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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
The Pediatric Brain Tumor Foundation (PBTF) is a nonprofit organization dedicated to eradicating childhood brain tumors and providing support to families. It is a 501(c)(3) nonprofit charitable organization that seeks to * find the cause of and cure for childhood brain tumors by supporting medical research * increase public awareness about the severity and prevalence of childhood brain tumors * aid in the early detection and treatment of childhood brain tumors * support a national database on all primary brain tumors * provide educational and emotional support for children and families affected by this life-threatening disease. As the world''s largest non-governmental source of funding for childhood brain tumor research, we''re dedicated to not only eradicating this disease, but to providing support to families. Our educational resources deliver comfort and hope to families in need of information, and our college scholarship program gives brain tumor survivors a boost for the future. Through our efforts to raise public awareness, more attention has been focused on this deadly disease. Whether addressing congressional briefings or funding international conferences, the PBTF is an unwavering advocate. Together, we''re making a difference in the lives of children with brain tumors. And with your continued help, we will cure the kids!
Proper citation: Pediatric Brain Tumor Foundation (RRID:SCR_004755) Copy
http://www.ebi.ac.uk/Tools/webservices/services/dbfetch
WSDbfetch is a webservice implementation of Dbfetch, a generic DB retrieval system that allows you to retrieve entries from various up-to-date biological databases using entry identifiers or accession numbers. It aims to provide programmatic access for sequence retrieval. This involves a service running on a SOAP server responding to remote client invocations. This is equivalent to the CGI based dbfetch service and like the CGI service a request can return a maximum of 200 entries.
Proper citation: WSDbfetch (SOAP) (RRID:SCR_004593) Copy
http://www.genedb.org/Homepage/Tbruceibrucei927
Database of the most recent sequence updates and annotations for the T. brucei genome. New annotations are constantly being added to keep up with published manuscripts and feedback from the Trypanosomatid research community. You may search by Protein Length, Molecular Mass, Gene Type, Date, Location, Protein Targeting, Transmembrane Helices, Product, GO, EC, Pfam ID, Curation and Comments, and Dbxrefs. BLAST and other tools are available. T. brucei possesses a two-unit genome, a nuclear genome and a mitochondrial (kinetoplast) genome with a total estimated size of 35Mb/haploid genome. The nuclear genome is split into three classes of chromosomes according to their size on pulsed-field gel electrophoresis, 11 pairs of megabase chromosomes (0.9-5.7 Mb), intermediate (300-900 kb) and minichromosomes (50-100 kb). The T. brucei genome contains a ~0.5Mb segmental duplication affecting chromosomes 4 and 8, which is responsible for some 75 gene duplicates unique to this species. A comparative chromosome map of the duplicons can be accessed here (PubmedID 18036214). Protozoan parasites within the species Trypanosoma brucei are the etiological agent of human sleeping sickness and Nagana in animals. Infections are limited to patches of sub-Saharan Africa where insects vectors of the Glossina genus are endemic. The most recent estimates indicate between 50,000 - 70,000 human cases currently exist, with 17 000 new cases each year (WHO Factsheet, 2006). In collaboration with GeneDB, the EuPathDB genomic sequence data and annotations are regularly deposited on TriTrypDB where they can be integrated with other datasets and queried using customized queries.
Proper citation: GeneDB Tbrucei (RRID:SCR_004786) Copy
At the Website of the Causal Cognition Group (CCG) of the University of M��laga, you may read information about our group, its members, our research, main activities, and more. Our main interests are cognitive psychology and learning, and more recently cognitive neuroscience, physiological correlates of learning and cognitive control. This site is in constant evolution... though there are things that hardly change: Cognitio rei per causas.
Proper citation: Causal Cognition Group (RRID:SCR_004780) Copy
http://www.ncbi.nlm.nih.gov/probe
Public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications including genotyping, gene expression studies, SNP discovery, genome mapping, and gene silencing. Probe records contain information on reagent distributors, probe effectiveness, and computed sequence similarities. The database is constantly updated, with over 11,000,000 probes available. Users may deposit their data into NCBI Probe Database.
Proper citation: NCBI Probe (RRID:SCR_004816) Copy
http://www.protocol-online.org/
Database of research protocols in a variety of life science fields, it contains protocols contributed by worldwide researchers as well as links to web protocols hosted by worldwide research labs, biotech companies, personal web sites. The data is stored in a MySql relational database. Protocol Online also hosts discipline specific discussion forums (BioForum), and provides a free PubMed search and alerting service (PubAlert).
Proper citation: Protocol Online - Your labs reference book (RRID:SCR_004937) Copy
A biomaterial supply resource which collects, stores, and distributes donated tissue to research scientists around the world. Collection occurs through the an anatomical donor program which accepts tissue donation from people with neurological/ psychiatric disorders. The Center also provides a continuous boost to biomedical research by providing high quality and quantity of pre- and post-mortem brains, spinal cords, cerebrospinal fluid (CSF), serum, blood cells and urine to use in investigations of neurological and psychiatric diseases. Scientists without a clinical site may use the Center''s readily available, high quality banked specimens.
Proper citation: Human Brain and Spinal Fluid Resource Center (RRID:SCR_004811) Copy
Wikipedia is a free, web-based, collaborative, multilingual encyclopedia project supported by the non-profit Wikimedia Foundation. Its 19 million articles (over 3.6 million in English) have been written collaboratively by volunteers around the world, and almost all of its articles can be edited by anyone with access to the site. As of July 2011, there were editions of Wikipedia in 282 languages. Wikipedia was launched in 2001 by Jimmy Wales and Larry Sanger and has become the largest and most popular general reference work on the Internet, ranking around seventh among all websites on Alexa and having 365 million readers. The name Wikipedia was coined by Larry Sanger and is a combination of wiki (a technology for creating collaborative websites, from the Hawaiian word wiki, meaning quick) and encyclopedia. Wikipedia''s departure from the expert-driven style of encyclopedia building and the large presence of unacademic content has been noted several times. Some have noted the importance of Wikipedia not only as an encyclopedic reference but also as a frequently updated news resource because of how quickly articles about recent events appear. Although the policies of Wikipedia strongly espouse verifiability and a neutral point of view, critics of Wikipedia accuse it of systemic bias and inconsistencies (including undue weight given to popular culture), and allege that it favors consensus over credentials in its editorial processes. Its reliability and accuracy are also targeted. A 2005 investigation in Nature showed that the science articles they compared came close to the level of accuracy of Encyclopedia Britannica and had a similar rate of serious errors.
Proper citation: Wikipedia (RRID:SCR_004897) Copy
Wiki forum providing an extensive catalogue of manually categorized analysis tools, technologies and information about service providers, maintained by the members of the SEQanswers community. * Minimum Information about a high-throughput Sequencing Experiment * Software Hub: The place to add to, edit or browse the software database on SEQwiki. * Service Providers: Browse or edit the list of NGS service facilities. * How-to Hub: Mini reviews for the most used tools broken down by common tasks. * Developers Hub: The place to discuss the development of the SEQwiki site and its associated data. See also publishing SEQ*. * Publications: Publication about SEQwiki and selected citations.
Proper citation: SEQanswers Wiki (RRID:SCR_004810) Copy
http://www.ncbi.nlm.nih.gov/sra
Repository of raw sequencing data from next generation of sequencing platforms including including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. In addition to raw sequence data, SRA now stores alignment information in form of read placements on reference sequence. Data submissions are welcome. Archive of high throughput sequencing data,part of international partnership of archives (INSDC) at NCBI, European Bioinformatics Institute and DNA Database of Japan. Data submitted to any of this three organizations are shared among them.
Proper citation: NCBI Sequence Read Archive (SRA) (RRID:SCR_004891) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 2nd, 2023. Sequence composition based classifier for metagenomic sequences. It works by capturing signatures of each sequence based on the sequence composition. Each sequence is modeled as a walk in a de Bruijn graph with underlying Markov chain properties. ClaMS captures stationary parameters of the underlying Markov chain as well as structural parameters of the underlying de Bruijn graph to form this signature. In practice, for each sequence to binned, such a signature is computed and matched to similar signatures computed for the training sets. The best match that also qualifies the normalized distance cut-off wins. In the case that the best match does not qualify this cut-off, the sequence remains un-binned.
Proper citation: Classifier for Metagenomic Sequences (RRID:SCR_004929) Copy
Collaboration environment for sharing variable sets and statistical methods for analysis across social science survey data. MethodBox enables you to browse and download datasets, share methods and scripts, find fellow researchers with similar interests and share your knowledge. MethodBox source available on Google code. Finding the variables you need to support a particular research question can be time consuming. Wading through hundreds of pages of PDF documents, codebooks and metadata and then trying to find the exact column in a huge spreadsheet can be very frustrating. MethodBox gets you to the variables faster and lets you download only the data you need. You can also share your scripts with others to allow them to adopt best practice quicker than before.
Proper citation: MethodBox (RRID:SCR_004928) Copy
http://www.anatomyatlases.org/
An anatomy digital health sciences library to educate patients, healthcare providers, and students in a free and anonymous manner while using current, authoritative, trustworthy health information. Anatomy Atlases addresses the continuum of anatomy education and may be of use primarily to three distinct populations. It is written for and intended primarily for use by Medical Students, Residents, Fellows, or Attending Physicians studying anatomy. Other Health Care Providers studying anatomy should find it useful. Finally, Patients (including patient''s family members or friends) may find it helpful. Anatomy Textbooks and Anatomy Atlases: * Atlas of Human Anatomy * Atlas of Human Anatomy in Cross Section * Illustrated Encyclopedia of Human Anatomic Variation * Atlas of Microscopic Anatomy - A Functional Approach: Companion to Histology and Neuroanatomy: Second Edition * Anatomy of First Aid - A Case Study Approach * Lessons From a Bone Box Lessons From a Bone Box
Proper citation: Anatomy Atlases (RRID:SCR_004888) Copy
http://www.computationalbioenergy.org/parallel-meta.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Open source pipeline for metagenomic data analysis, which enables efficient and parallel analysis of multiple metagenomic datasets and visualization of results for multiple samples. Can perform rapid data mining among microbial community data for comparative taxonomic and functional analysis.
Proper citation: Parallel-META (RRID:SCR_000121) Copy
http://fulxie.0fees.us/?type=reference&ckattempt=1
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1,2023. Web-based tool for evaluating and screening reference genes from extensive experimental datasets. It integrates major computational programs (geNorm, Normfinder, BestKeeper, and the comparative delta-Ct method) to compare and rank the tested candidate reference genes. Based on the rankings from each program, it assigns an appropriate weight to an individual gene and calculated the geometric mean of their weights for the overall final ranking., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: RefFinder (RRID:SCR_000472) Copy
http://purl.bioontology.org/ontology/DOID
Comprehensive hierarchical controlled vocabulary for human disease representation.Open source ontology for integration of biomedical data associated with human disease. Disease Ontology database represents comprehensive knowledge base of inherited, developmental and acquired human diseases.
Proper citation: Human Disease Ontology (RRID:SCR_000476) Copy
http://purl.bioontology.org/ontology/GAZ
THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Description not available.
Proper citation: Gazetteer (RRID:SCR_000473) Copy
Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.
Proper citation: AETIONOMY (RRID:SCR_000232) Copy
http://www.nationalmssociety.org/index.aspx
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Society helps people affected by Multiple Sclerosis by funding cutting-edge research, driving change through advocacy, facilitating professional education, and providing programs and services that help people with MS and their families move their lives forward.
Proper citation: National MS Society (RRID:SCR_000104) Copy
http://deweylab.biostat.wisc.edu/rsem/
Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.
Proper citation: RSEM (RRID:SCR_000262) Copy
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