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http://www.ucsf.edu/

Public research university in San Francisco, California. Part of University of California system. Dedicated entirely to health sciences. Major center of medical and biological research and teaching. Ranked as one of top universities in biomedical field in USA and around world.

Proper citation: University of California at San Francisco; California; USA (RRID:SCR_010605) Copy   

•   Source: SciCrunch Registry

http://htsvipr.sourceforge.net/

A software program to screen for sequence variants (SNPs, deletions) in sequence data generated by high-throughput-sequencing platforms.

Proper citation: vipR (RRID:SCR_010685) Copy   

•   Source: SciCrunch Registry

http://ascb.org/

The American Society for Cell Biology (ASCB) was founded in 1960 to bring the varied facets of cell biology together. The Society''s purpose is to promote and develop the field of cell biology. Its objectives are achieved through the scholarly dissemination of research at its Annual Meeting and Summer Meetings and in its publications. The ASCB strives to ensure the future of basic scientific research by providing training and development opportunities for students and young investigators, and also by keeping Congress and the American public informed about the importance of biological research. Since its founding, the ASCB has grown to approximately 10,000 members in the United States and more than 65 countries around the world. About 25% of ASCB members are international. Current members come from universities, colleges, professional schools, government, industry, and public and private research institutions. Membership in the ASCB is open to all research scientists, students, educators (high school, undergraduate, and graduate level), and technicians who have education or research experience in cell biology or an allied field.

Proper citation: American Society for Cell Biology (RRID:SCR_010600) Copy   

•   Source: SciCrunch Registry

http://www.genome.umd.edu/masurca.html

A whole genome assembly software that combines the efficiency of the de Bruijn graph and Overlap-Layout-Consensus (OLC) approaches., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MaSuRCA (RRID:SCR_010691) Copy   

•   Source: SciCrunch Registry

http://www.bu.edu/alzresearch/index.html

The goal of the Alzheimers Disease Center is to help reduce the human and economic costs associated with Alzheimers disease through the advancement of knowledge. The primary missions of the Center are to: conduct and facilitate cutting-edge Alzheimers disease research; enhance clinical care for Alzheimers disease patients and their families; and provide education regarding Alzheimers disease to both professional and lay audiences. The Center is made up of a multidisciplinary group of professionals dedicated to research, clinical care, and education.

Proper citation: Boston University Alzheimer's Disease Center (RRID:SCR_010692) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.research.nicta.com.au/software/gossamer/

A software application for the de novo assembly of genomes from fragments of DNA that specifically attacks the question of scalability.

Proper citation: Gossamer (RRID:SCR_010612) Copy   

•   Source: SciCrunch Registry

http://neurolog.polytech.unice.fr/doku.php?id=neurolog

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. The NeuroLOG consortium is addressing: *Management and access of partly structured data, heterogeneous and distributed in an open environment. *Access control and protection of private medical data. *Control of workflows implied in complex computing process on grid infrastructures. *Extraction and quantification of relevant parameters for different pathologies: Multiple sclerosis, Brain Vascular Stroke, Brain tumors Four application pipelines have been proposed in the context of the project. The pipelines are formalized using the Scufl data flow language. *Multiple Sclerosis image analysis pipelines *Brain Stroke application pipeline (from GIN) *Stroke / tumours Anacom application pipeline (from IFR49) Different softwares developed and/or used in this project are presented., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NeuroLOG (RRID:SCR_010582) Copy   

•   Source: SciCrunch Registry

http://www.biodatomics.com/

An open source commercial platform for genomic analysis. Included is a home brewed workflow engine and code provenance tracking, no data provenance tracking. Multiple tools like HMMR and Blast are included in the platform with an architecture that allows others to be plugged in and the code to be modified. Data storage is handled by hadoop clusters.

Proper citation: Biodatomics (RRID:SCR_010464) Copy   

•   Source: SciCrunch Registry

http://pathema.jcvi.org/Pathema/index.html

Pathema is one of the eight Bioinformatics Resource Centers designed to serve as a core resource for the bio-defense and infectious disease research community. Pathema strives to support basic research and accelerate scientific progress for understanding, detecting, diagnosing and treating an established set of six target NIAID Category A-C pathogens: Category A priority pathogens; Bacillus anthracis and Clostridium botulinum, and Category B priority pathogens; Burkholderia mallei, Burkholderia pseudomallei, Clostridium perfringens and Entamoeba histolytica. Each target pathogen is represented in one of four distinct clade-specific Pathema web resources and underlying databases developed to target the specific data and analysis needs of each scientific community. All publicly available complete genome projects of phylogenetically related organisms are also represented, providing a comprehensive collection of organisms for comparative analyses. Pathema facilitates the scientific exploration of genomic and related data through its integration with web-based analysis tools, customized to obtain, display, and compute results relevant to ongoing pathogen research. Pathema serves the bio-defense and infectious disease research community by disseminating data resulting from pathogen genome sequencing projects and providing access to the results of inter-genomic comparisons for these organisms. The Pathema BRC contract ends in December 2009. At that time JCVI will cease maintenance of the Pathema web resource and data. The PATRIC team, located at the Virginia Bioinformatics Institute, created and maintains a consolidated BRC for all of the NIAID category A-C priority pathogenic bacteria. The EuPathDB team at the University of Pennsylvania will support all eukaryotic pathogens. Pathema transferred all data and software to PATRIC and EuPathDB for incorporation into their new Web-based bioinformatics resource.

Proper citation: Pathema (RRID:SCR_010585) Copy   

•   Source: SciCrunch Registry

http://www.hupo.org/

The Human Proteome Organisation (HUPO) is an international scientific organization representing and promoting proteomics through international cooperation and collaborations by fostering the development of new technologies, techniques and training.

Proper citation: HUPO - Human Proteome Organisation (RRID:SCR_010707) Copy   

•   Source: SciCrunch Registry

http://www.bcgsc.ca/platform/bioinfo/software/abyss

Software providing de novo, parallel, paired-end sequence assembler that is designed for short reads. ABySS 1.0 originally showed that assembling human genome using short 50 bp sequencing reads was possible by aggregating half terabyte of compute memory needed over several computers using standardized message passing system. ABySS 2.0 is Resource Efficient Assembly of Large Genomes using Bloom Filter. ABySS 2.0 departs from MPI and instead implements algorithms that employ Bloom filter, probabilistic data structure, to represent de Bruijn graph and reduce memory requirements.

Proper citation: ABySS (RRID:SCR_010709) Copy   

•   Source: SciCrunch Registry

http://medicalimaging.wikia.com/wiki/Main_Page

A wiki all about medical imaging. Anyone may contribute who registers. Popular pages include Optical Imaging, Imaging brain function with optical topography, Optical mammography, Introduction to optical imaging, Comparison of time domain and frequency domain systems, Forward problem in diffuse optical imaging, Optical molecular imaging.

Proper citation: Medical Imaging (RRID:SCR_010665) Copy   

•   Source: SciCrunch Registry

http://www.plosone.org/article/info:doi%2F10.1371%2Fjournal.pone.0023501

An algorithm for de novo genome assembly with short paired-end reads.

Proper citation: Meraculous (RRID:SCR_010700) Copy   

•   Source: SciCrunch Registry

http://biomodels.net/miriam/

MIRIAM is an effort to standardise the Minimal Information Required In the Annotation of Models, so that different groups can collaborate on annotating and curating computational models in biology. The goal of the project, initiated by the BioModels.net effort is to produce a set of guidelines suitable for use with any structured format for computational models. MIRIAM is a registered project of the MIBBI (Minimum Information for Biological and Biomedical Investigations). If you are looking for the online resources providing support to MIRIAM Standard, please go to: MIRIAM Resources.

Proper citation: MIRIAM: Minimal Information Required In the Annotation of Models (RRID:SCR_010547) Copy   

•   Source: SciCrunch Registry

http://uberon.org

An integrated cross-species anatomy ontology representing a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data. Uberon consists of over 10000 classes (March 2014) representing structures that are shared across a variety of metazoans. The majority of these classes are chordate specific, and there is large bias towards model organisms and human.

Proper citation: UBERON (RRID:SCR_010668) Copy   

•   Source: SciCrunch Registry

http://dictybase.org/teaching_tools/index.html

Dictyostelium discoideum is a great organism to use to teach cellular biology. It exhibits very interesting behaviors, such as chemotaxis and phagocytosis, that can readily be studied in standard laboratories without the need for expensive equipment. Lists of labs being used in real courses settings and all necessary information for performing those experiments are provided. Major headings: * Dictyostelium cell biology course, by Dr. David Knecht, University of Connecticut * Dictyostelium cell biology, by Dr. Derrick Brazill, Hunter College, New York * Report on the number of cells in a slug, contributed by John Bonner * Practical on chemotaxis, by Dr. Thierry Soldati, University of Geneva * Comments from Researchers * References suggested by contributors

Proper citation: dictyBase - Teaching Tools Using Dictyostelium discoideum (RRID:SCR_010701) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.ubc.ca/matrix2png/

An open visualization tool for the display of matrix data. It is available for download or interactive web use. It is a simple but powerful program for making visualizations of microarray data and many other data types. It generates PNG formatted images from text files of data. It is fast, easy to use, and reasonably flexible. It can be used to generate publication-quality images, or to act as a image generator for web applications. Our group has found it useful for imaging all kinds of matrix-based data, not just microarray data.

Proper citation: Matrix2png (RRID:SCR_010669) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/citexplore/

CiteXplore combines literature search with text mining tools for biology. Search results are cross referenced to EBI applications based on publication identifiers. Links to full text versions are provided where available. The underlying database is populated with data from Medline, Patents, C.B.A. and Citeseer. The site offers a quick search as well as an advanced search. Results of queries can be saved in formats compatible with commonly-used bibliographic management software and exported. We provide a Simple Object Access Protocol (SOAP) based service to retrieve data from the Citation database. Text mining is provided internally by Whatizit and externally by iHOP.

Proper citation: CiteXplore literature searching (RRID:SCR_010676) Copy   

•   Source: SciCrunch Registry

http://www.barthsyndrome.org/english/view.asp?x=1

The Barth Syndrome Foundation, together with our affiliates, is a community of families, physicians, scientists, donors and volunteers around the world. As our mission statement says, we are dedicated to saving lives through education, advances in treatment, and finding a cure for Barth syndrome - a sometimes fatal, oftentimes debilitating genetic disease. Our work includes: * Raising awareness among physicians, scientists, and the general public; * Supporting relevant research through an international grant research program; * Providing a caring and educational community for affected families; and * Hosting a unique information resource. Working together we are making a difference in the lives of children and their families. One day there will be a cure; we hope you will help us make that day come sooner. We are the only world-wide volunteer organization dedicated to saving lives through education, advances in treatment and pursuit of a cure for Barth syndrome (BTHS). We started in 2000, after the first international conference held in Baltimore, MD (USA) where families from around the world met to discuss BTHS. As a result, we made a unanimous decision to work together to find a cure for this multi-system disorder. Our Foundation strives to accelerate progress through collaboration between families and scientists. We encourage family participation in research. Also, we provide several ways to keep up-to-date about advances in science and medicine. Our principal education event is our biennial international scientific, medical and family conference, which brings together the largest number of individuals interested in Barth syndrome. Our Family Services team is continually developing new informational resources in response to the needs of families, individuals, and professionals working with those affected by Barth syndrome.

Proper citation: Barth Syndrome Foundation (RRID:SCR_010556) Copy   

•   Source: SciCrunch Registry

http://psidev.sourceforge.net/mi/xml/doc/user/index.html

The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. As a first step, the PSI is developing standards for two key areas of proteomics: mass spectrometry and protein-protein interaction data. The document describes the molecular interaction data exchange format. PSI is following a leveled approach to building this specification. Level 1 will describe protein interactions at a basic level that covers a large amount of currently available data. Subsequent levels will add capability to represent new molecular interaction information that the community wishes to exchange. The scope of PSI MI is currently limited to protein-protein interactions. Other molecules, such as small molecules, DNA and RNA maybe taken into account in the future. The PSI MI format is a data exchange format for protein-protein interactions. It is not a proposed database structure. The purpose of the document is to describe the general structure of the PSI MI XML specification in a more user-friendly manner than the specification does itself. PSI MI was designed by a group of people including representatives from database providers and users in both academia and industry. PSI MI is supported by the DIP, MINT, IntAct, BIND and HPRD databases.

Proper citation: PSI-MI (RRID:SCR_010710) Copy   

•   Source: SciCrunch Registry