The NIH Comparative Genomics Resource: addressing the promises and challenges of comparative genomics on human health

Comparative genomics is the comparison of genetic information within and across organisms to understand the evolution, structure, and function of genes, proteins, and non-coding regions (Sivashankari and Shanmughavel, Bioinformation 1:376-8, 2007). Advances in sequencing technology and assembly algo...

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Published inBMC genomics Vol. 24; no. 1; pp. 1 - 14
Main Authors Bornstein, Kristin, Gryan, Gary, Chang, E. Sally, Marchler-Bauer, Aron, Schneider, Valerie A.
Format Journal Article
LanguageEnglish
Published London BioMed Central 27.09.2023
BioMed Central Ltd
Springer Nature B.V
BMC
Subjects
Algorithms
Analysis
Animal Genetics and Genomics
Animals
Annotation
Annotations
Antibiotics
Antimicrobial agents
Bioinformatics
Biological evolution
Biomedical and Life Sciences
Comparative analysis
Computational biology
Control
COVID-19 vaccines
Development and progression
Disease transmission
Drug development
Environmental aspects
Eukaryotes
Evolution
Evolutionary genetics
Genes
Genetic aspects
Genetics
Genomic analysis
Genomics
Human health
Identification and classification
Immune system
Infections
Infectious diseases
Influenza
Life Sciences
Medical research
Medicine, Experimental
Metabolism
Microarrays
Microbial Genetics and Genomics
Microbiome
Microbiomes
Organisms
Pathogens
Patient outcomes
Peptides
Plant Genetics and Genomics
Prevention
Proteins
Proteomics
Public health
Quality assurance
Review
Risk factors
Severe acute respiratory syndrome coronavirus 2
Structure-function relationships
Therapeutic targets
Toxicology
Viruses
Xenotransplantation
Zoonoses
Zoonotic disease
United States
Human health
Toxicology
Xenotransplantation
Oncology
Zoonotic disease
NIH Comparative Genomics Resource (CGR)
Bioinformatics
Sequence contamination
Annotation
Microbiome
Online AccessGet full text
ISSN1471-2164
1471-2164
DOI10.1186/s12864-023-09643-4

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Abstract Comparative genomics is the comparison of genetic information within and across organisms to understand the evolution, structure, and function of genes, proteins, and non-coding regions (Sivashankari and Shanmughavel, Bioinformation 1:376-8, 2007). Advances in sequencing technology and assembly algorithms have resulted in the ability to sequence large genomes and provided a wealth of data that are being used in comparative genomic analyses. Comparative analysis can be leveraged to systematically explore and evaluate the biological relationships and evolution between species, aid in understanding the structure and function of genes, and gain a better understanding of disease and potential drug targets. As our knowledge of genetics expands, comparative genomics can help identify emerging model organisms among a broader span of the tree of life, positively impacting human health. This impact includes, but is not limited to, zoonotic disease research, therapeutics development, microbiome research, xenotransplantation, oncology, and toxicology. Despite advancements in comparative genomics, new challenges have arisen around the quantity, quality assurance, annotation, and interoperability of genomic data and metadata. New tools and approaches are required to meet these challenges and fulfill the needs of researchers. This paper focuses on how the National Institutes of Health (NIH) Comparative Genomics Resource (CGR) can address both the opportunities for comparative genomics to further impact human health and confront an increasingly complex set of challenges facing researchers.
AbstractList Comparative genomics is the comparison of genetic information within and across organisms to understand the evolution, structure, and function of genes, proteins, and non-coding regions (Sivashankari and Shanmughavel, Bioinformation 1:376-8, 2007). Advances in sequencing technology and assembly algorithms have resulted in the ability to sequence large genomes and provided a wealth of data that are being used in comparative genomic analyses. Comparative analysis can be leveraged to systematically explore and evaluate the biological relationships and evolution between species, aid in understanding the structure and function of genes, and gain a better understanding of disease and potential drug targets. As our knowledge of genetics expands, comparative genomics can help identify emerging model organisms among a broader span of the tree of life, positively impacting human health. This impact includes, but is not limited to, zoonotic disease research, therapeutics development, microbiome research, xenotransplantation, oncology, and toxicology. Despite advancements in comparative genomics, new challenges have arisen around the quantity, quality assurance, annotation, and interoperability of genomic data and metadata. New tools and approaches are required to meet these challenges and fulfill the needs of researchers. This paper focuses on how the National Institutes of Health (NIH) Comparative Genomics Resource (CGR) can address both the opportunities for comparative genomics to further impact human health and confront an increasingly complex set of challenges facing researchers.
Comparative genomics is the comparison of genetic information within and across organisms to understand the evolution, structure, and function of genes, proteins, and non-coding regions (Sivashankari and Shanmughavel, Bioinformation 1:376-8, 2007). Advances in sequencing technology and assembly algorithms have resulted in the ability to sequence large genomes and provided a wealth of data that are being used in comparative genomic analyses. Comparative analysis can be leveraged to systematically explore and evaluate the biological relationships and evolution between species, aid in understanding the structure and function of genes, and gain a better understanding of disease and potential drug targets. As our knowledge of genetics expands, comparative genomics can help identify emerging model organisms among a broader span of the tree of life, positively impacting human health. This impact includes, but is not limited to, zoonotic disease research, therapeutics development, microbiome research, xenotransplantation, oncology, and toxicology. Despite advancements in comparative genomics, new challenges have arisen around the quantity, quality assurance, annotation, and interoperability of genomic data and metadata. New tools and approaches are required to meet these challenges and fulfill the needs of researchers. This paper focuses on how the National Institutes of Health (NIH) Comparative Genomics Resource (CGR) can address both the opportunities for comparative genomics to further impact human health and confront an increasingly complex set of challenges facing researchers. Keywords: Bioinformatics, Annotation, Human health, Zoonotic disease, Microbiome, Xenotransplantation, Oncology, Toxicology, NIH Comparative Genomics Resource (CGR), Sequence contamination
Comparative genomics is the comparison of genetic information within and across organisms to understand the evolution, structure, and function of genes, proteins, and non-coding regions (Sivashankari and Shanmughavel, Bioinformation 1:376-8, 2007). Advances in sequencing technology and assembly algorithms have resulted in the ability to sequence large genomes and provided a wealth of data that are being used in comparative genomic analyses. Comparative analysis can be leveraged to systematically explore and evaluate the biological relationships and evolution between species, aid in understanding the structure and function of genes, and gain a better understanding of disease and potential drug targets. As our knowledge of genetics expands, comparative genomics can help identify emerging model organisms among a broader span of the tree of life, positively impacting human health. This impact includes, but is not limited to, zoonotic disease research, therapeutics development, microbiome research, xenotransplantation, oncology, and toxicology. Despite advancements in comparative genomics, new challenges have arisen around the quantity, quality assurance, annotation, and interoperability of genomic data and metadata. New tools and approaches are required to meet these challenges and fulfill the needs of researchers. This paper focuses on how the National Institutes of Health (NIH) Comparative Genomics Resource (CGR) can address both the opportunities for comparative genomics to further impact human health and confront an increasingly complex set of challenges facing researchers.Comparative genomics is the comparison of genetic information within and across organisms to understand the evolution, structure, and function of genes, proteins, and non-coding regions (Sivashankari and Shanmughavel, Bioinformation 1:376-8, 2007). Advances in sequencing technology and assembly algorithms have resulted in the ability to sequence large genomes and provided a wealth of data that are being used in comparative genomic analyses. Comparative analysis can be leveraged to systematically explore and evaluate the biological relationships and evolution between species, aid in understanding the structure and function of genes, and gain a better understanding of disease and potential drug targets. As our knowledge of genetics expands, comparative genomics can help identify emerging model organisms among a broader span of the tree of life, positively impacting human health. This impact includes, but is not limited to, zoonotic disease research, therapeutics development, microbiome research, xenotransplantation, oncology, and toxicology. Despite advancements in comparative genomics, new challenges have arisen around the quantity, quality assurance, annotation, and interoperability of genomic data and metadata. New tools and approaches are required to meet these challenges and fulfill the needs of researchers. This paper focuses on how the National Institutes of Health (NIH) Comparative Genomics Resource (CGR) can address both the opportunities for comparative genomics to further impact human health and confront an increasingly complex set of challenges facing researchers.
Abstract Comparative genomics is the comparison of genetic information within and across organisms to understand the evolution, structure, and function of genes, proteins, and non-coding regions (Sivashankari and Shanmughavel, Bioinformation 1:376-8, 2007). Advances in sequencing technology and assembly algorithms have resulted in the ability to sequence large genomes and provided a wealth of data that are being used in comparative genomic analyses. Comparative analysis can be leveraged to systematically explore and evaluate the biological relationships and evolution between species, aid in understanding the structure and function of genes, and gain a better understanding of disease and potential drug targets. As our knowledge of genetics expands, comparative genomics can help identify emerging model organisms among a broader span of the tree of life, positively impacting human health. This impact includes, but is not limited to, zoonotic disease research, therapeutics development, microbiome research, xenotransplantation, oncology, and toxicology. Despite advancements in comparative genomics, new challenges have arisen around the quantity, quality assurance, annotation, and interoperability of genomic data and metadata. New tools and approaches are required to meet these challenges and fulfill the needs of researchers. This paper focuses on how the National Institutes of Health (NIH) Comparative Genomics Resource (CGR) can address both the opportunities for comparative genomics to further impact human health and confront an increasingly complex set of challenges facing researchers.
ArticleNumber 575
Audience Academic
Author Bornstein, Kristin
Chang, E. Sally
Schneider, Valerie A.
Gryan, Gary
Marchler-Bauer, Aron
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Issue 1
Keywords Human health
Toxicology
Xenotransplantation
Oncology
Zoonotic disease
NIH Comparative Genomics Resource (CGR)
Bioinformatics
Sequence contamination
Annotation
Microbiome
Language English
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PublicationDate 2023-09-27
PublicationDateYYYYMMDD 2023-09-27
PublicationDate_xml – month: 09
  year: 2023
  text: 2023-09-27
  day: 27
PublicationDecade 2020
PublicationPlace London
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PublicationTitle BMC genomics
PublicationTitleAbbrev BMC Genomics
PublicationYear 2023
Publisher BioMed Central
BioMed Central Ltd
Springer Nature B.V
BMC
Publisher_xml – name: BioMed Central
– name: BioMed Central Ltd
– name: Springer Nature B.V
– name: BMC
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  ident: 9643_CR61
  publication-title: Annu Rev Anim Biosci
  doi: 10.1146/annurev-animal-030117-014523
– ident: 9643_CR76
– volume: 91
  start-page: 11153
  issue: 23
  year: 1994
  ident: 9643_CR55
  publication-title: Proc Natl Acad Sci U S A
  doi: 10.1073/pnas.91.23.11153
– ident: 9643_CR4
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Snippet Comparative genomics is the comparison of genetic information within and across organisms to understand the evolution, structure, and function of genes,...
Abstract Comparative genomics is the comparison of genetic information within and across organisms to understand the evolution, structure, and function of...
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SubjectTerms Algorithms
Analysis
Animal Genetics and Genomics
Animals
Annotation
Annotations
Antibiotics
Antimicrobial agents
Bioinformatics
Biological evolution
Biomedical and Life Sciences
Comparative analysis
Computational biology
Control
COVID-19 vaccines
Development and progression
Disease transmission
Drug development
Environmental aspects
Eukaryotes
Evolution
Evolutionary genetics
Genes
Genetic aspects
Genetics
Genomic analysis
Genomics
Human health
Identification and classification
Immune system
Infections
Infectious diseases
Influenza
Life Sciences
Medical research
Medicine, Experimental
Metabolism
Microarrays
Microbial Genetics and Genomics
Microbiome
Microbiomes
Organisms
Pathogens
Patient outcomes
Peptides
Plant Genetics and Genomics
Prevention
Proteins
Proteomics
Public health
Quality assurance
Review
Risk factors
Severe acute respiratory syndrome coronavirus 2
Structure-function relationships
Therapeutic targets
Toxicology
Viruses
Xenotransplantation
Zoonoses
Zoonotic disease
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Title The NIH Comparative Genomics Resource: addressing the promises and challenges of comparative genomics on human health
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