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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
Open source project to harness scientific and public health potential of pathogen genome data. Provides continually updated view of publicly available data alongside powerful analytic and visualization tools for use by community. Used to aid epidemiological understanding and improve outbreak response. Open source SARS-CoV-2 genome data and analytic and visualization tools.
Proper citation: Nextstrain (RRID:SCR_018223) Copy
https://github.com/AllenInstitute/AllenSDK
Software tool as code for processing and analyzing data in Allen Brain Atlas. Source code for reading and processing Allen Brain Atlas data. Allen SDK focuses on Allen Brain Observatory, Cell Types Database, and Mouse Brain Connectivity Atlas.
Proper citation: Allen Software Development Kit (RRID:SCR_018183) Copy
http://www.cbs.dtu.dk/services/NetMHCpan/
Web server for quantitative prediction of peptide binding to any MHC molecule of known sequence using artificial neural networks. Characterizes binding specificity of given major histocompatibility complex molecule and predicts peptide length profile and peptide binding affinity. NetMHCpan 3.0 is improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length data sets. NetMHCpan 4.0 is trained on naturally eluted ligands and on peptide binding affinity data. NetMHCpan-4.1 server predicts binding of peptides to any MHC molecule of known sequence using artificial neural networks (ANNs).
Proper citation: NetMHCpan Server (RRID:SCR_018182) Copy
http://www.imgt.org/IMGTrepertoire/
Web resource for immunoglobulins (IG), T cell receptors (TR) and major histocompatibility (MH) and related proteins of immune system (RPI). Comprises LIGM expertized data on immunoglobulins (IG), T cell receptors (TR) and major histocompatibility (MH) and related proteins of immune system.
Proper citation: IMGT Repertoire (RRID:SCR_018220) Copy
Software package for analysis of expression dynamics in single cell RNA seq data. Enables estimations of RNA velocities of single cells by distinguishing unspliced and spliced mRNAs in standard single-cell RNA sequencing protocols. Estimates RNA velocity in single cell RNA sequencing datasets. RNA velocity estimation in Python or R.
Proper citation: Velocyto (RRID:SCR_018167) Copy
https://github.com/astroML/astroML
Software Python package for machine learning, statistics and data mining. Contains library of statistical and machine learning routines for analyzing astronomical data in Python, loaders for several open astronomical data sets, and examples of analyzing and visualizing astronomical data sets. Repository of common tools and routines used for statistical data analysis in astronomy and astrophysics.
Proper citation: astroML (RRID:SCR_018138) Copy
https://github.com/r3fang/SnapTools
Software tool as module for working with snap files in Python. Snap files are designed for storing single nucleus ATAC-seq datasets.
Proper citation: SnapTools (RRID:SCR_018097) Copy
Portal to share hCoV-19 genome sequences. Collection of genome sequences and related clinical and epidemiological data associated with coronavirus hCoV-19. Global repository of SARS-CoV-2 genomes. Initiative involves public-private-partnerships between Freunde of GISAID and governments of Federal Republic of Germany, Singapore and United States of America, with support from private and corporate philanthropy.International database of hCoV-19 genome sequences and related clinical and epidemiological data. Resource for influenza and hCoV-19 data.
Proper citation: Global Initiative on Sharing All Influenza Data (RRID:SCR_018251) Copy
Community software Pyton library for astronomy. Collection of software packages written in Python programming language for use in astronomy. Package contains key functionality and common tools needed for performing astronomy and astrophysics with Python. Core of Astropy Project, which aims to enable community to develop ecosystem of Affiliated Packages covering broad range of needs for astronomical research, data processing, and data analysis.
Proper citation: astropy (RRID:SCR_018148) Copy
https://tripod.nih.gov/curvefit/
Large scale dose response curve fitting and curve classification software. Automated curve fitting and classificatoin software. Web deployed software. Algorithm recognizes bell shaped curves, implements standard hill equation, extensible for other models.
Proper citation: NCGC CurveFit (RRID:SCR_018079) Copy
https://github.com/galaxyproteomics/mvpapplication-git.git
Software tool as plugin to enable viewing of results produced from workflows integrating genomic sequencing data and mass spectrometry proteomics data. Plugin to Galaxy bioinformatics workbench which enables visualization of mass spectrometry-based proteomics data integrated with genomic and/or transcriptomic sequencing data. Useful for verifying quality of results and characterizing novel peptide sequences identified using multi-omic proteogenomic approach.
Proper citation: Multi-omics Visualization Platform (RRID:SCR_018077) Copy
https://CRAN.R-project.org/package=biomod2
Software R package for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization.
Proper citation: biomod2 (RRID:SCR_018246) Copy
http://statistika.mfub.bg.ac.rs/interactive-linegraph/
Interactive web based tool for creating line graphs for scientific publications. Users can view different summary statistics, examine lines for any individual in data, focus on time points or groups of interest, and view changes between any two time points and conditions.
Proper citation: Interactive Line Graph (RRID:SCR_018334) Copy
https://huygens.science.uva.nl/PlotsOfData/
Web app for visualizing data together with their summaries. Visualizes data and statistics to enable comparison of experimental conditions. Written in R and uses packages including shiny, ggplot2, dplyr, tidyr, readr, magrittr, ggbeeswarm, readxl, DT. Github page of PlotsOfData can be used to trace changes between different versions.
Proper citation: PlotsOfData (RRID:SCR_018333) Copy
https://webs.iiitd.edu.in/raghava/coronavir
Web based platform on COVID-19 to maintain predicted diagnostic, drug and vaccine candidates and computational resources on novel coronavirus SARS-CoV-2 and its resulting disease COVID-19. Provides collected and organized information from literature and other resources from internet, links to appropriate literature . Integrated multi-omics repository dedicated to current genomic, proteomic, diagnostic and therapeutic knowledge about coronaviruses.
Proper citation: CoronaVIR (RRID:SCR_018338) Copy
https://professional.diabetes.org/content-page/covid-19
Web page created by American Diabetes Association. Contains resources and information about COVID-19 for diabetes professionals and patients. ADA also provides online forum, webinar series and podcast. Online forum to exchange questions, answers, and best practices with leading clinicians from diabetes community. All ADA members can contribute, and any interested health professional can read forum and responses.
Proper citation: American Diabetes Association COVID-19 Resources and Webinar Series (RRID:SCR_018346) Copy
https://www.ebi.ac.uk/ena/pathogens/covid-19
Data collection related to COVID-19 held at EMBL-EBI , including sequences of outbreak isolates and records related to coronavirus biology, protein expression, protein sequence, protein structure, proteome and translatome data and literature.
Proper citation: EMBL-EBI Pathogens - COVID-19 (RRID:SCR_018343) Copy
https://bigd.big.ac.cn/ncov/?lang=en
Bioinformation related to COVID-19. Site developed and maintained by China National Center for Bioinformation. Collection of sequences, genome variations, publication, clinical resource data.
Proper citation: 2019 Novel Coronavirus Resource (2019nCoVR) by China National Center for Bioinformation (RRID:SCR_018342) Copy
Portal to make cancer related proteomic datasets easily accessible to public. Facilitates multiomic integration in support of precision medicine through interoperability with other resources. Developed to advance our understanding of how proteins help to shape risk, diagnosis, development, progression, and treatment of cancer. One of several repositories within NCI Cancer Research Data Commons which enables researchers to link proteomic data with other data sets (e.g., genomic and imaging data) and to submit, collect, analyze, store, and share data throughout cancer data ecosystem. PDC provides access to highly curated and standardized biospecimen, clinical, and proteomic data, intuitive interface to filter, query, search, visualize and download data and metadata. Provides common data harmonization pipeline to uniformly analyze all PDC data and provides advanced visualization of quantitative information. Cloud based (Amazon Web Services) infrastructure facilitates interoperability with AWS based data analysis tools and platforms natively. Application programming interface (API) provides cloud-agnostic data access and allows third parties to extend functionality beyond PDC. Structured workspace that serves as private user data store and also data submission portal. Distributes controlled access data, such as patient-specific protein fasta sequence databases, with dbGaP authorization and eRA Commons authentication.
Proper citation: Proteomic Data Commons (RRID:SCR_018273) Copy
https://www.ncbi.nlm.nih.gov/genbank/sars-cov-2-seqs/
Collection of SARS-CoV-2 sequences currently available in GenBank genetic sequence database and Sequence Read Archive. Updated as additional sequences are released.
Proper citation: SARS-CoV-2-Sequences (RRID:SCR_018319) Copy
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