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Genomics02:02

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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The immune system's response to viral infections is a complex and coordinated process involving natural killer (NK) cells, T cell-mediated responses, and antibody-mediated responses.
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MOI is a comprehensive database collecting processed multi-omics data associated with viral infection.

Xuefei Guo1, Yang Zhao2, Fuping You2

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A new database, MOI, centralizes multi-omics data from over 3200 viral infection samples. This resource aids researchers in understanding virus-host interactions and developing new therapies.

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Area of Science:

  • Virology
  • Bioinformatics
  • Genomics

Background:

  • Viral infections, like COVID-19, present global health challenges.
  • Understanding virus-host interactions is crucial for developing interventions.
  • A lack of centralized multi-omics data hinders research on host responses to viruses.

Purpose of the Study:

  • To develop a comprehensive database, MOI, for processed multi-omics data related to viral infections.
  • To provide a centralized resource for investigating virus-host interactions.
  • To facilitate research into viral pathogenesis and therapeutic development.

Main Methods:

  • Aggregated processed multi-omics data from PubMed and Gene Expression Omnibus (GEO).
  • Included over 3200 viral-infected samples (human and murine).
  • Utilized standardized pipelines for bulk RNA-seq, scRNA-seq, ChIP-seq, and ATAC-seq data.

Main Results:

  • Developed the MOI database (http://www.fynn-guo.cn/) with user-friendly interfaces.
  • Integrated comprehensive cell marker tables, gene expression data, and epigenetic landscape charts.
  • Provided analytical tools for data interpretation and 16 visualization plots.

Conclusions:

  • MOI serves as a valuable repository for virus-host interaction research.
  • Centralizing multi-omics data accelerates understanding of viral pathogenesis.
  • Facilitates the development of novel therapeutic interventions for viral diseases.