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http://fmri.uib.no/index.php?option=com_content&view=article&id=53&Itemid=78

Software package as a set of Matlab tools which allow the correction of fMRI-related gradient artifacts from EEG data. Designed to work within the EEGLAB environment, providing a GUI to remove fMRI gradient artifacts from the EEG. Can also be used from the Matlab command line, providing expert users with the ability to use them in custom scripts.

Proper citation: The Bergen fMRI Toolbox Plugin for EEGLab (RRID:SCR_016335) Copy   

•   Source: SciCrunch Registry

http://cole-trapnell-lab.github.io/monocle-release/docs/

Software package for analyzing single cell gene expression, classifying and counting cells, performing differential expression analysis between subpopulations of cells, and reconstructing cellular trajcectories. Works well with very large single-cell RNA-Seq experiments containing tens of thousands of cells or more. Used in computational analysis of gene expression data in single cell gene expression studies to profile transcriptional regulation in complex biological processes and highly heterogeneous cell populations.

Proper citation: Monocle2 (RRID:SCR_016339) Copy   

•   Source: SciCrunch Registry

https://github.com/KM-Lab/Electrographic-Seizure-Analyzer

Software to automate analysis of electrographic seizures based on EEG or LFP data, featuring customizable thresholds and parameters for event detection and parameter setting.

Proper citation: Electrographic Seizure Analyzer (RRID:SCR_016344) Copy   

•   Source: SciCrunch Registry

http://jvenn.toulouse.inra.fr/app/example.html

JavaScript plug-in software application for web environments to analyze data. It is an interactive Venn diagram viewer.Used for comparing lists with Venn Diagrams. It handles up to six input lists and presents results using classical or Edwards-Venn layouts. User interactions can be controlled and customized.

Proper citation: jVenn (RRID:SCR_016343) Copy   

•   Source: SciCrunch Registry

https://github.com/jkrijthe/Rtsne

Software as R wrapper for Van der Maaten's Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding. Used for high-dimentional data visualisation.

Proper citation: Rtsne (RRID:SCR_016342) Copy   

•   Source: SciCrunch Registry

https://amp.pharm.mssm.edu/biojupies/

Software as an open source web server that automatically generates RNA-seq data analysis of jupyter notebooks. It allows creation and containment of documents that have live code, visualizations and narrative text.

Proper citation: BioJupies (RRID:SCR_016346) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/MAST.html

Software as an open source package for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.

Proper citation: MAST (RRID:SCR_016340) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://pdc.cancer.gov/pdc/

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://www.gisaid.org/

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   

•   Source: SciCrunch Registry

https://amp.pharm.mssm.edu/covid19/

Software tool as interface to submit, serve, and analyze COVID19 related gene and drug sets. Collection of gene and drug sets related to COVID-19 research contributed by community.

Proper citation: COVID-19 Crowd Generated Gene and Drug Set Library (RRID:SCR_018252) Copy   

•   Source: SciCrunch Registry

https://github.com/sysu-yanglab/TDimpute

Software tool to transfer learning based deep neural network to impute missing gene expression data from DNA methylation data.

Proper citation: TDimpute (RRID:SCR_018306) Copy   

•   Source: SciCrunch Registry

http://glycam.org/

Web provides tools for modeling 3D structures of molecules and complexes containing carbohydrates including oligosaccharide conformation modeling and glycoprotein 3D structure modeling. Used to simplify prediction of three dimensional structures of carbohydrates and macromolecular structures involving carbohydrates.

Proper citation: GLYCAM-Web (RRID:SCR_018260) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry