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Commercial collaborative research platform for hosting and analyzing datasets.Data platform for academic research. Redivis provides organizations with central hub where researchers can easily discover, access, and analyze their data.
Proper citation: Redivis (RRID:SCR_023111) Copy
https://github.com/zhenzonglei/abat
Software stores mutiple MATLAB functions to read, analyze, and visualize various kinds of data from Allen Brain Atlas.
Proper citation: Allen Brain Atlas Tools (RRID:SCR_023855) Copy
Platform provides tools, data, services, apps and community resources for geoscience researchers. EarthCube community works together to influence how data will be collected accessed, analyzed, visualized, shared and archived; participate in interdisciplinary and collaborative research; and contribute to transformation of geoscience research through emerging practices of digital scholarship, data and software stewardship, and open science.
Proper citation: EarthCube (RRID:SCR_024576) Copy
https://californiacoastalatlas.net/
Resource designed to publish information and data about California coast reflecting current scientific understanding and data for the purpose of informing public policy and advancing the understanding of coastal processes.
Proper citation: California Coastal Atlas (RRID:SCR_024554) Copy
https://www.cernerenviza.com/syndicated-insights-and-reports-for-life-sciences/cancermpact
American healthcare company that provides data, analytics, and research to the life sciences industry, with particular focus on oncology and rare diseases.
Proper citation: Cerner Enviza (RRID:SCR_024435) Copy
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
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