ArticleActa medica Lituanic2017
The most common technologies and tools for functional genome analysis.
Article in Acta medica Lituanic, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 74 citations in OpenAlex.
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- Gene co-expression network and differential expression analyses reveal key genes for weaning weight in Simmental-Holstein crossbred cattle.Animal biotechnology · 2024Article
- Investigating the Activities ofBiology · 2024Article
- Functional Genomics in Psoriasis.International journal of molecular sciences · 2024Review
- Decoding the gene-disease associations in type 2 diabetes: A curated dataset for text mining-based classification.Data in brief · 2024Article
- Review
- Unraveling the diversity and functions of sugar transporters for sustainable management of wheat rust.Functional & integrative genomics · 2023Review
- Breeding and Genomic Approaches towards Development of Fusarium Wilt Resistance in Chickpea.Life (Basel, Switzerland) · 2023Review
- Decoding the mechanism of hypertension through multiomics profiling.Journal of human hypertension · 2023Review
- Two-dimensional nanostructures based '-onics' and '-omics' in personalized medicine.Nanophotonics (Berlin, Germany) · 2022Review
- Integrating nutriepigenomics in Parkinson's disease management: New promising strategy in the omics era.IBRO neuroscience reports · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the sequence of the human genome is complete, the main issue is how to understand the information written in the DNA sequence. Despite numerous genome-wide studies that have already been performed, the challenge to determine the function of genes, gene products, and also their interaction is still open. As changes in the human genome are highly likely to cause pathological conditions, functional analysis is vitally important for human health. For many years there have been a variety of technologies and tools used in functional genome analysis. However, only in the past decade there has been rapid revolutionizing progress and improvement in high-throughput methods, which are ranging from traditional real-time polymerase chain reaction to more complex systems, such as next-generation sequencing or mass spectrometry. Furthermore, not only laboratory investigation, but also accurate bioinformatic analysis is required for reliable scientific results. These methods give an opportunity for accurate and comprehensive functional analysis that involves various fields of studies: genomics, epigenomics, proteomics, and interactomics. This is essential for filling the gaps in the knowledge about dynamic biological processes at both cellular and organismal level. However, each method has both advantages and limitations that should be taken into account before choosing the right method for particular research in order to ensure successful study. For this reason, the present review paper aims to describe the most frequent and widely-used methods for the comprehensive functional analysis.
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Registered trials
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