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https://code.google.com/p/peptide-shaker/

Software providing a search engine independent platform for visualization of peptide and protein identification results from multiple search engines, currently supporting X!Tandem, MS-GF+, MS Amanda, OMSSA, MyriMatch, Comet, Tide, Mascot and mzIdentML. By combining the results from multiple search engines, while re-calculating PTM localization scores and redoing the protein inference, PeptideShaker attempts to give you the best possible understanding of your proteomics data.

Proper citation: PeptideShaker (RRID:SCR_002520) Copy   

•   Source: SciCrunch Registry

http://www.mementoweb.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. An extension for Chrome to see a version of a resource as it existed at some date in the past, by entering that URI in your browser and by specifying the desired date in a browser plug-in. Or you can actually browse the Web of the past by selecting a date and clicking. Whatever you land upon will be versions of Web resources as they were around the selected date. (This will only work if previous versions are available somewhere on the Web.)

Proper citation: Memento (RRID:SCR_002634) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/penncnv

A free software tool for Copy Number Variation (CNV) detection from SNP genotyping arrays. Currently it can handle signal intensity data from Illumina and Affymetrix arrays. With appropriate preparation of file format, it can also handle other types of SNP arrays and oligonucleotide arrays. PennCNV implements a hidden Markov model (HMM) that integrates multiple sources of information to infer CNV calls for individual genotyped samples. It differs form segmentation-based algorithm in that it considered SNP allelic ratio distribution as well as other factors, in addition to signal intensity alone. In addition, PennCNV can optionally utilize family information to generate family-based CNV calls by several different algorithms. Furthermore, PennCNV can generate CNV calls given a specific set of candidate CNV regions, through a validation-calling algorithm.

Proper citation: PennCNV (RRID:SCR_002518) Copy   

•   Source: SciCrunch Registry

http://bioassayontology.org/

Ontology to describe and categorize chemical biology and drug screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis. BAO is an extensible, knowledge-based, highly expressive (currently SHOIQ(D)) description of biological assays making use of descriptive logic based features of the Web Ontology Language (OWL). BAO currently has over 700 classes and also makes use of several other ontologies. It describes several concepts related to biological screening, including Perturbagen, Format, Meta Target, Design, Detection Technology, and Endpoint. Perturbagens are perturbing agents that are screened in an assay; they are mostly small molecules. Assay Meta Target describes what is known about the biological system and / or its components interrogated in the assay (and influenced by the Perturbagen). Meta target can be directly described as a molecular entity (e.g. a purified protein or a protein complex), or indirectly by a biological process or event (e.g. phosphorylation). Format describes the biological or chemical features common to each test condition in the assay and includes biochemical, cell-based, organism-based, and variations thereof. The assay Design describes the assay methodology and implementation of how the perturbation of the biological system is translated into a detectable signal. Detection Technology relates to the physical method and technical details to detect and record a signal. Endpoints are the final HTS results as they are usually published (such as IC50, percent inhibition, etc). BAO has been designed to accommodate multiplexed assays. All main BAO components include multiple levels of sub-categories and specification classes, which are linked via object property relationships forming an expressive knowledge-based representation.

Proper citation: Bioassay Ontology (RRID:SCR_002638) Copy   

•   Source: SciCrunch Registry

http://www.gudmap.org/Resources/Ontologies.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. A high-resolution ontology has been developed by members of the GUDMAP consortium to describe the subcompartments of the developing murine genitourinary tract. This ontology incorporates what can be defined histologically and begins to encompass other structures and cell types already identified at the molecular level. The GUDMAP ontology encompasses Theiler stage (TS) 17-27 of development as well as the sexually mature adult. It has been written as a partonomic, text-based, hierarchical ontology that, for the embryological stages, has been developed as a high-resolution expansion of the existing Edinburgh Mouse Atlas Project (EMAP) ontology. It also includes group terms for well-characterized structural and/or functional units comprising several sub-structures, such as the nephron and juxtaglomerular complex. Each term has been assigned a unique identification number. Synonyms have been used to improve the success of query searching and maintain wherever possible existing EMAP terms relating to this organ system.

Proper citation: GUDMAP Ontology (RRID:SCR_002637) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/plugins/mwiki/index.php/webmscaleapi:MainPage

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13, 2026. Venue for discussing and defining standard web interfaces for sharing images, annotations, and analyses of multiscale biological images. The goal is to increase interoperability of code to share the burden of infrastructure, increase code reuse, and allow us to spend more time focused on scientific questions. Please visit our Wiki to start participating. Together we can develop a small group of interfaces which are easy to implement, extensible, and cover the major tasks of developing tools for multiscale data on the web.

Proper citation: Web Interfaces for Multiscale Images (RRID:SCR_002589) Copy   

•   Source: SciCrunch Registry

http://www.osmicenterprises.com

A computerized, odor delivery device that can be used for basic research applications including mapping olfactory centers, cognitive / learning research, neuro-marketing among other uses. Additional products including tests for odor threshold, odor identification, odor discrimination and odor memory.

Proper citation: OEI fMRI compatible olfactometer (RRID:SCR_002507) Copy   

•   Source: SciCrunch Registry

http://liulab.dfci.harvard.edu/BINOCh/

Software that infers the identity of transcription factors used to regulate cell response to stimulus or determine a program of differentiation. It uses genome wide information on enhancer proximal nucleosome occupancy, acquired using ChIP-seq targeting enhancer related histone modifications., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026.

Proper citation: BINOCh (RRID:SCR_002778) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/sapFinder.html

An R software package, for detection of the variant peptides based on tandem mass spectrometry (MS/MS)-based proteomics data. It automates (1) variation-associated database construction, (2) database searching, (3) post-processing, (4) HTML-based report generation in shotgun proteomics.

Proper citation: sapFinder (RRID:SCR_002685) Copy   

•   Source: SciCrunch Registry

http://www.cnsforum.com/educationalresources/imagebank/

A collection of downloadable central nervous system (CNS) images for teaching, presentations, articles, and other purposes. The following major categories of images are as follows: Brain anatomy, Brain physiology, Anxiety, Depression, Schizophrenia, Dementia, Parkinson's disease, Stroke, and Others.

Proper citation: CNSforum: Image Bank (RRID:SCR_002718) Copy   

•   Source: SciCrunch Registry

https://github.com/grenaud/leeHom

Software program for the Bayesian reconstruction of ancient DNA fragments. The algorithm removes the adaptors and reconstructs the original DNA sequences using a Bayesian maximum a posteriori probability approach.

Proper citation: leeHom (RRID:SCR_002710) Copy   

•   Source: SciCrunch Registry

http://www.cognitiveatlas.org/

Knowledge base (or ontology) that characterizes the state of current thought in cognitive science that captures knowledge from users with expertise in psychology, cognitive science, and neuroscience. There are two basic kinds of knowledge in the knowledge base. Terms provide definitions and properties for individual concepts and tasks. Assertions describe relations between terms in the same way that a sentence describes relations between parts of speech. The goal is to develop a knowledge base that will support annotation of data in databases, as well as supporting improved discourse in the community. It is open to all interested researchers. A fundamental feature of the knowledge base is the desire and ability to capture not just agreement but also disagreement regarding definitions and assertions. Thus, if you see a definition or assertion that you disagree with, then you can assert and describe your disagreement. The project is led by Russell Poldrack, Professor of Psychology and Neurobiology at the University of Texas at Austin in collaboration with the UCLA Center for Computational Biology (A. Toga, PI) and UCLA Consortium for Neuropsychiatric Phenomics (R. Bilder, PI). Most tasks used in cognitive psychology research are not identical across different laboratories or even within the same laboratory over time. A major advantage of anchoring cognitive ontologies to the measurement level is that the strategy for determining changes in task properties is easier than tracking changes in concept definitions and usage. The process is easier because task parameters are usually (if not always) operationalized objectively, offering a clear basis to judge divergence in methods. The process is also easier because most tasks are based on prior tasks, and thus can more readily be considered descendants in a phylogenetic sense.

Proper citation: Cognitive Atlas (RRID:SCR_002793) Copy   

•   Source: SciCrunch Registry

http://www.neuroscience-berlin.de/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 10, 2017. In the last few years the Berlin neuroscience community has been highly successful in creating new research projects. Not the least of these is the cluster of excellence, NeuroCure, which has brought nine new professors and their research groups to Berlin. Along with the increasing levels of research, a number of new neuroscience training programs have recently been established. In 2002 the International Graduate Program Medical Neurosciences was the only structured Masters and PhD program: as of 2009 Berlin hosts four neuroscience schools and several DFG funded research training groups. The purpose of this website to highlight the many projects and people involved in the Berlin neuroscience community. We hope that you, the reader, can benefit from this summary., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Neuroscience Berlin (RRID:SCR_002741) Copy   

•   Source: SciCrunch Registry

http://www.unibas.ch/

Public university in Basel, Switzerland that offers degree programs in theology, law, medicine, humanities and social sciences, science, psychology, and business and economics.

Proper citation: University of Basel; Basel; Switzerland (RRID:SCR_002699) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/pathview.html

A tool set for pathway-based data integration and visualization. It maps and renders a wide variety of biological data on relevant pathway graphs. All users need is to supply their data and specify the target pathway. Pathview automatically downloads the pathway graph data, parses the data file, maps user data to the pathway, and render pathway graph with the mapped data. In addition, Pathview also seamlessly integrates with pathway and gene set (enrichment) analysis tools for large-scale and fully automated analysis.

Proper citation: Pathview (RRID:SCR_002732) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/glprobs/

Software implementing a simple and effective approach to improve the accuracy of multiple sequence alignment.

Proper citation: GLProbs (RRID:SCR_002739) Copy   

•   Source: SciCrunch Registry

http://www.neuro.nl

The department of Neuroscience was founded in 2001, resulting from a merger between the Physiology and Anatomy department. In 2008, the BNT department joined forces. At present we consist of about 150 people. Our research is dedicated to Plasticity and Dynamics of Sensori-Motor Systems, which we investigate at the physiological, anatomical end molecular level in 18 different research groups. We have teaching responsibilities within the whole bachelor's phase of the medical curriculum at the Erasmus MC, teaching both basic anatomy and physiology, as well as neuroscience. The department hosts its own Master of Neuroscience program. The department of Neuroscience is embedded in the ONWAR, Helmholtz, and MGC research school

Proper citation: Erasmus MC Department of Neuroscience (RRID:SCR_002737) Copy   

•   Source: SciCrunch Registry

http://www.flymine.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. Integrated database of genomic, expression and protein data for Drosophila, Anopheles, C. elegans and other organisms. You can run flexible queries, export results and analyze lists of data. FlyMine presents data in categories, with each providing information on a particular type of data (for example Gene Expression or Protein Interactions). Template queries, as well as the QueryBuilder itself, allow you to perform searches that span data from more than one category. Advanced users can use a flexible query interface to construct their own data mining queries across the multiple integrated data sources, to modify existing template queries or to create your own template queries. Access our FlyMine data via our Application Programming Interface (API). We provide client libraries in the following languages: Perl, Python, Ruby and & Java API

Proper citation: FlyMine (RRID:SCR_002694) Copy   

•   Source: SciCrunch Registry

http://www.srnt.org/

With over a thousand members, including many of the top experts on nicotine and tobacco from over 20 countries around the world, the Society for Research on Nicotine and Tobacco's mission is to stimulate the generation of new knowledge concerning nicotine in all its manifestations - from molecular to societal. The Society has the following goals: 1. To sponsor scientific meetings and publications fostering the exchange of information on the biological, behavioral, social, and economic effects of nicotine; these activities shall include basic research and research on mechanisms of action and the use of nicotine as a probe for studying nervous systems function as well as applied research on the behavioral and pharmacological aspects of tobacco use, nicotine dependence, the therapeutic uses of nicotine, and related areas. 2. To encourage scientific research on public health efforts for the prevention and treatment of cigarette and tobacco use. 3. To provide the means by which various legislative, governmental, regulatory, and other public agencies and the ethical drug industry can obtain expert advice and consultation on critical issues concerning tobacco use, nicotine dependence, and the therapeutic uses of nicotine. Membership dues will be used to plan an annual meeting, to publish a newsletter, to compile a directory, to conduct advocacy and liaison activities for nicotine research, and to begin work on professional publications such as a journal. Though the Society will meet at least once per year in North America and will be incorporated in the United States, the intent is to be international in scope, with co-sponsorship of meetings in other countries and active recruitment of members outside the United States. By clicking on the various links on the website you can gain access to further information about the society, its publications, activities and membership. In 2004, the Society for Research on Nicotine and Tobacco celebrated the tenth anniversary of its founding. During its first decade, the Society grew from around 100 to over 900 members, sponsored well-attended annual meetings and highly-influential satellite conferences to promote research, provided timely electronic and print services to increase the flow of information, and founded a new peer-reviewed journal (Nicotine and Tobacco Research: The Journal of SRNT) to facilitate communication of scientific advances. The record documents considerable progress in meeting the objective of the Society to stimulate new knowledge about nicotine in all its manifestations. As part of SRNT's Decade One celebration, two projects were developed to commemorate its achievements and help preserve its collective memory. The first is an article by two past presidents, Ovide Pomerleau and John Hughes, entitled With a little help from its friends: A brief history of the Society for Research on Nicotine and Tobacco, published in the Societys journal, Nicotine and Tobacco Research. The second is a series of e-interviews with each of SRNTs first ten presidents. A brief structured interview was designed, and the former presidents were invited to respond in writing to each question in as little or as much detail as desired. An open-ended question was provided at the end to allow for more free-form commentary. The results of this effort can be accessed via the links below.

Proper citation: Society for Research on Nicotine and Tobacco (RRID:SCR_002753) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/rBiopaxParser.html

A software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. At the moment BioPAX level 2 and level 3 are supported.

Proper citation: rBiopaxParser (RRID:SCR_002744) Copy   

•   Source: SciCrunch Registry