Tools   Select Another Resource Report Type

http://www.ncbi.nlm.nih.gov/unigene

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Web tool for an organized view of the transcriptome. Collection of the computationally identified transcripts from the same locus. Information on protein similarities, gene expression, cDNA clones, and genomic location. System for automatically partitioning GenBank sequences into a non redundant set of gene oriented clusters.

Proper citation: UniGene (RRID:SCR_004405) Copy   

•   Source: SciCrunch Registry

http://rulai.cshl.edu/tred

Collects mammalian cis- and trans-regulatory elements together with experimental evidence. Regulatory elements were mapped on to assembled genomes. Resource for gene regulation and function studies. Users can retrieve primers, search TF target genes, retrieve TF motifs, search Gene Regulatory Networks and orthologs, and make use of sequence analysis tools. Uses databases such as Genbank, EPD and DBTSS, and employ promoter finding program FirstEF combined with mRNA/EST information and cross-species comparisons. Manually curated.

Proper citation: Transcriptional Regulatory Element Database (RRID:SCR_005661) Copy   

•   Source: SciCrunch Registry

http://genomics.senescence.info/genes/

Collection of annotated and manually curated data of genes related to aging divided into genes related to longevity and/or aging in model organisms (yeast, worms, flies, mice, etc.) and aging related human genes.

Proper citation: GenAge (RRID:SCR_010223) Copy   

•   Source: SciCrunch Registry

http://www.alzforum.org/res/com/ant/

The Alzheimer Research Forum is the web''s most dynamic scientific community dedicated to understanding Alzheimer''s disease and related disorders. It also contains a database of providers of antibodies directed against several hundred molecules and proteins of relevant to research on Alzheimer and other neurodegenerative diseases. The web site reports on the latest scientific findings, from basic research to clinical trials; creates and maintains public databases of essential research data and reagents, and produces discussion forums to promote debate, speed the dissemination of new ideas, and break down barriers across the numerous disciplines that can contribute to the global effort to cure Alzheimer''s disease. The ARF team of professional science writers and editors, information technology experts, web developers and producers all work closely with our distinguished and diverse Advisory Board to ensure a high-quality of information and services. We very much welcome our readers'' participation in all aspects of the web site. Sponsors: The Alzheimer Research Forum is an independent nonprofit organization. It is supported by grants and individual donations.

Proper citation: Alzforum Antibody Directory for Neuroscience Research (RRID:SCR_013601) Copy   

•   Source: SciCrunch Registry

http://web.stanford.edu/group/barres_lab/brain_rnaseq.html

Database containing RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of cerebral cortex. Collection of RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of mouse cerebral cortex. RNA-Seq of cell types isolated from mouse and human brain.

Proper citation: Brain RNA-Seq (RRID:SCR_013736) Copy   

•   Source: SciCrunch Registry

http://www.ukbiobank.ac.uk/

Biobank provides data collected at Assessment Center and via online questionnaires on participants aged 40-69 years recruited throughout United Kingdom and provides summary information to improve prevention, diagnosis and treatment of serious and life threatening illnesses.

Proper citation: UK Biobank (RRID:SCR_012815) 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://eyebrowse.cit.nih.gov/

EyeBrowse displays expressed sequence tag (EST) cDNA clones from eye tissues (derived from NEIBank and other sources) aligned with current versions of the human, rhesus, mouse, rat, dog, cow, chicken, or zebrafish genomes, including reference sequences for known genes. This gives a simplified view of gene expression activity from different parts of the eye across the genome. The data can be interrogated in several ways. Specific gene names can be entered into the search window. Alternatively, regions of the genome can be displayed. For example, entering two STS markers separated by a semicolon (e.g. RH18061;RH80175) allows the display of the entire chromosomal region associated with the mapping of a specific disease locus. ESTs for each tissue can then be displayed to help in the selection of candidate genes. In addition, sequences can be entered into a BLAT search and rapidly aligned on the genome, again showing eye derived ESTs for the same region. EyeBrowse includes a custom track display SAGE data for human eye tissues derived from the EyeSAGE project. The track shows the normalized sum of SAGE tag counts from all published eye-related SAGE datasets centered on the position of each identifiable Unigene cluster. This indicates relative activity of each gene locus in eye. Clicking on the vertical count bar for a particular location will bring up a display listing gene details and linking to specific SAGE counts for each eye SAGE library and comparisons with normalized sums for neural and non-neural tissues. To view or alter settings for the EyeSAGE track on EyeBrowse, click on the vertical gray bar at the left of the display. Other custom tracks display known eye disease genes and mapped intervals for candidate loci for retinal disease, cataract, myopia and cornea disease. These link back to further information at NEIBank. For mouse, there is custom track data for ChIP-on-Chip of RNA-Polymerase-II during photoreceptor maturation.

Proper citation: EyeBrowse (RRID:SCR_008000) Copy   

•   Source: SciCrunch Registry

https://cancer.dartmouth.edu/researchers/bioinformatics-resource.html

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 29,2022. Core to support the implementation of bioinformatics resources for cancer research at Dartmouth. Provides consultation and collaboration for research projects of NCCC members, regular workshops, seminars, services including applied bioinformatics and data mining, computer programming and software engineering, database development and programming and high performance computing and systems administration.

Proper citation: Dartmouth-Hitchcock Bioinformatics Shared Resource (RRID:SCR_009758) Copy   

•   Source: SciCrunch Registry

http://howard.eagle-i.net/i/00000134-a517-1426-bf4c-ca4080000000

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core for bioinformatics consultation and software access. Laboratory of Molecular Computations and Bioinformatics (LMCB) is a resource facility dedicated to the support of computational biomedical research at Howard University. Provides molecular modeling, molecular dynamics, bioinformatics, and computational quantum chemistry capabilities and support to a variety of research projects at Howard University.

Proper citation: Howard University Center for Computational Biology and Bioinformatics Core Facility (RRID:SCR_009864) Copy   

•   Source: SciCrunch Registry

http://harvard.eagle-i.net/i/0000012e-5e87-861a-55da-381e80000000

Core for data driven projects related to basic, clinical and translational research, with a particular emphasis on diabetes. Aims to ensure that researchers take advantage of the most modern and robust methods available in the field of Bioinformatics and Biostatistics.

Proper citation: Harvard Bioinformatics Core at Joslin Diabetes Center (RRID:SCR_009827) Copy   

•   Source: SciCrunch Registry

http://casestudies.brain-map.org/celltax

Cellular Taxonomy of Mouse Visual Cortex by analyzing gene expression patterns at single cell level. Construction of cellular taxonomy of one cortical region, primary visual cortex, in adult mice done on basis of single cell RNA sequencing.

Proper citation: CellTax vignette (RRID:SCR_017000) 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

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

http://www.tsl.ac.uk/groups/bioinformatics/

Core develops tools for high throughput sequence data to study non reference, non model organisms.

Proper citation: Sainsbury Laboratory Bioinformatics Core Facility (RRID:SCR_017185) 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

http://www.giga.uliege.be/cms/c_151663/fr/giga-genomcis-lab-manager

Core provided by interdisciplinary center of biomedical research of Liege University. Develops and applies computational methods to extract information from large sets of biological and biomedical data.

Proper citation: University of Liege Interdisciplinary Cluster for Applied Genoproteomics Bioinformatics Core Facility (RRID:SCR_017163) 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

https://www.mcgill.ca/abif/

Core offers light microscopy platforms providing guidance to researchers with their projects from sample preparation to data analysis, expertise in cellular imaging including live cell imaging, FRAP, Fluorescence Lifetime Imaging Microscopy (FLIM), FRET, FCS, image correlation spectroscopy, TIRF, spectral imaging, lattice lightsheet, stimulated emission depletion (STED), high content screening, cellular image analysis, and custom image analysis, consultations, image processing, image analysis and preparation of data for publication.

Proper citation: McGill University Advanced BioImaging Facility (ABIF) (RRID:SCR_017697) Copy   

•   Source: SciCrunch Registry

https://uni-tuebingen.de/en/research/research-infrastructure/quantitative-biology-center-qbic/

Central unit for bioinformatics and omics technologies of University of Tübingen, Medical Faculty and Max Plank for Developmental Biology. Through partnering with on campus core facilities, offers services on full range of omics technologies. Data generation is complemented by integrated bioinformatics analyses, and all high throughput data is managed centrally.

Proper citation: University of Tübingen Quantitative Biology Center (RRID:SCR_017147) Copy   

•   Source: SciCrunch Registry