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Statistical software tool for calling common and rare variants in analysis of pool or individual next-generation sequencing data. This software is optimized for analysis of whole-exome sequencing data and whole-genome sequencing data.
Proper citation: SNVer (RRID:SCR_002061) Copy
http://neuralprediction.berkeley.edu/
The aim of the Neural Prediction Challenge is to accelerate the development of predictive models and to provide computational neuroscientists an opportunity to test their models objectively. The challenge is really quite simple: you will be given some (visual and/or auditory) stimuli and corresponding neural responses, and you must try to predict responses to other stimuli. Each data set will be divided in to two subsets: a fit set (90% of the data) that includes both the stimuli and the corresponding neuronal responses; and a validation set (10% of the data) that includes only stimuli (no responses). Your job is to use the fit set to fit your model and then to generate predicted responses based on the stimuli provided in the validation set. Once you have the predictions you should return them to us. We will compare your predicted responses to the responses actually observed in the validation set. Current data consist of recordings from visual and auditory neurons during naturalistic stimulation. Data are provided in simple ascii files that are easily readable in Matlab (or by any other modern programming language). Details on data formatting are provided with each data set. Predictions will be evaluated continuously as they are received and results will be posted in aggregate form. Individuals' names, prediction scores and models will not be posted without prior permission (though we may contact participants directly, see official rules). Please note that this is an academic research project, it is not a traditional contest. There is no real ending date, and there is nothing to win. Sponsors: This project is supported by the NIH Human Brain Project.
Proper citation: University of California at Berkeley: The Neural Prediction Challenge (RRID:SCR_001920) Copy
http://www.bioinf.manchester.ac.uk/resources/puma/
Software program for developing probabilistic models for the analysis of microarray data.
Proper citation: PUMA (RRID:SCR_002057) Copy
http://sourceforge.net/projects/denovoassembler/files/
Software that assembles reads obtained with new sequencing technologies (Illumina, 454, SOLiD) using MPI 2.2.
Proper citation: Ray (RRID:SCR_001916) Copy
http://www.geneticseducation.nhs.uk/
The NHS National Genetics Education and Development Centre is working with a range of groups throughout the UK to facilitate the integration of genetics education into all levels of education and training for all NHS health professionals. The key aims of this center: 1. Providing leadership in genetics education 2. Helping to raise awareness 3. Involving patients and their families in informing all aspects of our work 4. Identifying the genetics knowledge, skills and attitudes which are useful for clinical role 5. Developing a framework for competences in genetics 6. Facilitating the integration of genetics into curricula and courses 7. Identifying and developing resources appropriate to the needs of health professionals (and their trainers) 8. Supporting and disseminating learning from service development initiatives in genetics Sponsors: The Centre is funded by the Department of Health as one of the major initiatives of the 2003 Genetics White Paper, Our Inheritance, Our Future - Realising the potential of genetics in the NHS which set out the Governments strategy for ensuring that the potential benefits of genetics are realised by the NHS.
Proper citation: United Kingdom National Health Service: National Genetics Education and Development Centre (RRID:SCR_001919) Copy
The Neural Information Processing Systems (NIPS) Foundation is a non-profit corporation whose purpose is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. Neural information processing is a field which benefits from a combined view of biological, physical, mathematical, and computational sciences. The primary focus of the NIPS Foundation is the presentation of a continuing series of professional meetings known as the Neural Information Processing Systems Conference, held over the years at various locations in the United States and Canada.
Proper citation: NIPS - Neural Information Processing Systems Conference (RRID:SCR_001998) Copy
https://www.bioinformatics.babraham.ac.uk/projects/seqmonk/
Software tool to visualize and analyse high throughput mapped sequence data.
Proper citation: SeqMonk (RRID:SCR_001913) Copy
Center for advancing scientific understanding and improving the health and well-being of humans and nonhuman primates. The Center conducts research in microbiology and immunology, neurologic diseases, neuropharmacology, behavioral, cognitive and developmental neuroscience, and psychiatric disorders.
Proper citation: Yerkes National Primate Research Center (RRID:SCR_001914) Copy
https://datashare.nida.nih.gov
Website which allows data from completed clinical trials to be distributed to investigators and public. Researchers can download de-identified data from completed NIDA clinical trial studies to conduct analyses that improve quality of drug abuse treatment. Incorporates data from Division of Therapeutics and Medical Consequences and Center for Clinical Trials Network.
Proper citation: NIDA Data Share (RRID:SCR_002002) Copy
http://cmb.gis.a-star.edu.sg/ChIPSeq/paperChIPSeq.htm
THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 12, 2017. A software tool to find peaks from ChIPSeq data generated from the Solexa/Illumina platform., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: ChIPSeq Peak Finder (RRID:SCR_002081) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. INOH (Integrating Network Objects with Hierarchies) is a pathway database of model organisms including human, mouse, rat and others. In INOH, the term pathway refers to higher order functional knowledge such as relationships among multiple bio-molecules that constitute signal transduction pathways or biological events in general. As most part of this knowledge resides in scientific articles, the database focuses on curating and encoding textual knowledge into a machine-processable form. The system provides pathway information as a composite of biological events, since functional knowledge is usually described as a set of fragmented processes. Each event is annotated with entries of a event ontology, which also has links to GO.
Proper citation: Integrating Network Objects with Hierarchies (RRID:SCR_002084) Copy
The Center for Bio-Image Informatics is an interdisciplinary research effort between Biology, Computer Science, Statistics, Multimedia and Engineering. The overarching goal of the center is the advancement of human knowledge of the complex biological processes which occur at both cellular and sub-cellular levels. the center employs and develops cutting edge techniques in the fields of imaging, pattern recognition and data mining. Research also focuses on development of new information processing techniques which can afford us a better understanding of biological processes depicted in microscopy images of cells and tissues, specifically on the distributions of biological molecules within these samples. This is achieved by borrowing methods for information processing at the sensor level to enable high speed and super-resolution imaging. By applying pattern recognition and data mining methods to bio-molecular images, full automation of both the extraction of information and the construction of statistically-sound models of the processes depicted in those images was possible. At the heart of the center's reseach is the BISQUE system, an online repository for multidimensional bio-images, and testbed for new research techniques and methods. BISQUE: Online Semantic Query User Environment is an online database for managing up to 5 dimensional scientific images with associated metadata and a flexible, collaborative tagging system. Currently the system has more than 85,000 user-provided tags and 128006 2-D planes from over 6,000 biological images. BISQUE is much more than just a repository for scientific images- the system provides resources for complex scientific analysis over images, result visualization, user-extensible modules, customized organization of images, advanced search features, graphical annotations, textual annotations and compatible client-side applications. Sponsors: This work is supported in part by an NSF infrastructure award No. EIA-0080134 and IIS-0808772.
Proper citation: Center for Bio-Image Informatics (RRID:SCR_001949) Copy
https://meded.ucsd.edu/index.cfm/asa/dcp/goddp/
The UCSD School of Medicine are dedicated to producing future leaders in all areas of medicine. As such, the School promotes the pursuit of dual degrees, either in the Medical School's own graduate degree programs or programs offered in other disciplines in the institution. In addition to the study of medicine, the School of Medicine actively encourages its student body to explore broadly in various scholarly areas related to the biomedical sciences. The goal of this additional training is to produce graduates who will bring fresh, innovative ideas to the research laboratory, the public health sector, the humanities and the social sciences, and the business environment. Students may elect to obtain advanced degrees in the following areas: * Biomedical Sciences * Masters in Bioengineering * Masters in Public Health * Masters in Leadership of Health Care Organizations * Masters of Advanced Studies in Clinical Research * Ph.D. Program in the Humanities and Social Sciences * Independent Ph.D. programs Opportunities for enrollment in research or degree programs outside of UCSD are also available, and students are encouraged to investigate these, if interested. Sponsors: This program is supported by the University of California at San Diego.
Proper citation: University of California at San Diego, School of Medicine: Graduate Opportunities & Dual Degree Programs (RRID:SCR_001942) Copy
https://github.com/homopolymer/PyroTools/
A software program to call short indels and SNPs for Ion Torrent and 454 data.
Proper citation: PyroHMMvar (RRID:SCR_002073) Copy
Commercial antibody supplier that specializes in the development and manufacture of viral antigens and anti-viral antibodies for diagnosis, monitoring, and treatment of significant viral infectious diseases.
Proper citation: Immune Technology (RRID:SCR_001932) Copy
Computational neuroscience center that observes and models how functional activities in multiple brain areas interact dynamically to support human cognition, creativity and social interaction. Center research involves development computational methods and software, experimental methods and equipment, collection and analysis of human cognitive experiments, and collaborations to analyze data collected by other groups in such experiments. The Center has a 72-channel EEG recording system customized for use in the fMRI environment, and a very-high density Biosemi Active Two active-electrode EEG system, rapidly configurable either as a 256-channel system for a single subject or as two 136-channel systems for recording from two subjects simultaneously. In addition, UCSD now has a 306-channel MEG plus 128-channel EEG system (Neuromag/Elektra). Projects in the Center include studies of human cognitive processes including attention and memory, role of the anterior/posterior cingulate, time perception and emotional expression. Data acquisition includes high-density EEG, concurrent EEG and fMRI recording and analysis, and face video processing. Current analysis approaches include independent component and time-frequency analysis.
Proper citation: Swartz Center for Computational Neuroscience (RRID:SCR_001933) Copy
The Salk Institute conducts research within three major areas of study: Molecular Biology and Genetics; Neurosciences; and Plant Biology. Six key areas represent strategic research priorities: Chemistry and Proteomics; Stem Cell Biology; Cell Biology; Regulatory Biology; Metabolic Research; and Computational and Theoretical Biology.
Proper citation: Salk Institute for Biological Studies (RRID:SCR_000752) Copy
A collection of cook-book like manuals for various microarray designs. MAGMA is a collaboration between the Norwegian Microarray Consortium NMC and MolMine AS
Proper citation: Mini Analysis Guide for Microarrays (RRID:SCR_000596) Copy
The e-mouse.org is an online resource that aims to bring together and provide users with all information related to the laboratory mouse and its use as a model organism. Users can find direct links to MRB, a resource management project that provides a dynamic and interactive view of most world wide available mouse resources, as well as the CreZOO, MMdb and Fleming Databases, three more specialized mouse repositories, all developed and hosted at the B.S.R.C. Alexander Fleming Institute. Additionally e-mouse.org provides links to major European and international mouse resources like the Mouse Genome Informatics (MGI), European Mouse Mutant Archive (EMMA), International Mouse Strain Resource (IMSR) and Ensembl. Users interested in retrieving information regarding the use of mouse models are encouraged to visit MRB which provides an index of publicly available mouse resources intended for both bench scientists and bioinformaticians. * Mouse Resource Browser (MRB) is a resource management project that provides a dynamic and interactive view of most world wide available mouse resources, classified in 22 categories. * CreZOO is the European virtual repository of Cre and other targeted conditional driver strains. Its aim is to capture and disseminate extant and new information on all Cre driver strains. * MUGEN Mouse Database (MMdb) is a virtual and fully searchable repository of murine models of immune processes and immunological diseases. * Fleming Database is a fully searchable resource developed to host all mouse strains developed and/or housed in BSRC Al. Fleming's animal house. * MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. * EMMA is a non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. * IMSR is a searchable online database of mouse strains and stocks available worldwide, including inbred, mutant, and genetically engineered mice. The goal of the IMSR is to assist the international scientific community in locating and obtaining mouse resources for research. * Ensembl is a project that produces genome databases for vertebrates and other eukaryotic species, and makes this information freely available online.
Proper citation: e-mouse.org (RRID:SCR_000623) Copy
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