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http://diseases.jensenlab.org/

Database that integrates evidence on disease-gene associations from automatic text mining, manually curated literature, cancer mutation data, and genome-wide association studies. It also assigns confidence scores that facilitate comparison of the different types and sources of evidence.

Proper citation: DISEASES (RRID:SCR_015664) Copy   

•   Source: SciCrunch Registry

http://tissues.jensenlab.org

Database that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. It maps all evidence to common protein identifiers and Brenda Tissue Ontology terms, and further unifies it by assigning confidence scores that facilitate comparison of the different types and sources of evidence.

Proper citation: TISSUES (RRID:SCR_015665) Copy   

•   Source: SciCrunch Registry

http://mrir.med.miami.edu:8000/midas

Software for processing, display, and analysis of magnetic resonance spectroscopic imaging data. MIDAS supports a "whole-brain" MRSI acquisition method that has been implemented on MRI systems from three major manufacturers., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MIDAS (RRID:SCR_015704) Copy   

•   Source: SciCrunch Registry

http://csb.pitt.edu/erc_analysis/Methods.php

Web-based statistical application that measures correlated rates across a phylogeny, allowing for extraction of genes with similar evolutionary histories. It can identify new functional connections between genes.

Proper citation: Evolutionary Rate Covariation (RRID:SCR_015669) Copy   

•   Source: SciCrunch Registry

https://portals.broadinstitute.org/cmap/

Collection of genome-wide transcriptional expression data from cultured human cells treated with bioactive small molecules and simple pattern-matching algorithms. camp aims to enable the discovery of functional connections between drugs, genes and diseases through the transitory feature of common gene-expression changes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Connectivity Map 02 (RRID:SCR_015674) Copy   

•   Source: SciCrunch Registry

https://data.mendeley.com/

Cloud-based data repository for storing, publishing and accessing scientific data. Mendeley Data creates a permanent location and issues Force 11 compliant citations for uploaded data.

Proper citation: Mendeley Data (RRID:SCR_015671) Copy   

•   Source: SciCrunch Registry

http://www.neurinsight.com/

Real-time task-based and resting-state fMRI analysis software. This software is developed and distributed to researchers by NeurInsight LLC.

Proper citation: TurboFIRE (RRID:SCR_015518) Copy   

•   Source: SciCrunch Registry

https://github.com/SpineML/SpineML_2_BRAHMS

Simulation software which can execute neural network models specified in the SpineML format (an extension of the INCF's NineML). It is used as the canonical simulator backend by SpineCreator and translates the SpineML specification of the model into object code and a SystemML specification of the network.

Proper citation: SpineML_2_BRAHMS (RRID:SCR_015640) Copy   

•   Source: SciCrunch Registry

http://www.neurocaregroup.com/dc-stimulator-neuroconn.html

Device for administering transcranial electrical stimulation. It has applications in cranial electrotherapy that provides a weak direct current for non-invasive Interventional Neurophysiology.

Proper citation: Neurocare: Neuroconn DC-Stimulator Plus (RRID:SCR_015520) Copy   

•   Source: SciCrunch Registry

http://www.usa.philips.com/healthcare/product/HCNMRB617/dti-fibertrak-mr-software

Instrument and software tool used to visualize, trace, analyze, and process white matter fiber tracts of Diffusion Tensor Imaging (DTI) data in real-time. It supports pre-operative surgical planning, post-surgery evaluation, and general evaluation of fiber tracts around tumors and lesions in connection with functional areas.

Proper citation: DTI FiberTrak MR Clinical application (RRID:SCR_015521) Copy   

•   Source: SciCrunch Registry

https://github.com/BRAHMS-SystemML/brahms

Simulation software that runs network simulations where the network is specified in its own format called SystemML. The components of the network can be implemented in C, C++, Python or Matlab and are used in SpineML_2_BRAHMS to provide a simulation back-end for SpineML models.

Proper citation: BRAHMS (RRID:SCR_015642) Copy   

•   Source: SciCrunch Registry

http://phobius.sbc.su.se/

Web application for combined transmembrane topology and signal peptide prediction. Used for whole genome annotation of signal peptides and transmembrane regions. Predictor is based on hidden Markov model (HMM) that models different sequence regions of signal peptide and different regions of transmembrane protein in series of interconnected states.

Proper citation: Phobius (RRID:SCR_015643) Copy   

•   Source: SciCrunch Registry

http://ccb.jhu.edu/software/hisat2/index.shtml

Graph-based alignment of next generation sequencing reads to a population of genomes.

Proper citation: HISAT2 (RRID:SCR_015530) Copy   

•   Source: SciCrunch Registry

http://platanus.bio.titech.ac.jp/

De novo sequence assembler that can reconstruct genomic sequences of highly heterozygous diploids from massively parallel shotgun sequencing data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Platanus (RRID:SCR_015531) Copy   

•   Source: SciCrunch Registry

http://derisilab.ucsf.edu/index.php?software=105

An accurate and efficient algorithm for discovering canonical and non-canonical splice junctions in short read datasets.

Proper citation: HMMSplicer (RRID:SCR_013315) Copy   

•   Source: SciCrunch Registry

http://www.labvision.se/en/

An Antibody supplier

Proper citation: Lab Vision (RRID:SCR_013436) Copy   

•   Source: SciCrunch Registry

http://www-sequence.stanford.edu/group/candida/

The Stanford Genome Technology Center began a whole genome shotgun sequencing of strain SC5314 of Candida albicans. After reaching its original goal of 1.5X mean coverage of the haploid genome (16Mb) in summer, 1998, Stanford was awarded a supplemental grant to continue sequencing up to a coverage of 10X, performing as much assembly of the sequence as possible, using recognizable genes as nucleation points. Candida albicans is one of the most commonly encountered human pathogens, causing a wide variety of infections ranging from mucosal infections in generally healthy persons to life-threatening systemic infections in individuals with impaired immunity. Oral and esophogeal Candida infections are frequently seen in AIDS patients. Few classes of drugs are effective against these fungal infections, and all of them have limitations with regard to efficacy and side-effects.

Proper citation: Sequencing of Candida Albicans (RRID:SCR_013437) Copy   

•   Source: SciCrunch Registry

http://www.thermofisher.com/us/en/home/brands/molecular-probes.html?icid=fr-probe-main

An Antibody supplier and subset of ThermoFisher Scientific which provides fluorescence reagents for various experiments and methods.

Proper citation: Molecular Probes (RRID:SCR_013318) Copy   

•   Source: SciCrunch Registry

http://ncmir.ucsd.edu/downloads/montage_rts2000.shtm

Software program for creating montages from multiphoton microscopy.

Proper citation: Montage RTS2000 (RRID:SCR_013439) Copy   

•   Source: SciCrunch Registry

https://omictools.com/l2l-tool

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019.

Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: L2L Microarray Analysis Tool (RRID:SCR_013440) Copy   

•   Source: SciCrunch Registry