We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Web tool tailored to design CRISPR guide RNAs for Eukaryotic pathogens. Used to identify gRNAs in input sequence, and then calculate ranked list of those gRNAs based on on-target and off-target hits in selected or uploaded pathogen genome, to predict gRNA activity and to identified microhomology pairs flanking gRNA targeted cut site.
Software tool providing machine learning approach for identification and classification of CRISPR-Cas systems. Combines regression and classification approaches for improving quality of input protein cassettes and predicting their subtypes.
NIH comprehensive, curated source for publications related to COVID-19. Includes articles from PubMed and pre-prints from arXiv, medRxiv, bioRxiv, and ChemRxiv. Updated daily. NIH Office of Portfolio Analysis has developed this resource to explore and analyze set of advances in COVID‑19 research as they accumulate in real time, and complements efforts by NLM to aggregate full text documents broadly related to COVID-19 and other outbreaks, and articles on COVID‑19 specific to PubMed database.
Web server for cancer and normal gene expression profiling and interactive analyses. Interactive web server for analyzing RNA sequencing expression data of tumors and normal samples from TCGA and GTEx projects, using standard processing pipeline. Provides customizable functions such as tumor or normal differential expression analysis, profiling according to cancer types or pathological stages, patient survival analysis, similar gene detection, correlation analysis and dimensionality reduction analysis.
Portal to obtain genomic information on Mnemiopsis. Data available provide annotations and other key biological information not available elsewhere. Used to advance research projects aimed at understanding phylogenetic diversity and evolution of proteins that play fundamental role in metazoan development. Collection of sequenced, assembled, annotated, and performed preliminary analysis of genome of Mnemiopsis.
Software Julia package that implements iterative hard thresholding as multiple regression model for GWAS. Built-in support for handling PLINK and VCF files, parallel computing, fits a variety of GLM models, and handles grouping/weighting SNPs.
Portal includes vocabulary to assist global response to Coronavirus outbreak. Creates, maintains, and promotes schemas for structured data.
Information about coronaviruses, including COVID-19. NIAID provides research funding and resources for scientific community to facilitate development of vaccines, therapeutics, and diagnostics for infectious diseases, including those caused by coronaviruses.
Committee provides expert consultation on data elements and systems design for modeling and decision making for COVID-19 pandemic. Assembled at request of White House Office of Science and Technology Policy and Office of Assistant Secretary for Preparedness and Response in response to COVID-19 outbreak. Provides expert consultations on several topics, such as surface stability and incubation, social distancing, and crisis standards of care.
Group of volunteer data scientists, machines learning experts, bioinformaticians and professional software developers who have joined together to offer their expertise for any data analysis problems that arise in context of ongoing coronavirus pandemic.
Consortium encompasses computing capabilities from powerful and advanced computers in the world. Used to empower researchers to accelerate understanding of COVID-19 virus and development of treatments and vaccines to help address infections. Teams who receive Consortium access will publish their results in open scientific literature. All supported projects will have name of principal investigator, project title and project abstract posted to COVID-19 HPC Consortium web site.
Cloud resources for COVID-19 research provided by Rescale, Google Cloud, and Microsoft Azure. High performance computing resources immediately available for COVID-19 research.
Network as federated AI-ready repository of COVID-19 data adherent to FAIR principles. SARS CoV-2 virus data FAIR, meaning that they are Findable, Accessible, Interoperable and thus Reusable by both humans and machines, during this epidemic of COVID-19.
Data warehouse using Observational Medical Outcomes Partnership standard to integrate patient data across University of California health systems. Data asset created by electronic health records from six health systems as well as claims data from UC self-funded health plans and external sources of data such as Vizient and California Office of Statewide Health Planning and Development. Shared data and analytic environment designed to improve research and patient treatments.
Guidelines for data deposition in any common data hub or platform to facilitate data sharing in public health emergencies for scientific research.
Resource to aggregate all outbreak information into single location during outbreaks of emerging diseases, such as COVID-19.
Portal for COVID-19 modeling research. Public access data collections with documented metadata.Computational models to study transmission dynamics of broad range of infectious diseases.
NLM curated literature hub for COVID-19. Curated literature hub for tracking up-to-date scientific information about 2019 novel Coronavirus. Provides central access to relevant articles in PubMed. Articles are updated daily and are further categorized by different research topics and geographic locations for improved access.
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.
Broad Terra cloud workspace for best practices with COVID-19 genomics data. Raw COVID-19 sequencing data from NCBI Sequence Read Archive. Workflows for genome assembly, quality control, metagenomic classification, and aggregate statistics.