Genome data of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is essential for virus diagnosis,vaccine development,and variant surveillance.To archive and integrate worldwide SARS-CoV-2 genome data,a serie...Genome data of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is essential for virus diagnosis,vaccine development,and variant surveillance.To archive and integrate worldwide SARS-CoV-2 genome data,a series of resources have been constructed,serving as a fundamental infrastructure for SARS-CoV-2 research,pandemic prevention and control,and coronavirus disease 2019(COVID-19)therapy.Here we present an over-view of extant SARS-CoV-2 resources that are devoted to genome data deposition and integration.We review deposition resources in data accessibility,metadata standardization,data curation and annotation;review integrative resources in data source,de-redundancy processing,data curation and quality assessment,and variant annotation.Moreover,we address issues that impede SARS-CoV-2 genome data integration,including low-complexity,inconsistency and absence of isolate name,sequence inconsistency,asynchronous update of genome data,and mismatched metadata.We finally provide insights into data standardization consensus and data submission guidelines,to promote SARS-CoV-2 genome data sharing and integration.展开更多
The Resource for Coronavirus 2019(RCoV19)is an open-access information resource dedicated to providing valuable data on the genomes,mutations,and variants of the severe acute respiratory syndrome coronavirus 2(SARS-Co...The Resource for Coronavirus 2019(RCoV19)is an open-access information resource dedicated to providing valuable data on the genomes,mutations,and variants of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).In this updated implementation of RCoV19,we have made significant improvements and advancements over the previous version.Firstly,we have implemented a highly refined genome data curation model.This model now features an automated integration pipeline and optimized curation rules,enabling efficient daily updates of data in RCoV19.Secondly,we have developed a global and regional lineage evolution monitoring platform,alongside an outbreak risk pre-warning system.These additions provide a comprehensive understanding of SARS-CoV-2 evolution and transmission patterns,enabling better preparedness and response strategies.Thirdly,we have developed a powerful interactive mutation spectrum comparison module.This module allows users to compare and analyze mutation patterns,assisting in the detection of potential new lineages.Furthermore,we have incorporated a comprehensive knowledgebase on mutation effects.This knowledgebase serves as a valuable resource for retrieving information on the functional implications of specific mutations.In summary,RCoV19 serves as a vital scientific resource,providing access to valuable data,relevant information,and technical support in the global fight against COVID-19.The complete contents of RCoV19 are available to the public at https://ngdc.cncb.ac.cn/ncov/.展开更多
With the development of artificial intelligence(AI)technologies,biomedical imaging data play an important role in scientific research and clinical application,but the available resources are limited.Here we present Op...With the development of artificial intelligence(AI)technologies,biomedical imaging data play an important role in scientific research and clinical application,but the available resources are limited.Here we present Open Biomedical Imaging Archive(OBIA),a repository for archiving biomedical imaging and related clinical data.OBIA adopts five data objects(Collection,Individual,Study,Series,and Image)for data organization,and accepts the submission of biomedical images of multiple modalities,organs,and diseases.In order to protect personal privacy,OBIA has formulated a unified de-identification and quality control process.In addition,OBIA provides friendly and intuitive web interfaces for data submission,browsing,and retrieval,as well as image retrieval.As of September 2023,OBIA has housed data for a total of 937 individuals,4136 studies,24,701 series,and 1,938,309 images covering 9 modalities and 30 anatomical sites.Collectively,OBIA provides a reliable platform for biomedical imaging data management and offers free open access to all publicly available data to support research activities throughout the world.OBIA can be accessed at https://ngdc.cncb.ac.cn/obia.展开更多
基金supported by Strategic Priority Research Program of the Chinese Academy of Sciences[XDB38030201,XDB38030400,XDB38050300]Youth Innovation Promotion Association of Chinese Academy of Sciences[2019104]。
文摘Genome data of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is essential for virus diagnosis,vaccine development,and variant surveillance.To archive and integrate worldwide SARS-CoV-2 genome data,a series of resources have been constructed,serving as a fundamental infrastructure for SARS-CoV-2 research,pandemic prevention and control,and coronavirus disease 2019(COVID-19)therapy.Here we present an over-view of extant SARS-CoV-2 resources that are devoted to genome data deposition and integration.We review deposition resources in data accessibility,metadata standardization,data curation and annotation;review integrative resources in data source,de-redundancy processing,data curation and quality assessment,and variant annotation.Moreover,we address issues that impede SARS-CoV-2 genome data integration,including low-complexity,inconsistency and absence of isolate name,sequence inconsistency,asynchronous update of genome data,and mismatched metadata.We finally provide insights into data standardization consensus and data submission guidelines,to promote SARS-CoV-2 genome data sharing and integration.
基金supported by grants from the National Key R&D Program of China(Grant Nos.2023YFC3041500 and 2021YFF0703703)the Key Collaborative Research Program of the Alliance of International Science Organizations(Grant No.ANSO-CR-KP-2022-09)+2 种基金the National Natural Science Foundation of China(Grant No.32270718)the Beijing Nova Program(Grant No.Z211100002121006)the Youth Innovation Promotion Association of the Chinese Academy of Sciences(Grant Nos.Y2021038 and 2019104),China.
文摘The Resource for Coronavirus 2019(RCoV19)is an open-access information resource dedicated to providing valuable data on the genomes,mutations,and variants of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).In this updated implementation of RCoV19,we have made significant improvements and advancements over the previous version.Firstly,we have implemented a highly refined genome data curation model.This model now features an automated integration pipeline and optimized curation rules,enabling efficient daily updates of data in RCoV19.Secondly,we have developed a global and regional lineage evolution monitoring platform,alongside an outbreak risk pre-warning system.These additions provide a comprehensive understanding of SARS-CoV-2 evolution and transmission patterns,enabling better preparedness and response strategies.Thirdly,we have developed a powerful interactive mutation spectrum comparison module.This module allows users to compare and analyze mutation patterns,assisting in the detection of potential new lineages.Furthermore,we have incorporated a comprehensive knowledgebase on mutation effects.This knowledgebase serves as a valuable resource for retrieving information on the functional implications of specific mutations.In summary,RCoV19 serves as a vital scientific resource,providing access to valuable data,relevant information,and technical support in the global fight against COVID-19.The complete contents of RCoV19 are available to the public at https://ngdc.cncb.ac.cn/ncov/.
基金supported by grants from the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB38050300)the Genomics Data Center Operation and Maintenance of Chinese Academy of Sciences(Grant No.CAS-WX2022SDC-XK05)the Key Technology Talent Program of the Chinese Academy of Sciences,China.
文摘With the development of artificial intelligence(AI)technologies,biomedical imaging data play an important role in scientific research and clinical application,but the available resources are limited.Here we present Open Biomedical Imaging Archive(OBIA),a repository for archiving biomedical imaging and related clinical data.OBIA adopts five data objects(Collection,Individual,Study,Series,and Image)for data organization,and accepts the submission of biomedical images of multiple modalities,organs,and diseases.In order to protect personal privacy,OBIA has formulated a unified de-identification and quality control process.In addition,OBIA provides friendly and intuitive web interfaces for data submission,browsing,and retrieval,as well as image retrieval.As of September 2023,OBIA has housed data for a total of 937 individuals,4136 studies,24,701 series,and 1,938,309 images covering 9 modalities and 30 anatomical sites.Collectively,OBIA provides a reliable platform for biomedical imaging data management and offers free open access to all publicly available data to support research activities throughout the world.OBIA can be accessed at https://ngdc.cncb.ac.cn/obia.
