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http://www.vectorfriends.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. Sequence analysis software for molecular biologists.

Proper citation: VectorFriends (RRID:SCR_001230) Copy   

•   Source: SciCrunch Registry

http://www.vanderbilt.edu/vinse/facilities/instruments/xps+phi+5000-versaprobe

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 13,2025.Lab with access to the PHI Versaprobe, a surface-sensitive analytical tool for identifying elemental composition and local bonding environment.

Proper citation: Vanderbilt X-Ray Photoelectron Spectroscopy Lab (RRID:SCR_000897) Copy   

•   Source: SciCrunch Registry

http://www.nmr.mgh.harvard.edu/CFNT/index

Biomedical technology research center that develops and applies innovative neuroimaging technologies and techniques to enable closer examination of the human brain, and thereby contribute to better understanding of the brain in health and disease. They develop new techniques and advance existing technologies for acquisition and analysis of functionally specific images of the working brain, with unprecedented physiological precision and spatiotemporal resolution. The research and development aims to improve and extend existing methods for non-invasive magnetic resonance image analysis and acquisition, electromagnetic source imaging, optical neuroimaging, and most recently, combined MR-PET neuroimaging. The Resource provides an essential interactive environment, within which an interdisciplinary team of highly skilled scientists, engineers, and clinicians with diverse expertise in multiple modalities and disciplines. The resource supports service use of the Center's facilities by neuroscientists throughout the country, provide extensive training opportunities for students, fellows, and staff scientists, and seek to advance the field of brain mapping through active dissemination of new knowledge and technology.

Proper citation: Center for Functional Neuroimaging Technologies (RRID:SCR_001423) Copy   

•   Source: SciCrunch Registry

http://www.broad.mit.edu/mpr/lung

Data set of a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, researchers analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct sub-classes of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.

Proper citation: Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes (RRID:SCR_003010) Copy   

•   Source: SciCrunch Registry

http://www.eecs.qmul.ac.uk/mmv/datasets/deap/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 12,2025. Multimodal dataset for emotion analysis using EEG, Physiological and Video Signals of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos. Participants rated each video in terms of the levels of arousal, valence, like/dislike, dominance and familiarity. For 22 of the 32 participants, frontal face video was also recorded. A novel method for stimuli selection was used, utilizing retrieval by affective tags from the last.fm website, video highlight detection and an online assessment tool. The dataset is made publicly available and other researchers are encouraged to use it for testing their own affective state estimation methods.

Proper citation: DEAPdataset (RRID:SCR_001586) Copy   

•   Source: SciCrunch Registry

http://sonorus.princeton.edu/hefalmp/

HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool.

Proper citation: Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) Copy   

•   Source: SciCrunch Registry

http://rulai.cshl.edu/tools/ESE

A web-based analysis service for identifying exonic splicing enhancers in eukaryotic genes. ESEfinder accept sequences in the FASTA format. A typical mammalian gene is composed of several relatively short exons that are interrupted by much longer introns. To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently, in a process that requires the coordinated action of five small nuclear (sn)RNAs (U1, U2, U4, U5 and U6) and more than 60 polypeptides. The inaccurate recognition of exon/intron boundaries or the failure to remove an intron generates aberrant mRNAs that are either unstable or code for defective or deleterious protein isoforms. Exonic enhancers are thought to serve as binding sites for specific serine/arginine-rich (SR) proteins, a family of structurally related and highly conserved splicing factors characterized by one or two RNA-recognition motifs (RRM) and by a distinctive C-terminal domain highly enriched in RS dipeptides (the RS domain). The RRMs mediate sequence-specific binding to the RNA, and so determine substrate specificity, whereas the RS domain appears to be involved mainly in protein-protein interactions. SR proteins bound to ESEs can promote exon definition by directly recruiting the splicing machinery through their RS domain and/or by antagonizing the action of nearby silencer elements. Sponsors: ESEfinder is supported by the Cold Spring Harbor Laboratory.

Proper citation: Exonic Splicing Enhancer Finder (RRID:SCR_002835) Copy   

•   Source: SciCrunch Registry

http://bisearch.enzim.hu

BiSearch is a primer-design algorithm for DNA sequences. It may be used for both bisulfite converted as well as for original not modified sequences. You can search various genomes with the designed primers to avoid non-specific PCR products by our fast ePCR method. This is especially recommended when primers are designed to amplify the highly redundant bisulfite treated sequences. It has the unique property of analyzing the primer pairs for mispriming sites on the bisulfite-treated genome and determines potential non-specific amplification products with a new search algorithm. The options of primer-design and analysis for mispriming sites can be used sequentially or separately, both on bisulfite-treated and untreated sequences. In silico and in vitro tests of the software suggest that new PCR strategies may increase the efficiency of the amplification.

Proper citation: BiSearch: Primer Design and Search Tool (RRID:SCR_002980) Copy   

•   Source: SciCrunch Registry

http://babelomics.bioinfo.cipf.es

An integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling. Version 4 of Babelomics integrates primary (normalization, calls, etc.) and secondary (signatures, predictors, associations, TDTs, clustering, etc.) analysis tools within an environment that allows relating genomic data and/or interpreting them by means of different functional enrichment or gene set methods. Such interpretation is made not only using functional definitions (GO, KEGG, Biocarta, etc.) but also regulatory information (from Transfac, Jaspar, etc.) and other levels of regulation such as miRNA-mediated interference, protein-protein interactions, text-mining module definitions and the possibility of producing de novo annotations through the Blast2GO system . Babelomics has been extensively re-engineered and now it includes the use of web services and Web 2.0 technology features, a new user interface with persistent sessions and a new extended database of gene identifiers. In this release GEPAS and Babelomics have integrated into a unique web application with many new features and improvements: * Data input: import and quality control for the most common microarray formats * Normalization and base calling: for the most common expression, tiling and SNP microarrays (Affymetrix and Agilent). * Transcriptomics: diverse analysis options that include well established as well as novel algorithms for normalization, gene selection, class prediction, clustering and time-series analysis. * Genotyping: stratification analysis, association, TDT. * Functional profiling: functional enrichment and gene set enrichment analysis with functional terms (GO, KEGG, Biocarta, etc.), regulatory (Transfac, Jaspar, miRNAs, etc.), text-mining, derived bioentities, protein-protein interaction analysis. * Integrative analysis: Different variables can be related to each other (e.g. gene expression to gnomic copy number) and the results subjected to functional analysis. Platform: Online tool

Proper citation: Babelomics (RRID:SCR_002969) Copy   

•   Source: SciCrunch Registry

http://vortex.cs.wayne.edu/projects.htm#Onto-Design

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. Many Laboratories chose to design and print their own microarrays. At present, the choice of the genes to include on a certain microarray is a very laborious process requiring a high level of expertise. Onto-Design database is able to assist the designers of custom microarrays by providing the means to select genes based on their experiment. Design custom microarrays based on GO terms of interest. User account required. Platform: Online tool

Proper citation: Onto-Design (RRID:SCR_000601) Copy   

•   Source: SciCrunch Registry

https://nationalmaglab.org/user-facilities/icr

Facility provides service operations for sample analysis that requires ultrahigh resolution and high mass accuracy of Fourier Transform Ion Cyclotron Resonance. Used for research in biomolecular analysis, hydrogen-deuterium exchange and environmental and petrochemical analysis. Four FT-ICR mass spectrometers feature high magnetic fields including the world-record 21 tesla and are compatible with multiple ionization and fragmentation techniques.

Proper citation: National High Magnetic Field Laboratory Ion Cyclotron Resonance Core Facility (RRID:SCR_017361) Copy   

•   Source: SciCrunch Registry

https://flowcore.hsc.wvu.edu/

Facility provides instrumentation and scientific support for single cell analysis and sorting. Routinely performs analysis of both eukaryotic and prokaryotic cells for expression of intracellular and extracellular proteins, cell cycle, cell proliferation, cytokine production, and cell sorting based on expression of cell surface antigen(s) and/or expression of genetically engineered intercellular fluorescent proteins.

Proper citation: West Virginia University Flow Cytometry and Single Cell Core Facility (RRID:SCR_017738) Copy   

•   Source: SciCrunch Registry

https://www.unmc.edu/vcr/cores/vcr-cores/flow-cytometry/index.html

Provides central location for flow cytometry instrumentation and education. Services include Flow Cytometry,Cell sorting, data analysis, training. Software packages to analyze data include ModFit LT, BD FACSDiva v6, Cell Quest Pro, and FlowJo vX, from facility workstations.

Proper citation: Nebraska University Medical Center Flow Cytometry Research Core Facility (RRID:SCR_017736) Copy   

•   Source: SciCrunch Registry

http://www.echomri.com/

International research instruments company that develops, manufactures and markets NMR and CT-based whole body composition and tissue characterization equipment.

Proper citation: EchoMRI (RRID:SCR_017104) Copy   

•   Source: SciCrunch Registry

https://mbim.uams.edu/research-cores/flow-cytometry-core-facility/

Core provides flow cytometry instrumentation and analysis. Instruments include Fortessa, FacsAria and Image Stream.

Proper citation: Arkansas University College of Medicine Flow Cytometry Core Facility (RRID:SCR_017741) Copy   

•   Source: SciCrunch Registry

https://www.usd.edu/medicine/basic-biomedical-sciences/proteomics-core

Core provides proteomics services to researchers from South Dakota and the surrounding region to rapidly analyze and identify protein expression patterns in their experimental systems.Develops experimental design, protocols, data analysis and interpretation.Provides consulting and advice in grant proposal, as well as data preparation to be submitted to proteomics journal according to requirements.Offers training in use of common equipment such as scanner, spot cutter, imaging software, technique and protocol issues, and sample preparation.

Proper citation: South Dakota University SD BRIN Proteomics Core Facility (RRID:SCR_017743) Copy   

•   Source: SciCrunch Registry

https://www.cimr.cam.ac.uk/about/facilities/bioinformatics

Core provides biological data handling and analysis in differential expression analysis, next generation sequencing, networks, protein architecture, and motif searching for in house researchers.

Proper citation: Cambridge Institute for Medical Research Bioinformatics Core Facility (RRID:SCR_017186) Copy   

•   Source: SciCrunch Registry

https://vgn.uvm.edu/bioinformatics/

Core provides expertise in biostatistics, microarray data analysis, proteome informatics, next generation sequencing data analysis, functional analysis, database development and information technology, including data storage infrastructure and high performance computing. Working closely with VGN Proteomics Facility, offers investigators experimental design consultations, comprehensive data analysis, data management and publishing, and manuscript and grant support. Core personnel also engage in teaching and training activities for data analysis and compute resources necessary for VGN network investigators. Our goal is to provide network researchers with bioinformatics expertise.

Proper citation: Vermont University Genetics Network Bioinformatics Core Facility (RRID:SCR_017686) Copy   

•   Source: SciCrunch Registry

https://dna-analysis.yale.edu/

Core supports DNA Sequencing of PCR, Plasmid, BAC and Fosmid templates, Fragment Analysis of Microsatellites, AFLP, t-RFLP, SHAPE Experiments and Human Cell Line Authentication.

Proper citation: Yale University DNA Analysis on Science Hill Core Facility (RRID:SCR_017689) Copy   

•   Source: SciCrunch Registry

https://umassmed.edu/saicf/

Core provides consultation services to assist researchers in designing imaging studies, limited labeling services and data acquisition and analysis.Core offers following services:Single Photon Computerized Tomography (SPECT),Positron Emission Computerized Tomography (PET), X-Ray Computerized Tomography (CT),NIR Optical Imaging of small animals.

Proper citation: Massachusetts University Medical School Radio Labeling Small Animal Translational Imaging Core Facility (RRID:SCR_017728) Copy   

•   Source: SciCrunch Registry