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https://www.ncnr.nist.gov/resources/n-lengths/

Web tool for thermal neutron cross sections. Data of scattering lengths and corresponding scattering and absorption cross sections of elements. Data go through element number 96Cm. Used for study of condensed matter structure and dynamics.

Proper citation: Neutron Scattering Length and Cross Sections (RRID:SCR_019140) Copy   

•   Source: SciCrunch Registry

https://www.axionbiosystems.com/products/software/neural-module

Neural Module by Axion BioSystems Inc, provides simplified approach to set up, execution and analysis of neural experiments. Enables Maestro Pro and Edge to record and analyze key parameters of neural network function, including activity, synchrony, and network oscillations.

Proper citation: Neural Module (RRID:SCR_019270) Copy   

•   Source: SciCrunch Registry

http://incelldownload.gehealthcare.com/bin/download_data/SoftWoRx/7.0.0/SoftWoRx.htm

Software for acquisition, deconvolution, processing, analysis, and display of DeltaVision images. Used in DeltaVision OMX SR imaging system., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SoftWoRx software (RRID:SCR_019157) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/dcl_model/

Software tool as deep collaborative learning with application to study of multimodal brain development. Uses deep network to represent original data and then seeks their correlations, while also linking data representation with phenotypical information.

Proper citation: Deep Collaborative Learning (RRID:SCR_019258) Copy   

•   Source: SciCrunch Registry

https://github.com/constantAmateur/SoupX

Software R package for estimation and removal of cell free mRNA contamination in droplet based single cell RNA-seq data.

Proper citation: SoupX (RRID:SCR_019193) Copy   

•   Source: SciCrunch Registry

https://github.com/datatagsuite

Software suite to enable discoverability of datasets. Enables submission of metadata on datasets to DataMed. Has core set of elements, which are generic and applicable to any type of dataset, and extended set that can accommodate more specialized data types. Platform independent model developed by NIH BD2K bioCADDIE project for DataMed Data Discovery Index prototype being developed. Also available as annotated serialization in schema.org, which in turn is widely used by major search engines like Google, Microsoft, Yahoo and Yandex.

Proper citation: DatA Tag Suite (RRID:SCR_019236) Copy   

•   Source: SciCrunch Registry

http://www.bionet.nsw.gov.au/

Repository for biodiversity data products managed by Department of Planning, Industry and Environment, New South Wales, Australia. It stores species sightings, systematic surveys, threatened biodiversity records and species names.

Proper citation: NSW BioNet (RRID:SCR_019162) Copy   

•   Source: SciCrunch Registry

https://github.com/xsun28/CloudMerge/

Software for merging massive VCF files into a single VCF file or TPED file. Source codes can be slightly modified to fit into other types of sorted merging of Omics data.

Proper citation: CloudMerge (RRID:SCR_016051) Copy   

•   Source: SciCrunch Registry

https://www.uke.de/english/research/core-facilities/bioinformatics-core-en.html

Core provides bioinformatics services for researchers at University Medical Center Hamburg Eppendorf and related institutions. Focusing on high throughput sequencing data. Services include data analysis, consulting, software development, and bioinformatical training.

Proper citation: University Medical Center Hamburg-Eppendorf Bioinformatics Core Facility (RRID:SCR_017144) Copy   

•   Source: SciCrunch Registry

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

Software tool to evaluate de novo transcriptome assemblies from RNA-Seq data. Consists of RSEM-EVAL and REF-EVAL packages. RSEM-EVAL is reference-free evaluation method. REF-EVAL is reference based and can be used to compare sets of any kinds of genomic sequences.

Proper citation: DETONATE (RRID:SCR_017035) Copy   

•   Source: SciCrunch Registry

http://brainarchitecture.org/allen-atlas-brain-toolbox

Software Matlab toolbox for quantitative analysis of digitized brain wide gene expression data from Allen Atlas of adult mouse brain.

Proper citation: Brain Gene Expression Analysis toolbox (RRID:SCR_017438) Copy   

•   Source: SciCrunch Registry

https://www.addgene.org/collections/covid-19-resources/

Collections of Addgene plasmids, open access articles, protocols, and other resource collections related to COVID-19 that may be of use to scientists. Ordering or depositing plasmids related to COVID-19 research.

Proper citation: COVID-19 and Coronavirus plasmids and resources (RRID:SCR_018347) Copy   

•   Source: SciCrunch Registry

http://fit.genomics.lbl.gov/cgi-bin/myFrontPage.cgi

Web tool for browsing genome wide fitness experiments for diverse bacteria from Deutschbauer lab, the Arkin lab, and collaborators. Collection of mutant phenotypes for bacterial genes of unknown function.

Proper citation: Fitness Browser (RRID:SCR_018981) Copy   

•   Source: SciCrunch Registry

https://www.thegpm.org/crap/

List of proteins commonly found in proteomics experiments that are present either by accident or through unavoidable contamination of protein samples. List is based on analysis of current version of GPMDB, as well as suggestions by users. Current version of cRAP in FASTA format can be obtained from the GPM FTP site.

Proper citation: cRAP protein sequences (RRID:SCR_018187) Copy   

•   Source: SciCrunch Registry

https://support.10xgenomics.com/single-cell-gene-expression/software/visualization/latest/what-is-loupe-cell-browser

Desktop application that provides interactive visualization functionality to analyze data from different 10x Genomics solutions. Used to interrogate different views of 10x data to gain insights into underlying biology.

Proper citation: Loupe Browser (RRID:SCR_018555) Copy   

•   Source: SciCrunch Registry

https://covic.lji.org/

Consortium to unite efforts and resources from experts across globe to advance effective, antibody based therapies against novel coronavirus, SARS-CoV-2. Represents multidisciplinary convergence of structural biology, virologists, immunologists, clinicians and bioinformaticians from academic and industry settings. Collects antibodies for testing as part of CoVICS. Contributed antibodies are blinded and will only be known as code name. Antibody contributors will be able to see performance of their own molecules and take part in analysis. Contributors retain ownership of their antibodies and may continue to publish on them using original antibody names. Goal is to determine relative in vitro potency and in vivo efficacy using centralized standardized assays to identify best individual mAbs and rational combinations of mAbs. Consortium will recommend ideal therapeutic molecules for human use to protect vulnerable populations from COVID-19 disease. CoVIC database (CoVIC-DB) will serve as clearinghouse for monoclonal antibodies against SARS-CoV-2. Database will catalog contributed antibodies in searchable resource and provide interactive analysis tools for comparisons among them.

Proper citation: Coronavirus Immunotherapy Consortium (RRID:SCR_018258) Copy   

•   Source: SciCrunch Registry

https://metagenote.niaid.nih.gov/

Quick and intuitive way to annotate data from genomics studies including microbiome. Project to aid researchers in applying standardized metadata describing what, where, how, and when of samples collected in genomics study. Collection of METAdata of GEnomics studies on web based NOTEbook. Metadata are stored in centralized repository and validated according to guidelines from Genomics Standard Consortium, which are also supported by repositories and large microbiome initiatives such as NCBI, European Bioinformatics Institute (EBI), and Earth Microbiome Project. Upon request from researchers, data will also be submitted for publication via NCBI Sequence Read Archive (SRA) repository.

Proper citation: METAGENOTE (RRID:SCR_018494) Copy   

•   Source: SciCrunch Registry

http://himc.stanford.edu

Core designed for immune monitoring services for clinical and translational studies. Goals include providing standardized, state-of-the art immune monitoring assays at RNA, protein, and cellular level, testing and developing new technologies for immune monitoring, archive, report, and mine data from immune monitoring studies. HIMC uses online database for integration of data from standard HIMC assays, along with de-identified clinical and demographic data.

Proper citation: Stanford University Human Immune Monitoring Center Core Facility (RRID:SCR_018266) Copy   

•   Source: SciCrunch Registry

https://broadinstitute.github.io/warp/docs/Pipelines/Optimus_Pipeline/README

Optimus is a pipeline developed by the Data Coordination Platform (DCP) of the Human Cell Atlas (HCA) Project that supports processing of any 3' single-cell and single-nuclei expression data generated with the 10x Genomic v2 or v3 assay. It is an alignment and transcriptome quantification pipeline that corrects cell barcodes, aligns reads to the genome, corrects Unique Molecular Identifiers (UMIs), generates an expression matrix in a UMI-aware manner, calculates summary metrics for genes and cells, detects empty droplets, returns read outputs in BAM format, and returns gene counts in NumPy matrix and Loom matrix formats.

Proper citation: Optimus Pipeline (RRID:SCR_018908) Copy   

•   Source: SciCrunch Registry

https://cluspro.bu.edu/

Web tool for protein-protein docking. Server provides removal of unstructured protein regions, application of attraction or repulsion, accounting for pairwise distance restraints, construction of homo-multimers, consideration of small-angle X-ray scattering data, and location of heparin-binding sites. Six different energy functions can be used, depending on protein type.This protocol describes use of various options, construction of auxiliary restraints files, selection of energy parameters, and analysis of results.

Proper citation: ClusPro (RRID:SCR_018248) Copy   

•   Source: SciCrunch Registry