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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

http://cistrome.org/finder

Data portal that can help query, evaluate and visualize publicly available Chromatin immunoprecipitation and DNase I hypersensitivity assays with high-throughput sequencing data in human and mouse. The database currently contains 6378 samples over 4391 datasets, 313 factors and 102 cell lines or cell populations (May 2013). Each dataset has gone through a consistent analysis and quality control pipeline; therefore, users could evaluate the overall quality of each dataset before examining binding sites near their genes of interest. CistromeFinder is integrated with UCSC genome browser for visualization, Primer3Plus for ChIP-qPCR primer design and CistromeMap for submitting newly available datasets. It also allows users to leave comments to facilitate data evaluation and update.

Proper citation: CistromeFinder (RRID:SCR_005405) Copy   

•   Source: SciCrunch Registry

http://www.ucl.ac.uk/cardiovasculargeneontology/

Full Gene Ontology annotation to genes associated with cardiovascular processes. Every GO annotation made, is attributed to an identified source, such as a publication identifier (PMID), and an indication of the type of evidence which supports the association between the gene product and the GO term. Over 4,000 cardiovascular associated genes have been identified. A variety of tools have been provided to enable cardiovascular scientists to review the annotation of their ''''favorite'''' gene and suggest information that may be missing, inaccurate or incomplete in these annotations. Annotation suggestions can be sent through the feedback form or by email. The Gene Ontology (GO) vocabulary is the established standard for the functional annotation of gene products. By using GO to curate scientific literature and by integrating results from high-quality high-throughput experiments they will create an information-rich resource for the cardiovascular-research community, enabling researchers to rapidly evaluate and interpret existing data and generate hypotheses to guide future research.

Proper citation: Cardiovascular Gene Ontology Annotation Initiative (RRID:SCR_004795) Copy   

•   Source: SciCrunch Registry

http://www.stanford.edu/~rnusse/pathways/targets.html

A list of target genes of Wnt/beta-catenin signaling. Suggestions for additions are welcome. Direct targets are defined as those with Tcf binding sites and demonstrating that these sites are important.

Proper citation: Target genes of Wnt/beta-catenin signaling (RRID:SCR_007022) Copy   

•   Source: SciCrunch Registry

http://www.icmic.net/

Imaging core offering multiple small animal imaging modalities including MicroSPECT, Optical imaging, MicroCT and Ultrasound have been centralized together with a unit for probe development and a vivarium for the housing of animals in one laboratory.

Proper citation: In-Vivo Cellular and Molecular Imaging Center, Brussels (RRID:SCR_008047) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/dna-microarray-core-facility-ualbany

Core provides microarray services for Affymetrix GeneChip arrays, Agilent microarrays, NimbleGen microarrays and custom-produced spotted cDNA microarrays. Projects developed through DNA Microarray Center have made use of arrays from variety of genomes, eukaryotic, prokaryotic, and plant. Core services includes RNA/DNA isolation, gene expression, miRNA, Chip-chip, Rip-chip and DNA methylation services. Provides bioinformatics tools for further analysis of results of expression experiments.

Proper citation: University at Albany Center for Functional Genomics DNA Microarray Core Facility (RRID:SCR_012502) Copy   

•   Source: SciCrunch Registry

http://www.salk.edu/science/core-facilities/functional-genomics/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 5,2024.Core facility that provides Salk researchers access to gene expression analysis services such as whole-genome expression and genotyping using Affymetrix GeneChip technology, high-throughput qPCR and SNP services using Fluidigm Biomark System and Applied Biosystems 7900HT System, and DNA miniprep extraction using Qiagen BioRobot.

Proper citation: Salk Institute Functional Genomics Core Facility (RRID:SCR_014841) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/scran.html

Software package for low-level analyses of single-cell RNA-seq data. Used for quality control, data exploration and normalization, cell cycle phase assignment, identification of highly variable and correlated genes, clustering into subpopulations and marker gene detection.

Proper citation: scran (RRID:SCR_016944) Copy   

•   Source: SciCrunch Registry

https://github.com/maypoleflyn/BSATOS

Software tools for next generation sequencing based bulked segregation analysis for outbreeding species including fruit trees such as apple or cirtus. Used to improve gene mapping efficiency of next generation sequencing based segregant analysis in outbreeding species and realize rapid candidate gene mining based on multi-omics data.

Proper citation: Bulked segregation analysis tools for outbreeding species (RRID:SCR_017009) Copy   

•   Source: SciCrunch Registry

http://portal.brain-map.org/

Portal provides access to data and web based applications created for benefit of global research community by Allen Institute for Brain Science. Projects to ombine genomics with neuroanatomy by creating gene expression maps for mouse and human brain. Mouse Brain Atlas, Human Brain Atlas, Developing Mouse Brain Atlas, Developing Human Brain Atlas, Mouse Connectivity Atlas, Non-Human Primate Atlas, and Mouse Spinal Cord Atlas and three related projects Glioblastoma, Mouse Diversity, and Sleep data banks, are used to advance various fields of science especially in neurobiological diseases.

Proper citation: Allen Brain Atlas (RRID:SCR_017001) Copy   

•   Source: SciCrunch Registry

https://github.com/ehodzic/cd-CAP

Software designed for simultaneous detection of connected subnetworks of an interaction network where genes exhibit conserved alteration patterns across tumor samples.

Proper citation: cd-CAP software (RRID:SCR_016843) Copy   

•   Source: SciCrunch Registry

https://www.networkanalyst.ca/

Web tool for gene expression profiling, meta-analysis and systems understanding. Used for statistical, visual and network-based meta-analysis of gene expression data.

Proper citation: NetworkAnalyst (RRID:SCR_016909) Copy   

•   Source: SciCrunch Registry

https://github.com/PGB-LIV/VAPPER

Software tool for analysis of variant antigens in African trypanosomes. Used for quantitative analysis of antigenic diversity in systems data of genomes, transcriptomes, and proteomes, called Variant Antigen Profiling to understand how antigenic diversity relates to clinical outcome, how antigen genes may be used as epidemiological markers of virulence, and in measuring gene expression during experimental infections.

Proper citation: VAPPER (RRID:SCR_016993) Copy   

•   Source: SciCrunch Registry

https://www.sciencescott.com/pyminer

Software tool to automate cell type identification, cell type-specific pathway analyses, graph theory-based analysis of gene regulation, and detection of autocrine-paracrine signaling networks. Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq.

Proper citation: PyMINEr (RRID:SCR_016990) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/jtreeview/

Software as a cross platform gene expression visualization tool. Extensible viewer for microarray data in the PCL or CDT format. Interactive display of clustered gene expression data. Java application for visualizing large data matrices. It can load a dataset, cluster it, browse it, customize its appearance and export it into a figure.

Proper citation: Java Treeview (RRID:SCR_016916) Copy   

•   Source: SciCrunch Registry

https://pachterlab.github.io/sleuth/about

Software tool for analysis of RNA-Seq experiments for which transcript abundances have been quantified with kallisto. Used for the differential analysis of gene expression data that utilizes bootstrapping in conjunction with response error linear modeling to decouple biological variance from inferential variance.

Proper citation: sleuth (RRID:SCR_016883) Copy   

•   Source: SciCrunch Registry

http://www.bx.psu.edu/~giardine/vision/

International project to analyze mouse and human hematopoiesis, and provide a tractable system with clear clinical significance and importance to NIDDK. Collection of information from the flood of epigenomic data on hematopoietic cells as catalogs of validated regulatory modules, quantitative models for gene regulation, and a guide for translation of research insights from mouse to human.

Proper citation: ValIdated Systematic IntegratiON of epigenomic data (RRID:SCR_016921) Copy   

•   Source: SciCrunch Registry

https://github.com/flo-compbio/xlmhg

Software Python package as a semiparametric test for enrichment in ranked lists. Used for determining gene set enrichment.

Proper citation: XL-mHG (RRID:SCR_016846) Copy   

•   Source: SciCrunch Registry

http://biotecnun.unav.es:8080/app/TranscriptAchilles

Software genome-wide tool to predict transcript biomarkers of gene essentiality in cancer. This tool can be used to predict new potential target genes with their corresponding biomarkers (either transcript or gene expression).

Proper citation: TranscriptAchilles (RRID:SCR_016849) Copy   

•   Source: SciCrunch Registry

https://github.com/KhiabanianLab/TuBA

Software tool as graph based unsupervised biclustering algorithm to identify alterations in tumors based on hypothesis that gene pairs relevant to clinical process share statistically significant number of samples with extreme expression.

Proper citation: Tunable Biclustering Algorithm (RRID:SCR_017121) Copy   

•   Source: SciCrunch Registry