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http://www.nsgc.org/

Professional society of genetic counselors that promotes networking, continuing education opportunities, advocacy, and discussion of relevant issues in the field of genetics.

Proper citation: National Society of Genetic Counselors (RRID:SCR_001803) Copy   

•   Source: SciCrunch Registry
  

http://www.bioconductor.org/packages/release/bioc/html/RchyOptimyx.html

Software that constructs a hierarchy of cells using flow cytometry for maximization of an external variable (e.g., a clinical outcome or a cytokine response).

Proper citation: RchyOptimyx (RRID:SCR_001889) Copy   

•   Source: SciCrunch Registry
  

https://code.google.com/p/tbrowse/

Software providing a HTML5/javascript based browser for visualizing RNA-seq results in the familiar track layout of common genome browser. But given the quantitative nature of RNA-seq data, in addition to visualizing sequence coverage, the browser quantitates transcript abundance across regions of interest. The HTML5 functionality is made of use to render all the tracks using the canvas drawing element. This greatly reduces the load on servers and allows for rich interactive graphics without the need for third-party plugins. Furthermore, this framework completely segregates data from visualization, making development much easier. The browser is designed to run on all modern browsers: Firefox, Safari, Chrome, Opera and Internet Explorer (though not recommended).

Proper citation: tbrowse (RRID:SCR_001918) Copy   

•   Source: SciCrunch Registry
  

http://www-genome.stanford.edu/

This resource hyperlinks to systematic analysis projects, resources, laboratories, and departments at Stanford University.

Proper citation: Stanford Genomic Resourses (RRID:SCR_001874) Copy   

•   Source: SciCrunch Registry
  

http://www.biochemweb.org/

This site is provided as a service to scientists, educators, students and others simply interested in the Biological subjects. While many of the resources listed on these pages are designed for scientific professionals, those that require little or no background are labeled as Beginner's Level. Topics include: Angiogenesis, Apoptosis, Carbohydrates, Cell Adhesion & ECM, Cell Cycle, Cell Senescence, Chemical Biology, Cytoskeleton & Motility, Development, Enzymes, Genes, Lipids & Membranes, Metabolism, Microscopy, Organelles, Proteins, Signaling, Structural Biology, Systems Biology Other available categories include: General Resources & Tutorials, Scientific Research Groups, Databases & Tools, Methods, Software, Vendors, Books, Journals, Literature Search, Career & Funding, Organizations & Meetings

Proper citation: BioChemWeb.org - The Virtual Library of Biochemistry Molecular Biology and Cell Biology (RRID:SCR_001912) Copy   

•   Source: SciCrunch Registry
  

http://www.researchcatalogue.esrc.ac.uk/grants/RES-149-25-1076/outputs/read/159dcb59-55e8-40bc-9e6b-f580dbdcae64

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Obesity e-Lab is a unique, secure environment for producing, sharing, communicating and finding obesity research between epidemiologists, public health researchers and social scientists. Features of e-Lab: - Tools to share: it enables social and biomedical researchers to share data, information and analytical tools for obesity research. First, it will create a portal to provide access to the platform and facilitate social networking. - Navigation tools: Second, it will generate search and navigation tools for researchers in academic, NHS or local government organizations to find data from administrative and secure data services, via social science views of health datasets, and health science views of social datasets. Within the NHS, e-Lab links records from a variety of administrative and health (and social) care sources for broadly-specified obesity research, and make pseudonymised extracts of NHS-linked datasets available via the portal. - Analytical tools: Third, it will develop analytical tools, focused on: i) easy, reliable and privacy-protecting transformation of geo-codes in health records to other geographies and area-based social and economic measures; ii) epidemiological extensions to geographical information systems; iii) growth-standardization of child obesity measures. The tool-building will employ as much existing software as possible, focusing on the provision of simple, intuitive interfaces to proven software to make it easy for social or biomedical researchers to use collaboratively.

Proper citation: National Center for e-Social Science: Obesity e-Lab (RRID:SCR_001796) Copy   

•   Source: SciCrunch Registry
  

http://www.oege.org/

Portal for researchers to locate information relevant to interpretation and follow-up of human genetic epidemiological discoveries, including: a range of population and case and family genetic epidemiological studies, relevant gene and sequence databases, genetic variation databases, trait measurement, resource labs, journals, software, general information, disease genes and genetic diversity.

Proper citation: Online Encyclopedia for Genetic Epidemiology studies (RRID:SCR_001825) Copy   

•   Source: SciCrunch Registry
  

https://www.bioconductor.org/packages//2.10/bioc/html/spade.html

An analysis and visualization software tool for high dimensional flow cytometry data that organizes cells into hierarchies of related phenotypes.

Proper citation: SPADE (RRID:SCR_001810) Copy   

•   Source: SciCrunch Registry
  

http://www.nesys.uio.no/Micro3D/

The Micro3D 2004 is a software for 3-D reconstruction, visualization, and analysis of neuronal populations and brain regions. Micro3D generates geometric models from line and point coded data sets, representing labeled objects such as cell bodies or axonal plexuses, and boundaries of brain regions in serial sections. Data are typically imported from image-combining computerized microscopy systems, such as Neurolucida (MicroBrightField, Colchester, VT). The models may be rotated and zoomed in real-time. Surfaces are re-synthesized on the basis of stacks of contour lines. Clipping is used for defining section-independent subdivisions of the model. Flattening of sheets of points in curved layers (e.g., neurons in a cortical lamina) facilitates inspection of complicated distribution patterns. Micro3D computes color-coded density maps, and allows production of mpeg videos. Micro3D 2004 runs on LINUX PCs equipped with Open Inventor. It performs operations similar to the Silicon Graphics based version that has been used in more than 25 investigations and in various species, ranging from insects to monkeys, at the LM- and EM-level. Sponsors:Micro 3D was developed with support from The Research Council of Norway and The Oslo Research Park / FORNY.

Proper citation: Neural Systems and Graphics Computing Laboratory: Micro3D Software (RRID:SCR_001811) Copy   

•   Source: SciCrunch Registry
  

http://www.kindai.ac.jp/english/

Private non-sectarian and coeducational university based in Higashiosaka, Osaka, Japan.

Proper citation: Kindai University; Osaka; Japan (RRID:SCR_001814) Copy   

•   Source: SciCrunch Registry
  

http://sammeth.net/confluence/display/ASTA/2+-+Download

Tool that extracts and displays alternative splicing (AS) events from a given genomic annotation of exon-intron gene coordinates. By comparing all given transcripts, it detects the variations in their splicing structure and identifies all AS events (like exon skipping, alternate donor, etc) by assigning to each of them an AS code. It provides a visual summary of the AS landscape in the analyzed dataset, the possibility to browse the results on the UCSC website or to download them in GTF or ASTA format. You can use AStalavista for any genome by providing your own annotation set, the identifier of your gene(s) of interest, or analyze the AS landscape of reference annotation datasets like Gencode, RefSeq, Ensembl, FlyBase, etc.

Proper citation: AStalavista (RRID:SCR_001815) Copy   

•   Source: SciCrunch Registry
  

http://deweylab.biostat.wisc.edu/psginfer/

Software for inference of alternative splicing from RNA-Seq data with probabilistic splice graphs.

Proper citation: PSGInfer (RRID:SCR_000243) Copy   

•   Source: SciCrunch Registry
  

http://www.structbioinfor.org/cascleave2/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A novel tool developed using Java program for the high-throughput in silico identification of substrate cleavage sites for various caspases from the amino acid sequences of the substrates.

Proper citation: Cascleave (RRID:SCR_000197) Copy   

•   Source: SciCrunch Registry
  

http://www.bioconductor.org/packages/release/bioc/html/HEM.html

Software package that fits heterogeneous error models for analysis of microarray data

Proper citation: HEM (RRID:SCR_000194) Copy   

•   Source: SciCrunch Registry
  

http://www.aetionomy.eu/

Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.

Proper citation: AETIONOMY (RRID:SCR_000232) Copy   

•   Source: SciCrunch Registry
  

http://molegro-virtual-docker.software.informer.com/

An integrated platform for predicting protein-ligand interactions, the visualization of new ideas and analyzing protein targets.

Proper citation: Molegro Virtual Docker (RRID:SCR_000190) Copy   

•   Source: SciCrunch Registry
  

http://www.zju.edu.cn/english/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A public research university with twelve main academic disciplines that include science, engineering, agriculture and medicine. The university has campuses across China in locations such as Yuquan, Zhijiang and Zhoushan. It has studies available in undergraduate, graduate and post-doctorate degrees.

Proper citation: Zhejiang University; Zhejiang; China (RRID:SCR_000224) Copy   

•   Source: SciCrunch Registry
  

http://www.paradyn.org/mrnet/

A software-based network that provides efficient multicast and reduction communications for parallel and distributed tools and systems. Some key features of this resource include scalable data aggregation, multiple concurrent data channels and high-bandwidth communication.

Proper citation: MRNet (RRID:SCR_000225) Copy   

•   Source: SciCrunch Registry
  

http://deweylab.biostat.wisc.edu/rsem/

Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.

Proper citation: RSEM (RRID:SCR_000262) Copy   

•   Source: SciCrunch Registry
  

http://www.tcd.ie/

A public university, which is a part of the University of Dublin, and contains three main academic disciplines: Arts, Humanities and Social Sciences; Engineering, Mathematics and Sciences; and Health Sciences. The institution offers degrees at the undergraduate and graduate level.

Proper citation: Trinity College Dublin; Dublin; Ireland (RRID:SCR_000261) Copy   

•   Source: SciCrunch Registry