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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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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Majorbio Cloud: A one-stop, comprehensive bioinformatic platform for multiomics analyses.

Yi Ren1, Guo Yu1, Caiping Shi1

  • 1Shanghai Majorbio Bio-pharm Technology Co., Ltd. Shanghai China.

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Summary

This platform offers integrated bioinformatics pipelines for multi-omics data analysis, alongside cloud tools and online courses. It empowers researchers to independently analyze complex biological data and share knowledge effectively.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Researchers require integrated solutions for complex multi-omics data analysis.
  • Existing bioinformatics tools are often fragmented, hindering independent data mining.
  • Effective knowledge sharing and training are crucial for advancing omics research.

Purpose of the Study:

  • To introduce a comprehensive platform integrating bioinformatics pipelines, cloud toolsets, and educational resources.
  • To enable researchers to perform independent multi-omics data analysis and interpretation.
  • To foster a collaborative environment for knowledge exchange in the omics field.

Main Methods:

  • Development of pre-configured bioinformatics pipelines for metagenomics, genomics, transcriptome, proteomics, and metabolomics.
  • Integration of versatile cloud toolsets for biological data processing, statistics, and visualization.
  • Creation of online courses for multi-omics data analysis and interpretation.

Main Results:

  • The platform provides interactive analysis reports for independent data mining.
  • Cloud toolsets offer flexible solutions for daily biological data tasks.
  • Online courses facilitate knowledge sharing and interactive communication among researchers.

Conclusions:

  • The integrated platform enhances researchers' capabilities in multi-omics data analysis.
  • It democratizes access to powerful bioinformatics tools and educational resources.
  • The platform supports independent research and collaborative knowledge advancement in omics.