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http://ontodog.hegroup.org/index.php
Ontodog is a web-based ontology view generator. It can generate inSubset annotation ontology, user preferred label annotation ontology and subset of source ontology. Simply provide Ontodog input term file (Microsoft Excel file or tab-delimited text file), select one source ontology or enter your own source ontology and SPARQL endpoint, then set the settings for Ontodog output files and get the OWL (RDF/XML) Output files. Ontodog performs the basic ontology modularization-like function, i.e.,it automatically extracts all axioms and related terms associated with user-specified signature term(s). In addition, Ontodog includes extra features: (1) extracting all instance data associated with the retrieved class terms and annotations; and (2) recursively extracting all axioms and related terms indirectly associated with signature terms. More features are being added to Ontodog, such as relabeling preferred names for various ontology terms to fit in with the needs from a specific community. The Ontodog input data requires a source ontology and a list of user-specified signature terms in tab-delimited format. Ontodog provides the template files for generating the signature terms as the input terms file to download. There are several output options that the users can choose based on their needs. With more and more ontologies being developed, Ontodog offers a timely web-based package of solutions for ontology view generation. Ontodog provides an efficient approach to promote ontology sharing and interoperability. It is easy to use and does not require knowledge of SPARQL, script programming, and command line operation. Ontodog is developed to serve the ontology community for ontology reuse. It is freely available under the Apache License 2.0. The source code is made available under Apache License 2.0.
Proper citation: Ontodog: A Web-based Ontology View Generator (RRID:SCR_005061) Copy
http://www.mouse-genome.bcm.tmc.edu/ENU/MutagenesisProj.asp
THIS RESOURCE IS NO LONGER IN SERVICE. For updated mutant information, please visit MMRRC or The Jackson Laboratory. Produces, characterizes, and distributes mutant mouse strains with defects in embryonic and postembryonic development. The goal of the ENU Mutagenesis project III is to determine the function of genes on mouse Chromosome 11 by saturating the chromosome with recessive mutations. The distal 40 cM of mouse Chr 11 exhibits linkage conservation with human Chromosome 17. We are using the chemical N-ethyl-N-nitrosourea (ENU) to saturate wild type chromosomes with point mutations. By determining the function of genes on a mouse chromosome, we can extrapolate to predict function on a human chromosome. We expect many of the new mutants to represent models of human diseases such as birth defects, patterning defects, growth and endocrine defects, neurological anomalies, and blood defects. Because many of the mutations we expect to isolate may be lethal or detrimental to the mice, we are using a unique approach to isolate mutations. This approach uses a balancer chromosome that is homozygous lethal and carries a dominant coat color marker to suppress recombination over a reasonable interval.
Proper citation: Mouse Mutagenesis Center for Developmental Defects (RRID:SCR_007321) Copy
Software tool to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. It counts cells and also measures the size, shape, intensity and texture of every cell (and every labeled subcellular compartment) in every image. It was designed for high throughput screening but can perform automated image analysis for images from time-lapse movies and low-throughput experiments. CellProfiler has an increasing number of algorithms to identify and measure properties of neuronal cell types.
Proper citation: CellProfiler Image Analysis Software (RRID:SCR_007358) Copy
Web application and database designed for sharing, visualizing, and analyzing protein cross-linking mass spectrometry data with emphasis on structural analysis and quality control. Includes public and private data sharing capabilities, project based interface designed to ensure security and facilitate collaboration among multiple researchers. Used for private collaboration and public data dissemination.
Proper citation: Protein Cross-Linking Database (RRID:SCR_021027) Copy
Software tool for identification of cross-linked peptides from mass spectra. Used for analysis of chemically cross-linked protein complexes. Used to analyze both novel and existing data sets.
Proper citation: Kojak (RRID:SCR_021028) Copy
https://github.com/OpenSMFS/FRETBursts
Software for burst analysis of freely diffusing single-molecule Förster Resonance Energy Transfer (smFRET) experiments to study cellular processes at the molecular scale. Used for single and multi-spot single-molecule FRET (smFRET) data.
Proper citation: FRETBursts (RRID:SCR_016898) Copy
https://github.com/gelles-brandeis/CoSMoS_Analysis
Software tools for analyzing co-localization single-molecule spectroscopy image data.
Proper citation: CoSMoS_Analysis (RRID:SCR_016896) Copy
http://prosightlite.northwestern.edu/
Software application for matching a single candidate protein sequence and its modifications against a set of mass spectrometric observations. Used to analyze top-down mass spectrometry data.
Proper citation: ProSight Lite (RRID:SCR_016908) Copy
http://nrtdp.northwestern.edu/
Organization dedicated to analysis of protein molecules by mass spectrometry, with a focus on intact protein measurements. Biomedical projects originated from clinical and basic research programs that utilize both targeted and untargeted analyses. Used for the development of new technology, training and dissemination of proteomics methods to laboratories and scientists.
Proper citation: National Resource for Translational and Developmental Proteomics (RRID:SCR_016907) Copy
Web tool to search multiple public variant databases simultaneously and provide a unified interface to facilitate the search process. Used for integration of human and model organism genetic resources to facilitate functional annotation of the human genome. Used for analysis of human genes and variants by cross-disciplinary integration of records available in public databases to facilitate clinical diagnosis and basic research.
Proper citation: MARRVEL (RRID:SCR_016871) Copy
https://github.com/PathwayAnalysisPlatform/PathwayMatcher
Software tool for multi omics pathway mapping and proteoform network generation. Open source software writen in Java to search for pathways related to a list of proteins in Reactome.
Proper citation: PathwayMatcher (RRID:SCR_016759) Copy
https://github.com/yarden/MISO/blob/fastmiso/docs/source/sashimi.rst
Software tool for quantitative visualization of aligned RNA-Seq reads that enables quantitative comparison of exon usage across samples or experimental conditions.
Proper citation: Sashimiplot (RRID:SCR_016861) Copy
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
https://github.com/fmaguire/Bridger_Assembler
Software package as de novo trascriptome assembler for RNA-Seq data. Framework for de novo transcriptome assembly using RNA-seq data. Can assemble all transcripts from short reads without using reference. Input RNA-Seq reads in fasta or fastq format, and ouput all assembled candidate transcripts in fasta format. Operating system Unix/Linux.
Proper citation: Bridger (RRID:SCR_017039) Copy
https://www.nature.com/articles/s41467-018-03367-w
Nanodroplet processing platform for deep and quantitative proteome profiling of 10 to 100 mammalian cells. It enhances efficiency and recovery of sample processing by downscaling processing volumes.
Proper citation: nanoPOTS (RRID:SCR_017129) Copy
https://panoramaweb.org/project/home/begin.view?
Repository software for targeted mass spectrometry assays from Skyline. Targeted proteomics knowledge base. Public repository for quantitative data sets processed in Skyline. Facilitates viewing, sharing, and disseminating results contained in Skyline documents.
Proper citation: PanoramaWeb (RRID:SCR_017136) Copy
https://github.com/Barski-lab/cwl-airflow
Software Python package to extend Airflow functionality with Common Workflow Language support. Lightweight pipeline manager supporting Common Workflow Language. Can be used to run workflows on standalone MacOS/Linux servers, on clusters, or on cloud platforms.
Proper citation: CWL-Airflow (RRID:SCR_017196) Copy
https://modbase.compbio.ucsf.edu/foxs/
Web server for computing theoretical scattering profile of structure and fitting of experimental profile. Computes SAXS profile of given atomistic model and fits it to experimental profile. Used for structural modeling applications with small angle X-ray scattering data.
Proper citation: FoXS (RRID:SCR_017269) Copy
http://pathwaynet.princeton.edu/
Web user interface for interaction predictions of human gene networks and integrative analysis of user data types that takes advantage of data from diverse tissue and cell-lineage origins. Predicts presence of functional association and interaction type among human genes or its protein products on whole genome scale. Used to analyze experimetnal gene in context of interaction networks.
Proper citation: PathwayNet (RRID:SCR_017353) Copy
http://neuroproteomics.scs.illinois.edu/microMS.htm
Software Python platform for image guided Mass Spectrometry profiling. Provides graphical user interface for automatic cell finding and point based registration from whole slide images. Simplifies single cell analysis with feature rich image processing.
Proper citation: microMS (RRID:SCR_017443) Copy
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