From sequencing data to gene functions: co-functional network approaches

Jung Eun Shim, Tak Lee, Insuk Lee

Research output: Contribution to journalReview article

8 Citations (Scopus)

Abstract

Advanced high-throughput sequencing technology accumulated massive amount of genomics and transcriptomics data in the public databases. Due to the high technical accessibility, DNA and RNA sequencing have huge potential for the study of gene functions in most species including animals and crops. A proven analytic platform to convert sequencing data to gene functional information is co-functional network. Because all genes exert their functions through interactions with others, network analysis is a legitimate way to study gene functions. The workflow of network-based functional study is composed of three steps: (i) inferencing co-functional links, (ii) evaluating and integrating the links into genome-scale networks, and (iii) generating functional hypotheses from the networks. Co-functional links can be inferred from DNA sequencing data by using phylogenetic profiling, gene neighborhood, domain profiling, associalogs, and co-expression analysis from RNA sequencing data. The inferred links are then evaluated and integrated into a genome-scale network with aid from gold-standard co-functional links. Functional hypotheses can be generated from the network based on (i) network connectivity, (ii) network propagation, and (iii) subnetwork analysis. The functional analysis pipeline described here requires only sequencing data which can be readily available for most species by next-generation sequencing technology. Therefore, co-functional networks will greatly potentiate the use of the sequencing data for the study of genetics in any cellular organism.

Original languageEnglish
Pages (from-to)77-83
Number of pages7
JournalAnimal Cells and Systems
Volume21
Issue number2
DOIs
Publication statusPublished - 2017 Mar 4

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Genes
sequence analysis
RNA Sequence Analysis
DNA Sequence Analysis
genes
Genome
Technology
genome
Workflow
Genomics
RNA
transcriptomics
Gold
gold
Functional analysis
DNA
Electric network analysis
Databases
genomics
Crops

All Science Journal Classification (ASJC) codes

  • Animal Science and Zoology
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

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From sequencing data to gene functions : co-functional network approaches. / Shim, Jung Eun; Lee, Tak; Lee, Insuk.

In: Animal Cells and Systems, Vol. 21, No. 2, 04.03.2017, p. 77-83.

Research output: Contribution to journalReview article

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