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http://www.brc.riken.jp/inf/en

RIKEN BRC contributes to advancement of life science research by collecting, preserving and distributing biological resources such as experimental animals, experimental plants, cultured cell lines, genetic materials (DNA), and associated bioinformatics. The RIKEN BRC develops novel bioresources to promote scientific research and new technologies to increase the value of bioresources, and also to implement effective procedures for the preservation, quality control and usage of bioresources. The RIKEN BRC is working closely with institutions in Japan and abroad.

Proper citation: RIKEN BioResource Center (RRID:SCR_003250) Copy   

•   Source: SciCrunch Registry
  

http://talkbank.org/

Databases of transcript and media data collected from conversations with adults and older children to foster fundamental research in the study of human and animal communication. Conversations with children are available from CHILDES. All of the data is transcribed in CHAT and CA/CHAT formats. Databases of the following types are included in the collection: Aphasia patient speech, Child speech, Study of Phonological Development, Conversation Analysis, and Bilingualism and Second Language Acquisition. TalkBank will use these databases to advance the development of standards and tools for creating, sharing, searching, and commenting upon primary materials via networked computers.

Proper citation: TalkBank (RRID:SCR_003242) Copy   

•   Source: SciCrunch Registry
  

http://nmrml.org/cv/

Ontology for describing NMR experiments and acquisitions.

Proper citation: nmrCV (RRID:SCR_003247) Copy   

•   Source: SciCrunch Registry
  

http://www.metabolomics-msi.org

Oversight Committee appointed to monitor, coordinate and review the efforts of working groups (WG) in specialist areas (Biological context metadata WG, Chemical analysis WG, Data processing WG, Ontology WG, Exchange format WG) that will examine standardization and make recommendations.

Proper citation: Metabolomics Standards Initiative (RRID:SCR_003246) Copy   

•   Source: SciCrunch Registry
  

http://code.google.com/p/mental-functioning-ontology/

An ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry. Efforts are currently underway to align with related projects including the Behaviour Ontology, the Cognitive Atlas, the Cognitive Paradigm Ontology and the Neural Electro Magnetic Ontologies.

Proper citation: Mental Functioning Ontology (RRID:SCR_003245) Copy   

•   Source: SciCrunch Registry
  

https://github.com/mozack/abra

Software that is a realigner for next generation sequencing data. It uses localized assembly and global realignment to align reads more accurately, thus improving downstream analysis (detection of indels and complex variants in particular).

Proper citation: Assembly Based ReAligner (RRID:SCR_003277) Copy   

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http://irc.cchmc.org/software/pedbrain.php

Brain imaging data collected from a large population of normal, healthy children that have been used to construct pediatric brain templates, which can be used within statistical parametric mapping for spatial normalization, tissue segmentation and visualization of imaging study results. The data has been processed and compiled in various ways to accommodate a wide range of possible research approaches. The templates are made available free of charge to all interested parties for research purposes only. When processing imaging data from children, it is important to take into account the fact that the pediatric brain differs significantly from the adult brain. Therefore, optimized processing requires appropriate reference data be used because adult reference data will introduce a systematic bias into the results. We have shown that, in the in the case of spatial normalization, the amount of non-linear deformation is dramatically less when a pediatric template is used (left, see also HBM 2002; 17:48-60). We could also show that tissue composition is substantially different between adults and children, and more so the younger the children are (right, see also MRM 2003; 50:749-757). We thus believe that the use of pediatric reference data might be more appropriate.

Proper citation: CCHMC Pediatric Brain Templates (RRID:SCR_003276) Copy   

•   Source: SciCrunch Registry
  

http://iimcb.genesilico.pl/MetaLocGramN/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023.A tool for subcellular localization prediction of Gram-negative proteins. You can also use MetaGramLocN via SOAP. SOAP enables you to invoke our method from scripts written in your programming language of choice.

Proper citation: MetaLocGramN (RRID:SCR_003154) Copy   

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http://genecruiser.broadinstitute.org/genecruiser3/

A web service and web application for the annotation of microarray data providing integrated access to genomic information freely available from public data sources.

Proper citation: GeneCruiser (RRID:SCR_003153) Copy   

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http://www.reproducibility.org/wiki/Main_Page

Software package for multidimensional data analysis and reproducible computational experiments. It aims to provide a powerful environment and a convenient technology transfer tool for researchers working with digital image and data processing in geophysics and related fields., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Madagascar (RRID:SCR_003274) Copy   

•   Source: SciCrunch Registry
  

http://www.psidev.info/

Initiative to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. The main organizational unit is the work group, with a Gel Electrophoresis (GEL) work group, a Mass Spectrometry (MS) work group, a Molecular Interactions (MI) work group, a Protein Modifications (MOD) work group, a Proteomics Informatics (PI) work group, and a Sample Processing (SP) work group. The Gel Electrophoresis (GEL) work group aims to develop reporting requirements that supplement the Minimum Information About a Proteomics Experiment (MIAPE) parent document, describing the minimum information that should be reported about gel-based experimental techniques used in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about gel electrophoresis and informatics performed on gel images. The Mass Spectrometry Standards Working Group defines community data formats and controlled vocabulary terms facilitating data exchange and archiving in the field of proteomics mass spectrometry. A past achievement is the mzData standard, which captures mass spectrometry output data. mzData's aim is to unite the large number of current formats (pkl's, dta's, mgf's, .....) into a single format. mzData has been released but is now deprecated in favor of mzML. The Molecular Interactions workgroup is concentrating on improving the annotation and representation of molecular interaction data wherever it is published, be this in journal articles, authors web-sites or public domain databases; and improving the accessibility of molecular interaction data to the user community. By using a common standard data can be downloaded from multiple sources and easily combined using a single parser. The protein modification workgroup focuses on developing a consensus nomenclature and provide an ontology reconciling in a hierarchical representation the complementary descriptions of residue modifications. The protein modification ontology (PSI-MOD) is available in OBO format or in OBO.xml. A spreadsheet containing the mapping of the descriptive labels used in various databases and search engines, the consensus list of proposed short name for protein modifications established by collaborative effort of mass spectrometry community, and the proposed rules and recommendations for this nomenclature are available. These short names are included in the ontology as synonyms of the corresponding terms. The Proteomics Informatics Standards Group (PSI-PI) goals are to provide a set of minimal reporting requirements which augment the MIAPE reporting guidelines with respect to analysis of data derived from proteomics experiments; to provide vendor-neutral and standard formats for representing results of analyzing and processing experimental data; to foster adoption of the format by highlighting efforts made by vendors and individuals that utilize the format in their products. The remit of the Sample Processing Working Group is to produce reporting guidelines, data exchange formats and controlled vocabulary covering all separation techniques not considered to be "classical" one- or two-dimensional gel electrophoresis (cf. the Gel WG home page), along with other kinds of sample handling and processing (for example, "tagging" proteins or peptides, splitting, combining and storing samples). Where possible we seek to develop our products in collaboration with all proteomics stakeholders and, where relevant, developers from other standards communities, most notably metabolomics. * Minimum reporting requirements: The evolving Minimum Information About a Proteomics Experiment (MIAPE) documents offer guidelines on how to adequately report a proteomics experiment. It is expected that these documents will be published, and that the requirements within will be enforced by journals, compliant repositories and funders (cf. MIAME). * XML formats for data exchange: Derived from the FuGE general object model, the formats developed by this workgroup are designed to function both as standalone files and as part of a "parent" FuGE-ML document. These formats will facilitate data exchange between researchers, and submission to repositories or journals. * Controlled vocabularies (CVs) and ontology: Lists of clearly defined terms are crucial for the construction of unambiguously worded data files. In addition to providing supporting CVs for the individual data capture formats as part of the integrated PSI CV, the Sample Processing WG will contribute terms to the Functional Genomics Ontology (FuGO).

Proper citation: HUPO Proteomics Standards Initiative (RRID:SCR_003158) Copy   

•   Source: SciCrunch Registry
  

http://www.hyperphagia.org/

Request for Applications to fund the best ideas in the field of hyperphagia research. Institutions of Higher Education, Nonprofit organizations, For-profit companies are eligible.

Proper citation: Hyperphagia (RRID:SCR_003157) Copy   

•   Source: SciCrunch Registry
  

http://www.rockland-inc.com/

A global biotechnology company manufacturing research tools, antibodies, and cGMP grade protein.

Proper citation: Rockland Immunochemicals (RRID:SCR_003278) Copy   

•   Source: SciCrunch Registry
  

http://www.mirbase.org/

Central online repository for microRNA nomenclature, sequence data, annotation and target prediction.Collection of published miRNA sequences and annotation.

Proper citation: miRBase (RRID:SCR_003152) Copy   

•   Source: SciCrunch Registry
  

https://code.google.com/p/emotion-ontology/

An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings, designed to support interdisciplinary research by providing unified annotations. The ontology is a domain specialization of the broader Mental Functioning Ontology.

Proper citation: Emotion Ontology (RRID:SCR_003272) Copy   

•   Source: SciCrunch Registry
  

http://www.macbrain.org/

Portal on how the experiences of early childhood are incorporated into the structures of the developing brain, and how, in turn, those changes in the structures of the brain influence behavior. The network explores how knowledge of brain development can guide us in understanding of behavioral development and vice versa. It focuses specifically on sensitive periods and neural plasticity, the reciprocal phenomena whereby (a) the brain is negatively affected if certain experiences fail to occur within a certain time period, and (b) the brain is altered by experience at virtually any point in the life span. Here we consider not only how the structure of experience is incorporated into the structure of the brain, but also how this knowledge can influence the decisions we make about intervening in the lives of children. Research and other projects conducted by the Network fall into four broad categories: * Effects of early experience on brain development * New methods for studying brain-behavior relations * Comparative studies of early brain-behavioral development * Impact on public policy: Educating educators and the media RESOURCES NimStim Face Stimulus Set The Research Network on Early Experience and Brain Development has developed a battery of 646 facial expression stimuli for use in its own and other studies of face and emotion recognition. Images include the following expressions, displayed by a variety of models of various genders and races: fearful, happy, sad, angry, surprised, calm, neutral, disgusted. They are making these stimuli available to the public free of charge with registration and acceptance of the terms and conditions to use the stimulus set.

Proper citation: Research Network in Early Experience and Brain Development (RRID:SCR_003271) Copy   

•   Source: SciCrunch Registry
  

http://splicq.sourceforge.net/

A Java software package which allows for the identification of splicing events and differentially expressed isoforms in next generation sequencing data.

Proper citation: SpliCQ (RRID:SCR_003266) Copy   

•   Source: SciCrunch Registry
  

http://www.geospiza.com/

Developer of enterprise-class software systems for workflow management of genetic analysis. Geospiza has established itself as the life science industry's top software developer for meeting the combined laboratory, data management and analytical needs of biotechnology and pharmaceutical companies, universities, researchers, contract core and diagnostic laboratories involved in genetic testing and manufacturing bio-therapeutics. Geospiza's products are designed and built by biologists, enabling researchers to focus on the science, not the software. *GeneSifter Analysis Edition: Access easy-to-use statistical, visualization and annotation tools for Microarray and Next Generation Sequencing data. *GeneSifter Lab Edition: Manage cross-platform core lab operations from a single interface out-of-the-box.

Proper citation: Geospiza (RRID:SCR_003264) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/projects/orfer/

An extended software package for high throughput PCR primer design for biological sequences. It reads the NCBI GenBank XML sequence format and extracts open reading frames for proteins. Sequences can be requested by GI or accession number.

Proper citation: ORFprimer (RRID:SCR_003269) Copy   

•   Source: SciCrunch Registry
  

http://www.cbs.dtu.dk/databases/NESbase

Database of proteins in which the presence of Leucine-rich nuclear export signal (NES) has been experimentally verified. It is curated from literature. Each NESbase entry contains information of whether NES was shown to be necessary and/or sufficient for export, and whether the export was shown to be mediated by the export receptor CRM1. The compiled information was used to make a sequence logo of the Leucine-rich NESs, displaying the conservation of amino acids within a window of 25 residues. Error reports and submissions of new data are most welcome!

Proper citation: NESbase (RRID:SCR_003268) Copy   

•   Source: SciCrunch Registry