. Cross-links to other databases are also introduced to facilitate the access of information about the sequence, 3-dimensional structure, function, and nomenclature of each target along with drug/ligand binding properties, and related literature. Each entry can be retrieved through multiple search methods including target name, target physiological function, adverse effect, ligand name, and biological pathways. A special page is provided for contribution of new or additional information. Function for ADR-target prediction by SVMDART: Submit protein primary sequence for ADR-related protein prediction.

Proper citation: DART - Drug Adverse Reaction Targets (RRID:SCR_007041) Copy   

•   Source: SciCrunch Registry