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https://www.bioconductor.org/packages//2.12/bioc/html/dexus.html
Software package that identifies differentially expressed genes in RNA-Seq data under all possible study designs such as studies without replicates, without sample groups, and with unknown conditions. It works also for known conditions, for example for RNA-Seq data with two or multiple conditions. RNA-Seq read count data can be provided both by the S4 class Count Data Set and by read count matrices. Differentially expressed transcripts can be visualized by heatmaps, in which unknown conditions, replicates, and samples groups are also indicated. This software is fast since the core algorithm is written in C. For very large data sets, a parallel version of DEXUS is provided in this package. DEXUS is a statistical model that is selected in a Bayesian framework by an EM algorithm. It does not need replicates to detect differentially expressed transcripts, since the replicates (or conditions) are estimated by the EM method for each transcript. The method provides an informative/non-informative value to extract differentially expressed transcripts at a desired significance level or power.
Proper citation: DEXUS (RRID:SCR_001309) Copy
A small and medium-sized enterprise (SME) that has expertise in preclinical pharmacology, pharmacokinetics, and toxicology for the characterization of novel anticancer therapeutics and predictive biomarkers like: cytostatics, biologicals (peptides, antibodies), (anti)-hormones, immunomodulators (cytokines), and gene therapeutics. EPO has modern laboratories licensed for animal experiments and gene technology (S2) and a broad panel of murine and human tumor models growing in immunocompetent (SPF-quality, syngeneic strains) or immunodeficient mice (nude, SCID, NOD/SCID). EPO has established imaging technologies to monitor in vivo tumor growth.
Proper citation: Experimental Pharmacology and Oncology Berlin-Buch (RRID:SCR_003954) Copy
A research- and development-oriented company based in Berlin that engineers and markets technology for animal behavior research offering unique, automated instrumentation. This includes specialized applications of virtual reality and touch screen technology for animal behavior environments and RFID (transponder) operated devices in home cage environments. Their experimental systems are used for behavioral phenotyping, brain research, experimental psychology, and the diagnostic characterization of animal models for translational medicine.
Proper citation: PhenoSys (RRID:SCR_004072) Copy
A nonprofit organization offering research and clinical grade pluripotent stem cell lines, cytogenetic testing, quality control testing and cell banking services to researchers worldwide. The organization is focused on enhancing and expanding the study of human pluripotent stem cells by supporting basic research; establishing research protocols; creating and distributing cell lines; providing training to scientists worldwide; and supporting efforts to unlock the therapeutic potential of stem cell technologies. As home to the Wisconsin International Stem Cell (WISC) Bank, and previously the first US National Stem Cell Bank, WiCell serves the worldwide scientific stem cell community through banking, characterization, and distribution of stem cell lines as well as providing technical support. WiCell also offers cytogenetic services, quality control testing services and clinical grade cell lines to researchers across the globe.
Proper citation: WiCell Research Institute (RRID:SCR_004364) Copy
An independent, nonprofit organization focused on mammalian genetics research to advance human health. Their mission is to discover the genetic basis for preventing, treating, and curing human disease, and to enable research for the global biomedical community. Jackson Laboratory breeds and manages colonies of mice as resources for other research institutions and laboratories, along with providing software and techniques. Jackson Lab also conducts genetic research and provides educational material for various educational levels.
Proper citation: Jackson Laboratory (RRID:SCR_004633) Copy
https://i4sa.com/wp-content/uploads/2021/01/1025ManualRevJ.pdf
Magnetic resonance compatible monitoring and gating system, including software, that enables monitoring rectal temperature, electrocardiogram and respiration rate during magnetic resonance imaging scan time. The PC displays multiple waveforms, measured values, trends and gating pulses. The data Acquisition modules are controlled by menu driven software from the PC. Data acquisition modules are available to measure the following parameters: ECG, respiration (three ways), temperature (two ways), pressure including invasive blood pressure (two ways), oxygen saturation and end-tidal CO2.
Proper citation: Model 1025 MR-compatible Small Animal Monitoring and Gating System (RRID:SCR_002090) Copy
http://www.iitcinc.com/Plantar.html
The IITC Plantar Analgesia Meter for thermal paw can be used on 12 mice, 6 rats and other animals (cats, rabbits) unrestrained when testing for narcotic drugs. Experiments are easy to perform, simply slide the test head under test subject, align the heat source via our exclusive guide light (idle state) by the attached, adjustable, angled mirror on test head to test subject and perform tests.
Proper citation: IITC Life Sciences Plantar Test Apparatus (RRID:SCR_012152) Copy
http://gmod.org/wiki/Flash_GViewer
Flash GViewer is a customizable Flash movie that can be easily inserted into a web page to display each chromosome in a genome along with the locations of individual features on the chromosomes. It is intended to provide an overview of the genomic locations of a specific set of features - eg. genes and QTLs associated with a specific phenotype, etc. rather than as a way to view all features on the genome. The features can hyperlink out to a detail page to enable to GViewer to be used as a navigation tool. In addition the bands on the chromosomes can link to defineable URL and new region selection sliders can be used to select a specific chromosome region and then link out to a genome browser for higher resolution information. Genome maps for Rat, Mouse, Human and C. elegans are provided but other genome maps can be easily created. Annotation data can be provided as static text files or produced as XML via server scripts. This tool is not GO-specific, but was built for the purpose of viewing GO annotation data. Platform: Online tool
Proper citation: Flash Gviewer (RRID:SCR_012870) Copy
http://www.iitcinc.com/rotarod.html
Kit for assessing motor function and endurance in mice and rats. IITC’s Rotarod Test is capable of having up to five mice or rats tested at a time standard.
Proper citation: IITC Life Sciences Rotarod Test (RRID:SCR_015698) Copy
http://www.complex.iastate.edu/download/Picky/
A software tool for selecting optimal oligonucleotides (oligos) that allows the rapid and efficient determination of gene-specific oligos based on given gene sets, and can be used for large, complex genomes such as human, mouse, or maize.
Proper citation: Picky (RRID:SCR_010963) Copy
Research infrastructure for generation of new mouse models,being therefore the most important transgenic mouse production unit in France.
Proper citation: Mouse Clinical Institute; Alsace; France (RRID:SCR_011021) Copy
http://www.civm.duhs.duke.edu/
Biomedical technology research center dedicated to the development of novel imaging methods for the basic scientist and the application of the methods to important biomedical questions. The CIVM has played a major role in the development of magnetic resonance microscopy with specialized MR imaging systems capable of imaging at more than 500,000x higher resolution than is common in the clinical domain. The CIVM was the first to demonstrate MR images using hyperpolarized 3He which has been moved from mouse to man with recent clinical trials performed at Duke in collaboration with GE. More recently the CIVM has developed the molecular imaging workbench---a system dedicated to multimodality cardiopulmonary imaging in the rodent. Their collaborators are employing these unique imaging systems in an extraordinary range of mouse and rat models of neurologic disease, cardiopulmonary disease and cancer to illuminate the underlying biology and explore new therapies.
Proper citation: Center for In Vivo Microscopy (RRID:SCR_001426) Copy
http://cell.ccrc.uga.edu/world/glycomics/glycomics.php
Biomedical technology research center that develops and implements new technologies to investigate the glycome of cells, including glycoproteomics and glycoconjugate analysis, transcript analysis and bioinformatics. It develops the tools and technology to analyze in detail the glycoprotein and glycolipid expression of mouse embryonic stem cells and the cells into which they differentiate. The technology developed in the Center will allow an understanding of how glycosylation is controlled during differentiation and will allow the development of tools to promote the use of stem cells to treat human disease. In addition, the technology developed will be applicable to the study of other cell types, including cancer cells that are progressing to a more invasive phenotype. The technology developed will also allow others in the scientific community to participate in glycomics research through dissemination of the new methods developed and through the analytical services provided by the resource to other scientists requesting assistance in glycomic analyses.
Proper citation: Integrated Technology Resource for Biomedical Glycomics (RRID:SCR_009003) Copy
http://mirnamap.mbc.nctu.edu.tw
A database of experimentally verified microRNAs and miRNA target genes in human, mouse, rat, and other metazoan genomes. In addition to known miRNA targets, three computational tools previously developed, such as miRanda, RNAhybrid and TargetScan, were applied for identifying miRNA targets in 3'-UTR of genes. In order to reduce the false positive prediction of miRNA targets, several criteria are supported for filtering the putative miRNA targets. Furthermore, miRNA expression profiles can provide valuable clues for investigating the properties of miRNAs, such tissue specificity and differential expression in cancer/normal cell. Therefore, we performed the Q-PCR experiments for monitoring the expression profiles of 224 human miRNAs in eighteen major normal tissues in human. The cross-reference between the miRNA expression profiles and the expression profiles of its target genes can provide effective viewpoint to understand the regulatory functions of the miRNA.
Proper citation: miRNAMap (RRID:SCR_003156) Copy
http://www.gensat.org/daily_showcase.jsp
THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 19, 2012. Due to budgetary constraints, the National Center for Biotechnology Information (NCBI) has discontinued support for the NCBI GENSAT database, and it has been removed from the Entrez System. The Gene Expression Nervous System Atlas (GENSAT) project involves the large-scale creation of transgenic mouse lines expressing green fluorescent protein (GFP) reporter or Cre recombinase under control of the BAC promoter in specific neural and glial cell populations. BAC expression data for all the lines generated (over 1300 lines) are available in online, searchable databases (www.gensat.org and the Database of GENSAT BAC-Cre driver lines). If you have any specific questions, please feel free to contact us at info_at_ncbi.nlm.nih.gov The GENSAT project aims to map the expression of genes in the central nervous system of the mouse, using both in situ hybridization and transgenic mouse techniques. Search criteria include gene names, gene symbols, gene aliases and synonyms, mouse ages, and imaging protocols. Mouse ages are restricted to E10.5 (embryonic day 10.5), E15.5 (embryonic day 15.5), P7 (postnatal day 7), and Adult (adult). The project focuses on two techniques * Evaluation of unmodified mice lines for expression of a given gene using radiolabelled riboprobes and in-situ hybridization. * Creation of transgenic mice lines containing a BAC construct that expresses a marker gene in the same environment as the native gene
Proper citation: GENSAT at NCBI - Gene Expression Nervous System Atlas (RRID:SCR_003923) Copy
http://genomequebec.mcgill.ca/PReMod
Database that describes more than 100,000 computational predicted transcriptional regulatory modules within the human genome. These modules represent the regulatory potential for 229 transcription factors families and are the first genome-wide / transcription factor-wide collection of predicted regulatory modules for the human genome. The algorithm used involves two steps: (i) Identification and scoring of putative transcription factor binding sites using 481 TRANSFAC 7.2 position weight matrices (PWMs) for vertebrate transcription factors. To this end, each non-coding position of the human genome was evaluated for its similarity to each PWM using a log-likelihood ratio score with a local GC-parameterized third-order Markov background model. Corresponding orthologous positions in mouse and rat genomes were evaluated similarly and a weighted average of the human, mouse, and rat log-likelihood scores at aligned positions (based on a Multiz (Blanchette et al. 2004) genome-wide alignment of these three species) was used to define the matrix score for each genomic position and each PWM. (ii) Detection of clustered putative binding sites. To assign a module score to a given region, the five transcription factors with the highest total scoring hits are identified, and a p-value is assigned to the total score observed of the top 1, 2, 3, 4, or 5 factors. The p-value computation takes into consideration the number of factors involved (1 to 5), their total binding site scores, and the length and GC content of the region under evaluation. Users can retrieve all information for a given region, a given PWM, a given gene and so on. Several options are given for textual output or visualization of the data.
Proper citation: PReMod (RRID:SCR_003403) Copy
http://compbio.uthsc.edu/miRSNP/
Database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression. The PolymiRTS database was created by scanning 3'UTRs of mRNAs in human and mouse for SNPs and INDELs in miRNA target sites. Then, the potential downstream effects of these polymorphisms on gene expression and higher-order phenotypes are identified. Specifically, genes containing PolymiRTSs, cis-acting expression QTLs, and physiological QTLs in mouse and the results of genome-wide association studies (GWAS) of human traits and diseases are linked in the database. The PolymiRTS database also includes polymorphisms in target sites that have been supported by a variety of experimental methods and polymorphisms in miRNA seed regions.
Proper citation: PolymiRTS (RRID:SCR_003389) Copy
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 September 2, 2016. Database for defining official rat gene symbols. It includes rat gene symbols from three major sources: the Rat Genome Database (RGD), Ensembl, and NCBI-Gene. All rat symbols are compared with official symbols from orthologous human genes as specified by the Human Gene Nomenclature Committee (HGNC). Based on the outcome of the comparisons, a rat gene symbol may be selected. Rat symbols that do not match a human ortholog undergo a strict procedure of comparisons between the different rat gene sources as well as with the Mouse Genome Database (MGD). For each rat gene this procedure results in an unambiguous gene designation. The designation is presented as a status level that accompanies every rat gene symbol suggested in the database. The status level describes both how a rat symbol was selected, and its validity. Rat Gene Symbol Tracker approves rat gene symbols by an automatic procedure. The rat genes are presented with links to RGD, Ensembl, NCBI Gene, MGI and HGNC. RGST ensures that each acclaimed rat gene symbol is unique and follows the guidelines given by the RGNC. To each symbol a status level associated, describing the gene naming process.
Proper citation: Rat Gene Symbol Tracker (RRID:SCR_003261) Copy
THIS RESOURCE IS NO LONGER IN SERVICE; REPLACED BY NEPHROSEQ; A growing database of publicly available renal gene expression profiles, a sophisticated analysis engine, and a powerful web application designed for data mining and visualization of gene expression. It provides unique access to datasets from the Personalized Molecular Nephrology Research Laboratory incorporating clinical data which is often difficult to collect from public sources and mouse data.
Proper citation: Nephromine (RRID:SCR_003813) Copy
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