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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://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://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://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://biosciencecores.umd.edu/proteomics.html

Facility is equipped withThermoFisher Orbitrap Fusion Lumos Tribrid mass spectrometer that is interfaced to Dionex Ultimate3000 RSLCnano HPLC system. Facility also maintains 2 separate data stations dedicated for proteomics data processing, database searching, and generation of reports.

Proper citation: Maryland University Proteomics Core Facility (RRID:SCR_017739) 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://mbim.uams.edu/research-cores/flow-cytometry-core-facility/

Core provides flow cytometry instrumentation and analysis. Instruments include Fortessa, FacsAria and Image Stream.

Proper citation: Arkansas University College of Medicine Flow Cytometry Core Facility (RRID:SCR_017741) Copy   

•   Source: SciCrunch Registry

https://www.usd.edu/medicine/basic-biomedical-sciences/proteomics-core

Core provides proteomics services to researchers from South Dakota and the surrounding region to rapidly analyze and identify protein expression patterns in their experimental systems.Develops experimental design, protocols, data analysis and interpretation.Provides consulting and advice in grant proposal, as well as data preparation to be submitted to proteomics journal according to requirements.Offers training in use of common equipment such as scanner, spot cutter, imaging software, technique and protocol issues, and sample preparation.

Proper citation: South Dakota University SD BRIN Proteomics Core Facility (RRID:SCR_017743) 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

https://www.umassmed.edu/biocore/

Core to evaluate, select, and implement computational solutions for analysis of biological data.

Proper citation: Massachusetts University Medical School Bioinformatics Core Facility (RRID:SCR_017701) Copy   

•   Source: SciCrunch Registry

https://www.hpc.cam.ac.uk/compbio

Provides assistance in characterization and analysis of genomic variants, next generation sequencing data processing and analysis, computational systems biology, HPC and big data software development for genome scale data analysis, machine learning and data mining, cloud based solutions to process and manage large amounts of data, databases and genome scale data visualization.

Proper citation: University of Cambridge Bioinformatics and Computational Biology Services Core Facility (RRID:SCR_017154) Copy   

•   Source: SciCrunch Registry

https://cri.utsw.edu/facilities/moody-foundation-flow-cytometry/

Core provides flow cytometry services to scientists, offers analytical cytometry and high-speed sorting either in investigator operated format or facility staff assisted format, offers training for research personnel interested in learning how to design flow cytometry experiments, operate instrumentation and analyze data. Services include experimental design, protocol development, sample staining, instrument operation, data analysis, graphical production, sample processing as a Service (SpaaS). Facility is equipped with three cell sorters and four cell analyzers.

Proper citation: University of Texas Southwestern Medical Center Moody Foundation Flow Cytometry Core Facility (RRID:SCR_017807) Copy   

•   Source: SciCrunch Registry