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http://www.tissue-solutions.com/

Tissue Solutions offers you a single point to access the entire range of human biological materials for all your research and development needs. This includes diseased and normal tissues in fresh, frozen and FFPE formats. Using our large network of ethical sources we find the tissues you require, to your specifications and will deliver them to your door. Our goal is to provide high quality and well characterized samples to biotech companies, the pharmaceutical community and contract research organizations worldwide. We also organize customized and prospective tissue acquisition projects and give specialized advice relating to all aspects of the acquisition process, including intellectual input on project design. We appreciate that you would rather spend your time finding new biomarkers and developing, testing and validating novel drugs to cure human disease than spend your time sourcing material to help you do your work, so let our dedicated Tissue Acquisitionists lessen your workload and become a virtual part of your team.

Proper citation: Tissue Solutions (RRID:SCR_010672) Copy   

•   Source: SciCrunch Registry

http://trex.biohpc.org/

T-REX is a free, platform-independent online tool that allows for an integrated, rapid, and more robust analysis of T-RFLP data. Despite increasing popularity and improvements in terminal restriction fragment length polymorphism (T-RFLP) and other microbial community fingerprinting techniques, there are still numerous obstacles that hamper the analysis of these datasets. Many steps are required to process raw data into a format ready for analysis and interpretation. These steps can be time-intensive, error-prone, and can introduce unwanted variability into the analysis. Accordingly, we developed T-REX, free, online software for the processing and analysis of T-RFLP data. Analysis of T-RFLP data generated from a multiple-factorial study was performed with T-REX. With this software, we were able to i) label raw data with attributes related to the experimental design of the samples, ii) determine a baseline threshold for identification of true peaks over noise, iii) align terminal restriction fragments (T-RFs) in all samples (i.e., bin T-RFs), iv) construct a two-way data matrix from labeled data and process the matrix in a variety of ways, v) produce several measures of data matrix complexity, including the distribution of variance between main and interaction effects and sample heterogeneity, and vi) analyze a data matrix with the additive main effects and multiplicative interaction (AMMI) model.

Proper citation: T-REX (RRID:SCR_010715) Copy   

•   Source: SciCrunch Registry

http://gostat.wehi.edu.au

GOstat is a tool that allows you to find statistically overrepresented Gene Ontologies within a group of genes. The Gene-Ontology database (GO: http://www.geneontology.org) provides a useful tool to annotate and analyze the function of large numbers of genes. Modern experimental techniques, as e.g. DNA microarrays, often result in long lists of genes. To learn about the biology in this kind of data it is desirable to find functional annotation or Gene-Ontology groups which are highly represented in the data. This program (GOstat) should help in the analysis of such lists and will provide statistics about the GO terms contained in the data and sort the GO annotations giving the most representative GO terms first. Run GOstat: * Go to search form - Computes GO statistics of a list of genes selected from a microarray. * GOstat Display - You can store results from a previously run and view them here, either by uploading them as a file or putting them on a selected URL. * Upload Custom GO Annotations - This allows you to upload your own GO annotation database and use it with GOstat. Variants of GOstat: * Rank GOstat - Takes input from all genes on microarray instead of using a fixed cutoff and uses ranks using a Wilcoxon test or either ranks or pvalues to score GOs using Kolmogorov-Smirnov statistics. * Gene Abundance GOstats - Takes input from all genes on microarray and sums up the gene abundances for each GO to compute statistics. * Two list GOstat - Compares GO statistics in two independent lists of genes, not necessarily one of them being the complete list the other list is sampled from. Platform: Online tool, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GOstat (RRID:SCR_008535) Copy   

•   Source: SciCrunch Registry

http://www.brc.riken.go.jp/lab/cell/english/

Not yet vetted by NIF curator

Proper citation: Riken BRC Cell Bank (RRID:SCR_010553) Copy   

•   Source: SciCrunch Registry

https://www.twbiobank.org.tw/new_web_en/index.php

Taiwan Biobank intends to conduct large-scale cohort studies and case-control studies on local diseases. The cohort study will call for 200,000 volunteers, while the case-control study will invite 100,000 patients with the 10 to 15 most common diseases. These studies will enable Taiwan Biobank to identify the disease-causing factors and mechanisms of common diseases to facilitate the development of better treatment and prevention, reduce the cost of medical treatment and make it possible to achieve the goal of improving the island nation’s health.

Proper citation: Taiwan Biobank (RRID:SCR_010557) Copy   

•   Source: SciCrunch Registry

http://eaa.mpi-bn.mpg.de/

Service that allows you to process CEL files from Affymetrix, Inc. GeneChip Exon 1.0 ST Arrays to identify alternative splicing.

Proper citation: Exon Array Analyzer (RRID:SCR_008684) Copy   

•   Source: SciCrunch Registry

http://www.vetmeduni.ac.at/en/vetcore/research/research-units/vetbiobank/

Not yet vetted by NIF curator

Proper citation: VetBioBank (RRID:SCR_008716) Copy   

•   Source: SciCrunch Registry

http://obomap.bioontology.org/

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Service that determines the Suspected Overlap Among OBO Foundry Candidate Ontologies.

Proper citation: PROTOTYPE - Suspected Overlap Among OBO Foundry Candidate Ontologies (RRID:SCR_008834) Copy   

•   Source: SciCrunch Registry

http://edboyden.org/05.09.boyden.html

Laser tool that enables neurons to be optically silenced by pulses of yellow light, the light-activated chloride pump halorhodopsin (Halo), in a paper entitled Multiple-color optical activation, silencing, and desynchronization of neural activity, with single-spike temporal resolution. Temporally precise, noninvasive control of activity in well-defined neuronal populations is a long-sought goal of systems neuroscience. We adapted for this purpose the naturally occurring algal protein Channelrhodopsin-2, a rapidly gated light-sensitive cation channel, by using lentiviral gene delivery in combination with high-speed optical switching to photostimulate mammalian neurons. We demonstrate reliable, millisecond-timescale control of neuronal spiking, as well as control of excitatory and inhibitory synaptic transmission. This technology allows the use of light to alter neural processing at the level of single spikes and synaptic events, yielding a widely applicable tool for neuroscientists and biomedical engineers. The quest to determine how precise neural activity patterns mediate computation, behavior, and pathology would be greatly aided by a set of tools for reliably activating and inactivating genetically targeted neurons, in a temporally precise and rapidly reversible fashion. Having earlier adapted a light-activated cation channel, 1channelrhodopsin-2 (ChR2), for allowing neurons to be stimulated by blue light, we searched for a complementary tool that would enable optical neuronal inhibition, driven by light of a second color. Here we report that targeting the 1codon-optimized form of the light-driven chloride pump halorhodopsin from the archaebacterium Natronomas pharaonis (hereafter abbreviated Halo) to genetically-specified neurons enables them to be silenced reliably, and reversibly, by millisecond-timescale pulses of yellow light. We show that trains of yellow and blue light pulses can drive high-fidelity sequences of hyperpolarizations and depolarizations in neurons simultaneously expressing yellow light-driven Halo and blue light-driven ChR2, allowing for the first time manipulations of neural synchrony without perturbation of other parameters such as spiking rates. The Halo/ChR2 system thus constitutes a powerful toolbox for multichannel photoinhibition and photostimulation of virally or transgenically targeted neural circuits without need for exogenous chemicals, enabling systematic analysis and engineering of the brain, and quantitative bioengineering of excitable cells.

Proper citation: Channelrhodopsin-2 enables optical activation of neurons (RRID:SCR_008833) Copy   

•   Source: SciCrunch Registry

http://esbank.nia.nih.gov/

Not yet vetted by NIF curator

Proper citation: Mouse ES Stem Cell Bank (RRID:SCR_010660) Copy   

•   Source: SciCrunch Registry

http://www.nordgen.org/index.php/en/content/view/full/467

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 18,2023.

Proper citation: Nordic Genetic Resource Center (RRID:SCR_008706) Copy   

•   Source: SciCrunch Registry

http://gump.qimr.edu.au/general/daleN/SNPSpD/

SNPSpD is a method of correcting for non-independance of single nucleotide polymorphisms (SNPs) in linkage disequilibrium (LD) with each other, on the basis of the spectral decomposition (SpD) of matrices of LD between SNP''s. Additionally, output from SNPSpD includes eigenvalues, principal-component coefficients, and factor loadings after varimax rotation, enabling the selection of a subset of SNPs that optimize the information in a genomic region.

Proper citation: Single Nucleotide Polymorphism Spectral Decomposition (SNPSpD) (RRID:SCR_008621) Copy   

•   Source: SciCrunch Registry

http://mcg.ustc.edu.cn/sdap1/cpss/index.html

Computational Platform for analysis of Small RNA deep Sequencing data BioStaCs group., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CPSS (RRID:SCR_009395) Copy   

•   Source: SciCrunch Registry

http://www.biobank.org/

Genetic Alliance Registry and BioBank is a centralized, clinical data registry and sample repository (including DNA, serum, cells and tissues) that enables translational research. It is a nonprofit organization established by seven patient advocacy organizations. These organizations share resources for their BioBanks, such as the contract to the independent lab that processes the samples, but each organization will maintain ownership, control and costs associated with their sample collection. Founded in 2003, this cooperative venture provides shared infrastructure and customized solutions for disease advocacy organizations to lead sophisticated research initiatives. Genetic Alliance Registry and BioBank is an advocacy owned repository for biological samples and clinical data. It provides: * Centralized, standardized collection and archiving * Highest biorepository and participant protection standards * Open access for all organization approved researchers * Advocacy organization control

Proper citation: Genetic Alliance Biobank (RRID:SCR_010625) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/carp/

Service that generates Ramachandran-like plots of carbohydrate linkage torsions in pdb-files. The Ramachandran Plot, where backbone torsion angles are plotted against each other, is a frequently used tool to evaluate the quality of a protein 3D structure. For carbohydrate structures, linkage torsions can be evaluated in a similar way. Preferred Phi/Psi values of the torsion angles of glycosidic bonds depend strongly on the types of monosaccharides involved in the linkage, the kind of linkage (1-3, 1-4, etc) as well as the degree of branching of the structure. CARP analyses carbohydrate data given in PDB files using the pdb2linucs algorithm. For each different linkage type a separate plot is generated. The user can choose between two sources for plot background information for comparison: data obtained from PDB provided by GlyTorsion or from GlycoMapsDB. GlycoMapsDB provides calculated conformational maps, which show energetically preferred regions for a specific linkage, while PDB data are based on experimentally solved structures. For seldom occuring linkages, however, PDB data are often rare, so maybe not sufficient background information for comparison will be available from this source., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CARP (RRID:SCR_009021) Copy   

•   Source: SciCrunch Registry

http://www.csie.ntu.edu.tw/~cjlin/libsvm

An integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM) from the laboratory of Chih-Chung Chang and Chih-Jen Lin. It supports multi-class classification.

Proper citation: LIBSVM (RRID:SCR_010243) Copy   

•   Source: SciCrunch Registry

http://connectivity.brain-map.org/

Map of neural connections in mouse brain, built on an array of transgenic mice genetically engineered to target specific cell types. In addition to the connectivity data, information about the transgenic mouse lines and genetic tracers is available. Consists of high resolution 2-D projectivity image data that can be viewed side-by-side with the associated reference atlas and other reference datasets. Enables 3-D visualization and spatial/ontological search of connectivity models through a combination of manual and informatics analyses.

Proper citation: Allen Mouse Brain Connectivity Atlas (RRID:SCR_008848) Copy   

•   Source: SciCrunch Registry

http://www.radiometer.dk

Commercial organizations which develops, manufactures, and sells solutions and equipment for blood sampling, blood gas analysis, transcutaneous monitoring, and IT management systems under certain brand names.

Proper citation: Radiometer (RRID:SCR_014772) Copy   

•   Source: SciCrunch Registry

http://www.zeitz-puller.com/

Manufacturer and supplier of the DMZ Universal electrode pullers which produce pipettes and electrodes with a tip diameter down to 0.2 micrometers.

Proper citation: Zeitz (RRID:SCR_014774) Copy   

•   Source: SciCrunch Registry

https://imacel.net/en/

Artificial intelligence image analysis platform that facilitates life science research. It offers data analysis, processing functions, and security features to accelerate research productivity.

Proper citation: IMACEL (RRID:SCR_015868) Copy   

•   Source: SciCrunch Registry