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http://virtualplant.bio.nyu.edu/cgi-bin/vpweb/

Software platform to support systems biology research. Integrates genomic data and provides visualization and analysis tools for exploration of genomic data. Provides tools to generate biological hypotheses.

Proper citation: VirtualPlant (RRID:SCR_022576) Copy   

•   Source: SciCrunch Registry

https://www.gaitor.org

Software suite to analyse gait trials collected with Experimental Dynamic Gait Arena for Rodents. Used for rodent gait analysis.

Proper citation: GAITOR Suite (RRID:SCR_023031) Copy   

•   Source: SciCrunch Registry

http://www.delsaglobal.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 1, 2022. Organization whose mission is to build and promote a sustainable ecosystem of professional societies, funding agencies, foundations, companies, and citizens together with life science researchers and innovators in computing, infrastructure and analysis with the expressed goal of translating new discoveries into tools, resources and products.

Proper citation: DELSA (RRID:SCR_006231) Copy   

•   Source: SciCrunch Registry

https://www.msu.edu/~brains/brains/human/index.html

A labeled three-dimensional atlas of the human brain created from MRI images. In conjunction are presented anatomically labeled stained sections that correspond to the three-dimensional MRI images. The stained sections are from a different brain than the one which was scanned for the MRI images. Also available the major anatomical features of the human hypothalamus, axial sections stained for cell bodies or for nerve fibers, at six rostro-caudal levels of the human brain stem; images and Quicktime movies. The MRI subject was a 22-year-old adult male. Differing techniques used to study the anatomy of the human brain all have their advantages and disadvantages. Magnetic resonance imaging (MRI) allows for the three-dimensional viewing of the brain and structures, precise spatial relationships and some differentiation between types of tissue, however, the image resolution is somewhat limited. Stained sections, on the other hand, offer excellent resolution and the ability to see individual nuclei (cell stain) or fiber tracts (myelin stain), however, there are often spatial distortions inherent in the staining process. The nomenclature used is from Paxinos G, and Watson C. 1998. The Rat Brain in Stereotaxic Coordinates, 4th ed. Academic Press. San Diego, CA. 256 pp

Proper citation: Human Brain Atlas (RRID:SCR_006131) Copy   

•   Source: SciCrunch Registry

https://www.xsede.org/

XSEDE is a single virtual system that scientists can use to interactively share computing resources, data and expertise. People around the world use these resources and services things like supercomputers, collections of data and new tools to improve our planet. XSEDE resources may be broadly categorized as follows: High Performance Computing, High Throughput Computing, Visualization, Storage, and Data Services. Many resources provide overlapping functionality across categories. Scientists, engineers, social scientists, and humanists around the world - many of them at colleges and universities - use advanced digital resources and services every day. Things like supercomputers, collections of data, and new tools are critical to the success of those researchers, who use them to make our lives healthier, safer, and better. XSEDE integrates these resources and services, makes them easier to use, and helps more people use them. XSEDE supports 16 supercomputers and high-end visualization and data analysis resources across the country. Digital services, meanwhile, provide users with seamless integration to NSF''s high-performance computing and data resources. XSEDE''s integrated, comprehensive suite of advanced digital services will federate with other high-end facilities and with campus-based resources, serving as the foundation for a national cyberinfrastructure ecosystem. Common authentication and trust mechanisms, global namespace and filesystems, remote job submission and monitoring, and file transfer services are examples of XSEDE''s advanced digital services. XSEDE''s standards-based architecture allows open development for future digital services and enhancements. XSEDE also provides the expertise to ensure that researchers can make the most of the supercomputers and tools.

Proper citation: XSEDE - Extreme Science and Engineering Discovery Environment (RRID:SCR_006091) Copy   

•   Source: SciCrunch Registry

http://www.autopack.org/

A specialized version of autoPack designed to pack biological components together. The current version is optimized to pack molecules into cells with biologically relevant interactions to populate massive cell models with atomic or near-atomic details. Components of the algorithm pack transmembrane proteins and lipids into bilayers, globular molecules into compartments defined by the bilayers (or as exteriors), and fibrous components like microtubules, actin, and DNA.

Proper citation: Cellpack (RRID:SCR_006831) Copy   

•   Source: SciCrunch Registry

http://www.nsgportal.org/

Web portal that allows free access to supercomputing resources for large scale modeling and data processing. Portal facilitates access and use of National Science Foundation (NSF) High Performance Computing (HPC) resources by neuroscientists.

Proper citation: Neuroscience Gateway (RRID:SCR_008915) Copy   

•   Source: SciCrunch Registry

http://tulane.edu/som/regenmed/services/index.cfm

The Stem Cell Research and Regenerative Medicine''s Tissue Culture Core provides cells for research use within the department, as well as for distribution to other facilities. The core obtains hMSCs from bone marrow donor samples and expands these cells for research use. The hMSC''s are also characterized for bone, fat and cartilage differentiation, and are stored on site for use. The Tissue Culture Core also handles the expansion and characterization of mouse and rat MSC''s. The animal cells are cultured in a separate area, and never interact with human derived cells. We also have a supply of hMSC''s marked with GFP+, Mito Red and Mito Blue available.

Proper citation: Tulane Stem Cell Research and Regenerative Medicine Tissue Culture Core (RRID:SCR_007342) Copy   

•   Source: SciCrunch Registry

http://phenex.phenoscape.org/

Software application for annotating character matrix files with ontology terms. Character states can be annotated using Entity-Quality syntax, where entity, quality, and possibly related entities are drawn from requisite ontologies. In addition, taxa (the rows of a character matrix) can be annotated with identifiers from taxonomy ontology. Phenex saves ontology annotations alongside original free text character matrix data using new NeXML format standard for evolutionary data.

Proper citation: Phenex (RRID:SCR_021748) Copy   

•   Source: SciCrunch Registry

https://github.com/mourisl/Rcorrector

Software tool as kmer based error correction method for RNAseq data. Can also be applied to other types of sequencing data where read coverage is nonuniform, such as single cell sequencing. Used for error correction for Illumina RNAseq reads.

Proper citation: Rcorrector (RRID:SCR_022011) Copy   

•   Source: SciCrunch Registry

https://github.com/Benson-Genomics-Lab/TRF

Software tool to locate and display tandem repeats in DNA sequences. Program to analyze DNA sequences.

Proper citation: Tandem Repeats Finder (RRID:SCR_022193) Copy   

•   Source: SciCrunch Registry

https://github.com/marbl/MashMap

Software tool as fast approximate aligner for long DNA sequences. Used for computing local alignment boundaries between long DNA sequences.

Proper citation: MashMap (RRID:SCR_022194) Copy   

•   Source: SciCrunch Registry

http://hymao.org

A structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, sawflies and ants)

Proper citation: Hymenoptera Anatomy Ontology (RRID:SCR_003340) Copy   

•   Source: SciCrunch Registry

https://github.com/mandricigor/ScaffMatch

Software tool as scaffolding algorithm based on maximum weight matching able to produce high quality scaffolds from next generation sequencing data (reads and contigs). Able to handle reads with both short and long insert sizes.

Proper citation: ScaffMatch (RRID:SCR_017025) Copy   

•   Source: SciCrunch Registry

https://github.com/taborlab/FlowCal

Open source software tool for automatically converting flow cytometry data from arbitrary to calibrated units. Can be run using intuitive Microsoft Excel interface, or customizable Python scripts. Software accepts Flow Cytometry Standard (FCS) files as inputs and is compatible with different calibration particles, fluorescent probes, and cell types. Automatically gates data, calculates common statistics, and produces plots.

Proper citation: FlowCal (RRID:SCR_018140) Copy   

•   Source: SciCrunch Registry

https://cloudreg.neurodata.io/

Software automated, terascale, cloud based image analysis pipeline for preprocessing and cross modal, nonlinear registration between volumetric datasets with artifacts. Automatic terabyte scale cross modal brain volume registration.

Proper citation: CloudReg (RRID:SCR_022795) Copy   

•   Source: SciCrunch Registry

https://github.com/Kingsford-Group/kourami

Software graph guided assembly for novel human leukocyte antigen allele discovery. Graph guided assembly for HLA haplotypes covering typing exons using high coverage whole genome sequencing data.Implemented in Java and supported on Linux and Mac OS X.

Proper citation: Kourami (RRID:SCR_022280) Copy   

•   Source: SciCrunch Registry

https://isamplesorg.github.io/home/

Project to align physical sample identifiers. Used to design, develop, and promote service infrastructure to uniquely, consistently, and conveniently identify material samples, record metadata about them, and persistently link them to other samples and derived digital content, including images, data, and publications.

Proper citation: iSamples (RRID:SCR_021750) Copy   

•   Source: SciCrunch Registry

https://github.com/mourisl/Rascaf

Software tool for scaffolding with RNA-seq read alignments. Used for improving genome assembly with RNA sequencing data.

Proper citation: Rascaf (RRID:SCR_022014) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3001096/

Software pipeline to identify MITEs as well as other small Class 2 non autonomous Transposable Elements from genomic DNA data sets. Used for discovering miniature inverted repeat transposable elements from genomic sequences. Can search large genomic data sets including whole genome sequences.

Proper citation: MITE-Hunter (RRID:SCR_020946) Copy   

•   Source: SciCrunch Registry