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https://portal.brain-map.org/atlases-and-data/bkp/mapmycells

MapMyCells maps single cell and spatial transcriptomics data sets to massive, high-quality, and high-resolution cell type taxonomies. It enables speeding up the creation of brain reference atlases by facilitating the integration of datasets from the scientific community with a shared reference. MapMyCells is part of the growing Brain Knowledge Platform. Its key advantage is scale: researchers can provide up to 327 million cell-gene pairs from their own data, a huge leap forward for working with whole-brain datasets. Allen Institute and its collaborators continue to add new reference taxonomies and algorithms to MapMyCells.

Proper citation: MapMyCells (RRID:SCR_024672) Copy   

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http://mindboggle.info

Mindboggle (http://mindboggle.info) is open source software for analyzing the shapes of brain structures from human MRI data. The following publication in PLoS Computational Biology documents and evaluates the software: Klein A, Ghosh SS, Bao FS, Giard J, Hame Y, Stavsky E, Lee N, Rossa B, Reuter M, Neto EC, Keshavan A. (2017) Mindboggling morphometry of human brains. PLoS Computational Biology 13(3): e1005350. doi:10.1371/journal.pcbi.1005350

Proper citation: Mindboggle (RRID:SCR_002438) Copy   

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https://www.infors-ht.com/en/shakers/incubator-shakers/multitron-standard/

Shaker for cultivation of microorganisms and cell cultures provides homogeneous conditions for cultivation up to 63 liters or 23 000 batches in parallel in less than square meter of space.

Proper citation: Multitron: Incubation Shaker (RRID:SCR_024668) Copy   

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http://www.projecthalo.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Project Halo is a staged, long-range research effort by Vulcan Inc. towards the development of a Digital Aristotlea reasoning system capable of answering novel questions and solving advanced problems in a broad range of scientific disciplines and related human affairs. The project focuses on creating two primary functions: a tutor capable of instructing and assessing students in those subjects, and a research assistant with broad, interdisciplinary skills to help scientists and others in their work. Vulcan began work towards this ambitious vision in 2003 with the Halo Pilot a six-month effort to investigate the feasibility of creating a scientific knowledge base capable of answering novel questions from the AP (1st year college level) chemistry test. Three teams SRI International, Cycorp, and Ontoprise developed knowledge bases, for a limited section of an AP-chemistry syllabus, that were able to correctly answer 40 to 50 percent of the associated questions from the AP test. Since 2004, Project Halo has worked to improve these systems, with an emphasis on enabling knowledge entry by domain experts, instead of specialists in artificial intelligence software. In 2004, Vulcan began the development of Automated User-Centered Reasoning and Acquisition System (AURA), by SRI, that enables domain experts (graduate students in Biology, Chemistry, and Physics) to enter knowledge from introductory science textbooks. In 2006, an evaluation of AURA showed that students could create AURA knowledge bases that correctly answered 40 percent of the questions on a limited AP exam. In 2008, the next evaluation demonstrated an improvement of that score to 70 percent correct. In parallel, Project Halo has sponsored Ontoprise to develop semantic extensions to MediaWiki, the software that Wikipedia runs on. Ontoprise has developed a set of Semantic MediaWiki (SMW)+ extensions to MediaWiki that provide a community-based environment for authoring ontologies and creating semantically enhanced wikis. SMW+ has been widely used and is being applied in project management, enterprise collaboration and knowledge management, business intelligence, and the management of large terminology sets. In 2007, Vulcan began a new effort, Halo Advanced Research (HalAR), to address the difficult knowledge representation and reasoning (KR) challenges that prevent the realization of Digital Aristotle. This effort has produced a new semantic rule language and reasoning system, Semantic Inferencing on Large Knowledge (SILK), which includes major advances, including for default and higher-order reasoning over the web.

Proper citation: Project Halo (RRID:SCR_000136) Copy   

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http://biosciencedbc.jp/

The National Bioscience Database Center (NBDC) intends to integrate all databases for life sciences in Japan, by linking each database with expediency to maximize convenience and make the entire system more user-friendly. We aim to focus our attention on the needs of the users of these databases who have all too often been neglected in the past, rather than the needs of the people tasked with the creation of databases. It is important to note that we will continue to honor the independent integrity of each database that will contribute to our endeavor, as we are fully aware that each database was originally crafted for specific purposes and divergent goals. Services: * Database Catalog - A catalog of life science related databases constructed in Japan that are also available in English. Information such as URL, status of the database site (active vs. inactive), database provider, type of data and subjects of the study are contained for each database record. * Life Science Database Cross Search - A service for simultaneous searching across scattered life-science databases, ranging from molecular data to patents and literature. * Life Science Database Archive - maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata in a unified format, and to access and download the datasets with clear terms of use. * Taxonomy Icon - A collection of icons (illustrations) of biological species that is free to use and distribute. There are more than 200 icons of various species including Bacteria, Fungi, Protista, Plantae and Animalia. * GenLibi (Gene Linker to bibliography) - an integrated database of human, mouse and rat genes that includes automatically integrated gene, protein, polymorphism, pathway, phenotype, ortholog/protein sequence information, and manually curated gene function and gene-related or co-occurred Disease/Phenotype and bibliography information. * Allie - A search service for abbreviations and long forms utilized in life sciences. It provides a solution to the issue that many abbreviations are used in the literature, and polysemous or synonymous abbreviations appear frequently, making it difficult to read and understand scientific papers that are not relevant to the reader's expertise. * inMeXes - A search service for English expressions (multiple words) that appear no less than 10 times in PubMed/MEDLINE titles or abstracts. In addition, you can easily access the sentences where the expression was used or other related information by clicking one of the search results. * HOWDY - (Human Organized Whole genome Database) is a database system for retrieving human genome information from 14 public databases by using official symbols and aliases. The information is daily updated by extracting data automatically from the genetic databases and shown with all data having the identifiers in common and linking to one another. * MDeR (the MetaData Element Repository in life sciences) - a web-based tool designed to let you search, compare and view Data Elements. MDeR is based on the ISO/IEC 11179 Part3 (Registry metamodel and basic attributes). * Human Genome Variation Database - A database for accumulating all kinds of human genome variations detected by various experimental techniques. * MEDALS - A portal site that provides information about databases, analysis tools, and the relevant projects, that were conducted with the financial support from the Ministry of Economy, Trade and Industry of Japan.

Proper citation: NBDC - National Bioscience Database Center (RRID:SCR_000814) Copy   

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https://www.ibdgc.org/

Repository of biospecimen and phenotype data collected from Crohn's disease and ulcerative colitis cases and controls recruited at six sites throughout North America that are available to the scientific community. Phenotyping is performed using a standardized protocol, and lymphoblastoid cell lines are established for each subject. Phenotype data for each subject are collected by the Consortium's Data Coordinating Center (DCC), and phenotype data for all subjects with DNA samples are available. The resulting DNA samples have already been utilized by the Consortium to complete various association studies, including genome-wide association studies using dense genotyping arrays. Researchers can obtain DNA samples and phenotype, genotype, and pedigree data through the Data Repository. GWAS data must be requested through dbGAP. The IBDGC is involved with independent genetic research studies and actively works with members of the IBD and genetic communities on collaborative projects. They are also members of the International IBD Genetics Consortium. Phenotype Tools: The Consortium Phenotype Committee, led by Dr. Hillary Steinhart designed and validated paper forms to collect extensive phenotype data on Crohn's Disease and ulcerative colitis. Consortium phenotype tools are available for use by non-Consortium members.

Proper citation: NIDDK Inflammatory Bowel Disease Genetics Consortium (RRID:SCR_001461) Copy   

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https://www.upf.edu/web/ntsa/downloads/-/asset_publisher/xvT6E4pczrBw/content/2012-nonrandomness-nonlinear-dependence-and-nonstationarity-of-electroencephalographic-recordings-from-epilepsy-patients

THIS RESOURCE IS NO LONGER IN SERVICE, documented November 23, 2020; EEG data set, source code, and results from 7500 signal pairs from 5 epilepsy patients analyzed in the manuscript, Andrzejak RG, Schindler K, Rummel C. Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. Phys. Rev. E, 86, 046206, 2012. All Matlab source codes are included in the file ASR_Sources_2012_10_16.zip. The clinical purpose of these recordings was to delineate the brain areas to be surgically removed in each individual patient in order to achieve seizure control.

Proper citation: Bern-Barcelona EEG database (RRID:SCR_001582) Copy   

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https://github.com/cchandre/Polarimetry

Software Python based app for analyzing polarization resolved microscopy data to measure molecular orientation and order in biological samples.

Proper citation: PyPOLAR (RRID:SCR_024681) Copy   

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https://cab.spbu.ru/software/spades/

Software package for assembling single cell genomes and mini metagenomes. Uses short read sets as input. Used for genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. Works with Illumina or IonTorrent reads and can provide hybrid assemblies using PacBio, Oxford Nanopore and Sanger reads. Intended for small genomes like bacterial or fungal., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SPAdes (RRID:SCR_000131) Copy   

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https://github.com/katiasmirn/PERFect#perfect-permutation-filtering-package-in-r

Software R package as filtering test for microbiome data. Permutation filtering approach to address two unsolved problems in microbiome data processing: (i) define and quantify loss due to filtering by implementing thresholds and (ii) introduce and evaluate a permutation test for filtering loss to provide a measure of excessive filtering.

Proper citation: PERFect (RRID:SCR_024682) Copy   

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http://rosalind.info/

A software infrastructure, course and tool set for teaching bioinformatics, and biology through the use of models. This platform for learning bioinformatics through problem solving aims to make learning bioinformatics fun and easy. Learning bioinformatics usually requires solving computational problems of varying difficulty that are extracted from real challenges of molecular biology. Rosalind offers an array of intellectually stimulating problems that grow in biological and computational complexity; each problem is checked automatically, so that the only resource required to learn bioinformatics is an internet connection. Rosalind also promises to facilitate improvements in standard bioinformatics education by providing a vital teaching aid and a central homework resource. Rosalind is inspired by Project Euler, Google Code Jam, and the ever growing movement of free online courses. The project''s name commemorates Rosalind Franklin, whose X-ray crystallography with Raymond Gosling facilitated the discovery of the DNA double helix by Watson and Crick. We hope that Rosalind will inspire a new generation of bioinformatics students by attracting biologists who want to develop vital programming skills at their own pace in a unique environment as well as programmers who have never been exposed to some of the stimulating computational problems generated by molecular biology.

Proper citation: Rosalind (RRID:SCR_006233) Copy   

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http://drugdesigndata.org

Project portal's database of protein-ligand data sets provided by pharmaceutical partners that provide atomic details of drug mechanisms that will be used to improve computer-aided drug-design methods and thus accelerate drug discovery. The project aims to help companies release the high-quality data they have generated, which has incredible value to researchers working to improve methods of computer-aided drug discovery. Everyone stands to benefit from the ability to develop new medications more quickly and inexpensively. What computational chemists globally are trying to do is to make faster, more accurate, more predictive programs to speed up the process. Part of their mission is to engage the community in these challenges to test newly developed predictive algorithms.

Proper citation: Drug Design Data Resource (RRID:SCR_000497) Copy   

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https://seer.cancer.gov/csr/1975_2016/

Platform to report outlining trends in cancer statistics and methods to derive various cancer statistics from the Surveillance, Epidemiology, and End Results (SEER) program. Authoritative source for cancer statistics in the United States.

Proper citation: NCI SEER Cancer Statistics Review (RRID:SCR_024685) Copy   

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http://oppnet.nih.gov/

OppNet is a trans-NIH initiative to expand the agency's funding of basic behavioral and social sciences research (b-BSSR). Basic-BSSR studies mechanisms and processes that influence behavior at the individual, group, community and population level. Research results lead to new approaches for reducing risky behaviors and improving the adoption of healthy practices. The mission of OppNet is to pursue opportunities for strengthening basic behavioral and social science research (b-BSSR) at the NIH while innovating beyond existing investments. * OppNet advances basic behavioral and social science research through activities and initiatives that build a body of knowledge about the nature of behavior and social systems. * OppNet prioritizes activities and initiatives that focus on basic mechanisms of behavior and social processes; that are relevant to the missions and public health challenges of multiple NIH Institutes, Centers and Offices (ICOs); and that build upon existing NIH investments without replicating them. All NIH Institutes and Centers (ICs) share the mission of supporting b-BSSR. OppNet will also develop a plan for focused multi-year programs across ICs to advance priority topics within b-BSSR.

Proper citation: OppNet - Basic Behavioral and Social Science Opportunity Network (RRID:SCR_003522) Copy   

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https://seer.cancer.gov/lymphomarecode/lymphoma-2020.html

Website describing International Classification of Diseases codes that corresponds to lymphomas in the Surveillance, Epidemiology, and End Results (SEER) registry.

Proper citation: NCI Lymphoid Neoplasm Recode 2020 Revision Definition (RRID:SCR_024686) Copy   

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https://www.epfl.ch/labs/mmspg/research/page-58317-en-html/bci-2/bci_datasets/

A portal containing EEG datasets (in MATLAB format) and the MATLAB software that were used to produce the results in the paper named in the title of this resource. The files published can also be used as a basis for individual research on P300-based brain-computer interfaces. The system is based on the P300 evoked potential and is tested with five severely disabled and four able-bodied subjects. For four of the disabled subjects classification accuracies of 100% are obtained. The bitrates obtained for the disabled subjects range between 10 and 25 bits/min. The effect of different electrode configurations and machine learning algorithms on classification accuracy is tested.

Proper citation: An efficient P300-based brain-computer interface for disabled subjects (RRID:SCR_001584) Copy   

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http://www.genetrap.org/

Consortium represents all publicly available gene trap cell lines, which are available on non-collaborative basis for nominal handling fees. Researchers can search and browse IGTC database for cell lines of interest using accession numbers or IDs, keywords, sequence data, tissue expression profiles and biological pathways, can find trapped genes of interest on IGTC website, and order cell lines for generation of mutant mice through blastocyst injection. Consortium members include: BayGenomics (USA), Centre for Modelling Human Disease (Toronto, Canada), Embryonic Stem Cell Database (University of Manitoba, Canada), Exchangeable Gene Trap Clones (Kumamoto University, Japan), German Gene Trap Consortium provider (Germany), Sanger Institute Gene Trap Resource (Cambridge, UK), Soriano Lab Gene Trap Resource (Mount Sinai School of Medicine, New York, USA), Texas Institute for Genomic Medicine - TIGM (USA), TIGEM-IRBM Gene Trap (Naples, Italy).

Proper citation: International Gene Trap Consortium (RRID:SCR_002305) Copy   

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http://www.bioeng.nus.edu.sg/compbiolab/projects/index.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Computational Bioengineering Laboratory in the Division of Bioengineering at the National University of Singapore has expertise in mathematical modeling, software and algorithm development, numerical techniques such as finite element analysis, computer simulation and visualization, signal and image processing plus an understanding of the biological systems that drive our efforts. The following are the main themes underlying the Computational Bioengineering Laboratory projects: - Computational Biology - Computational Physiology - Biosignal & Bioimage Processing - Integrated Physiology & the Physiome Project

Proper citation: National University of Singapore, Computational Bioengineering Laboratory (RRID:SCR_000284) Copy   

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http://www.lrec-conf.org/

The LREC conference has become a major event in the field of language engineering, and constitutes a milestone in the life of Human Language Technologies (HLT). The International Conference on Language Resources and Evaluation is organized by ELRA biennially with the support of institutions and organizations involved in HLT, and brings together a large number of people working and interested in HLT.

Proper citation: LREC Conferences (RRID:SCR_004752) Copy   

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http://www.usq.edu.au/adfi

THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 14, 2016. The Australian Digital Futures Institute no longer exists. It has been replaced by the USQ Digital Life Lab.

A portal for the Australian Digital Futures Institute, a cross-institutional, multidisciplinary Institute that focuses on software research for technology-enhanced innovation.

Proper citation: Australian Digital Futures Institute (RRID:SCR_001365) Copy   

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