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https://www.gencodegenes.org

Human and mouse genome annotation project which aims to identify all gene features in the human genome using computational analysis, manual annotation, and experimental validation.

Proper citation: GENCODE (RRID:SCR_014966) Copy   

•   Source: SciCrunch Registry

https://www.iitcinc.com/Incapacitane.html

Hardware that is used to test and assess pain and inflammation of the hind limbs on mice and rats. Dynamic weight bearing enables the test to be implemented on both limbs, while inflicting less stress on the subject animal.

Proper citation: IITC Incapacitance Meter (RRID:SCR_016143) Copy   

•   Source: SciCrunch Registry

http://yasuimac.bio.brandeis.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. Database and atlas of transgenic mouse lines that are generated by random insertion of enhancer trap probes. The trapped lines have highly restricted expression of tet transcription activator (some lines also have Cre DNA recombinase), which enables genetic manipulations in specific cell types.

Proper citation: Enhancer Trap Line Browser (RRID:SCR_003592) Copy   

•   Source: SciCrunch Registry

http://www.biocomputing.it/fidea/

A web server for the functional interpretation of differential expression analysis. It can: * Calculate overrepresentation statistics using KEGG, Interpro, Gene Ontology Molecular Function, Gene Ontology Biological Process, Gene Ontology Cellular Component and GoSlim classifications; * Analyze down-regulated and up-regulated DE genes separately or together as a single set; * Provide interactive graphs and tables that can be modified on the fly according to user defined parameters; the user can set a fold change filter and interactively see the effects on the gene set under examination; * Output publication-ready plot of the graph; * Compare the results of several experiments in any combination.

Proper citation: FIDEA (RRID:SCR_004187) Copy   

•   Source: SciCrunch Registry

http://www.jbldesign.com/jmogil/enter.html

Database of genes regulated by pain derived from published manuscripts describing results of pain-relevant knockout studies. The database has two levels of exploration: across-gene and within-gene. The across-gene level, the PainGenesdbSelector, is encountered first. All genes in the database can be accessed and sorted by their gene name, protein name, common names and acronyms, or genomic position (by navigating a graphic representation of the mouse genome). The gene and protein names can be selected from an alphabetical list, or by typing a text string into a search box.

Proper citation: Pain Genes database (RRID:SCR_004771) Copy   

•   Source: SciCrunch Registry

http://www.ihop-net.org/UniPub/iHOP/

Information system that provides a network of concurring genes and proteins extends through the scientific literature touching on phenotypes, pathologies and gene function. It provides this network as a natural way of accessing millions of PubMed abstracts. By using genes and proteins as hyperlinks between sentences and abstracts, the information in PubMed can be converted into one navigable resource, bringing all advantages of the internet to scientific literature research. Moreover, this literature network can be superimposed on experimental interaction data (e.g., yeast-two hybrid data from Drosophila melanogaster and Caenorhabditis elegans) to make possible a simultaneous analysis of new and existing knowledge. The network contains half a million sentences and 30,000 different genes from humans, mice, D. melanogaster, C. elegans, zebrafish, Arabidopsis thaliana, yeast and Escherichia coli.

Proper citation: Information Hyperlinked Over Proteins (RRID:SCR_004829) Copy   

•   Source: SciCrunch Registry

http://mousemap.princeton.edu/

In collaboration with several research groups at Jackson Laboratory, we mapped the tissue-specific functional relationship networks in the laboratory mouse by simulating the natural tissue specificity realized by differential protein expression between tissues. MouseMAP is an interface that allows browsing networks of different tissues and the comparison between them. The current version of MouseMAP includes one global network as an extension of mouseNET (http://mousenet.princeton.edu) and 107 tissue-specific networks organized into 15 different major body systems. The interface has the following features (their usage are detailed in Help and FAQ page): 1. Single graph query with one or multiple genes of interests. 2. Expansion/shrinking of query results through edge or node cutoffs. 3. Comparison of local networks between different tissues. 4. Dynamic generation of figure legend to facilitate manuscript writing.

Proper citation: mouseMAP (RRID:SCR_004784) Copy   

•   Source: SciCrunch Registry

http://www.neuroepigenomics.org/methylomedb/

A database containing genome-wide brain DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples. Two species were included in the Brain Methylome Database: human and mouse. Human postmortem brain samples were obtained from three distinct cortical regions, i.e., dorsal lateral prefrontal cortex (dlPFC), ventral prefrontal cortex (vPFC), and auditory cortex (AC). Human samples were selected from our postmortem brain collection with extensive neuropathological and psychopathological data, as well as brain toxicology reports. The Department of Psychiatry of Columbia University and the New York State Psychiatric Institute have assembled this brain collection, where a validated psychological autopsy method is used to generate Axis I and II DSM IV diagnoses and data are obtained on developmental history, history of psychiatric illness and treatment, and family history for each subject. The mouse sample (strain 129S6/SvEv) DNA was collected from the entire left cerebral hemisphere. The three human brain regions were selected because they have been implicated in the neuropathology of depression and schizophrenia. Within each cortical region, both disease and non-psychiatric samples have been profiled (matching subjects by age and sex in each group). Such careful matching of subjects allows one to perform a wide range of queries with the ability to characterize methylation features in non-psychiatric controls, as well as detect differentially methylated domains or features between disease and non-psychiatric samples. A total of 14 non-psychiatric, 9 schizophrenic, and 6 depression methylation profiles are included in the database.

Proper citation: MethylomeDB (RRID:SCR_005583) Copy   

•   Source: SciCrunch Registry

http://www.hms.harvard.edu/research/brain/atlas.html

2D mouse brain atlas of high quality coronal Nissl- and myelin-stained sections with labels, 3D images of hippocampal formation and limited other brain structures. The data for this digital atlas are based on the Atlas of the Mouse Brain and Spinal Cord, authored by Richard L. Sidman, Jay. B. Angevine and Elizabeth Taber Pierce, published as a hard cover book by Harvard University Press in 1971 and currently out of print. C57BL/6J strain adult specimens were used in creating the atlas.

Proper citation: High Resolution Mouse Brain Atlas (RRID:SCR_006063) Copy   

•   Source: SciCrunch Registry

http://www.unihi.org

A database of human molecular interaction networks that integrates human protein-protein and transcriptional regulatory interactions from 15 distinct resources and aims to give direct and easy access to the integrated data set and to enable users to perform network-based investigations. The database includes tools (i) to search for molecular interaction partners of query genes or proteins in the integrated dataset, (ii) to inspect the origin, evidence and functional annotation of retrieved proteins and interactions, (iii) to visualize and adjust the resulting interaction network, (iv) to filter interactions based on method of derivation, evidence and type of experiment as well as based on gene expression data or gene lists and (v) to analyze the functional composition of interaction networks.

Proper citation: Unified Human Interactome (RRID:SCR_005805) Copy   

•   Source: SciCrunch Registry

http://llama.mshri.on.ca/funcassociate/

A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool

Proper citation: FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) Copy   

•   Source: SciCrunch Registry

http://www.btool.org/ADGO2

A web-based tool that provides composite interpretations for microarray data comparing two sample groups as well as lists of genes from diverse sources of biological information. It provides multiple gene set analysis methods for microarray inputs as well as enrichment analyses for lists of genes. It screens redundant composite annotations when generating and prioritizing them. It also incorporates union and subtracted sets as well as intersection sets. Users can upload their gene sets (e.g. predicted miRNA targets) to generate and analyze new composite sets.

Proper citation: ADGO (RRID:SCR_006343) Copy   

•   Source: SciCrunch Registry

http://www.informatics.jax.org/home/recombinase

Curated data about all recombinase-containing transgenes and knock-ins developed in mice providing a comprehensive resource delineating known activity patterns and allows users to find relevant mouse resources for their studies.

Proper citation: Recombinase (cre) Activity (RRID:SCR_006585) Copy   

•   Source: SciCrunch Registry

http://tbdb.org

Database providing integrated access to genome sequence, expression data and literature curation for Tuberculosis (TB) that houses genome assemblies for numerous strains of Mycobacterium tuberculosis (MTB) as well assemblies for over 20 strains related to MTB and useful for comparative analysis. TBDB stores pre- and post-publication gene-expression data from M. tuberculosis and its close relatives, including over 3000 MTB microarrays, 95 RT-PCR datasets, 2700 microarrays for human and mouse TB related experiments, and 260 arrays for Streptomyces coelicolor. (July 2010) To enable wide use of these data, TBDB provides a suite of tools for searching, browsing, analyzing, and downloading the data.

Proper citation: Tuberculosis Database (RRID:SCR_006619) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-7/search?q=*

Virtual database currently indexing interaction between genes and diseases from Online Mendelian Inheritance in Man (OMIM) and Comparative Toxicogenomics Database (CTD).

Proper citation: Integrated Gene-Disease Interaction (RRID:SCR_006173) Copy   

•   Source: SciCrunch Registry

http://genie.weizmann.ac.il/pubs/mir07/mir07_data.html

Catalogs of predicted microRNA targets in worm (based on ce6 genome assembly), fly (dm3), mouse (mm9) and human (hg18). We follow standard seed parameter settings and consider seeds of length 6-8 bases, beginning at position 2 of the microRNA. No mismatches or loops are allowed, but a single G:U wobble is allowed in 7- or 8-mers. In genes missing a 3' UTR annotation, 500 bp (fly), 800 bp (human and mouse) or 300 bp (worm) downstream of the annotated end of the coding sequence were used as the predicted UTR. For each organism, a catalog with zero flank and with a flank of 3 and 15 bases upstream and downstream.

Proper citation: PITA (RRID:SCR_010853) Copy   

•   Source: SciCrunch Registry

http://biorxiv.org/content/early/2013/11/27/000455

A subset of the CARMEN repository, a curated set of data and code of multielectrode array recordings of spontaneous activity in developing mouse and ferret retina. The data have been annotated with minimal metadata and converted into HDF5 (Hierarchical data format, version 5) including the essential features of the recordings, such as developmental age, and genotype. All code and tools used in the analyses are also fully available for reuse, giving the ability to regenerate each figure and table and know exactly how the results were calculated, adding confidence in the research output and allowing others to easily build upon previous work. The addition of published data to the repository is encouraged.

Proper citation: Retinal wave repository (RRID:SCR_010462) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/ips-core

The new iPSC Core generates custom-designed iPSCs from mouse and human cells, including disease-specific human iPSCs. iPSCs from other species are currently under development. The Core is currently using both lentiviral- and sendai viral vector systems to deliver reprogramming factors to cells. Both systems are efficient, with the latter system having the advantage to generate iPSCs with a non-DNA-integrating vector system.

Proper citation: CU Denver iPSC Core (RRID:SCR_012176) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/transgenic-and-gene-targeting-core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 22,2024. Transgenic and Gene Targeting Core is a full-service facility designed to assist you in generating genetically engineered mouse models for biomedical research. Our services include gene targeting in embryonic stem cells, the generation of ES cell-derived knockout and knockin mice, transgenic mice (conventional and BAC transgenic mice) and the cryo-preservation of mouse lines. The latter service is of particular importance for investigators that have long-term projects with non-commercial mouse lines. Changes in the genetic make-up of your mouse lines that occur spontaneously over time (gene drift) and disease outbreaks can significantly affect the outcome of your research. It is therefore advisable to preserve your mouse lines, providing you with a backup of your valuable research tools. We currently offer both embryo cryopreservation as well as sperm cryopreservation for this purpose.

Proper citation: CU Denver Transgenic and Gene Targeting Core (RRID:SCR_012177) Copy   

•   Source: SciCrunch Registry

http://www.neurodiscovery.harvard.edu/research/neurobehavior_laboratory.html

Core facility that provides the following services: Surgery/necropsy service. Mouse models have become a popular and successful approach to elucidating the physiological and pathological roles of individual genes and are truly crucial to accelerate the development of effective treatments and cures for Alzheimer''''s, Parkinson''''s, ALS, MS and other neurodegenerative diseases. The increasing demand for mouse behavioral studies within the neuroscience community has led the Harvard NeuroDiscovery Center to develop a major new, state of the art mouse behavior laboratory, located in the Longwood medical area and carefully designed to meet the exacting standards required for this type of work. The NeuroBehavior Laboratory (NBL) will provide the Harvard community and other investigators access to a broad range of reliable behavioral/cognitive tests necessary to analyze and interpret the impact of a genetic, surgical or pharmacologic manipulation on specific behaviors. They can provide: * Assistance with experimental design. * Support for grant applications that have a significant component of mouse neurobehavioral research. * Full, fee-for-service, mouse behavioral testing services. * Training in all aspects of mouse neurobehavioral testing. * Assistance with data analysis and interpretation.

Proper citation: HNDC NeuroBehavior Laboratory Core (RRID:SCR_012396) Copy   

•   Source: SciCrunch Registry