The most common technologies and tools for functional genome analysis
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 i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2017-04-01
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| Series: | Acta Medica Lituanica |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/AML/article/view/21336 |
| _version_ | 1818754998608068608 |
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| author | Evelina Gasperskaja Vaidutis Kučinskas |
| author_facet | Evelina Gasperskaja Vaidutis Kučinskas |
| author_sort | Evelina Gasperskaja |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T05:32:09Z |
| format | Article |
| id | doaj.art-8085fa8b93db4c3ab3c90a00df103bc7 |
| institution | Directory Open Access Journal |
| issn | 1392-0138 2029-4174 |
| language | English |
| last_indexed | 2024-12-18T05:32:09Z |
| publishDate | 2017-04-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Acta Medica Lituanica |
| spelling | doaj.art-8085fa8b93db4c3ab3c90a00df103bc72022-12-21T21:19:25ZengVilnius University PressActa Medica Lituanica1392-01382029-41742017-04-0124110.6001/actamedica.v24i1.3457The most common technologies and tools for functional genome analysisEvelina GasperskajaVaidutis KučinskasSince 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.https://www.journals.vu.lt/AML/article/view/21336functional analysistechnologiesvariantsgenomicstranscriptomicsgene expression |
| spellingShingle | Evelina Gasperskaja Vaidutis Kučinskas The most common technologies and tools for functional genome analysis Acta Medica Lituanica functional analysis technologies variants genomics transcriptomics gene expression |
| title | The most common technologies and tools for functional genome analysis |
| title_full | The most common technologies and tools for functional genome analysis |
| title_fullStr | The most common technologies and tools for functional genome analysis |
| title_full_unstemmed | The most common technologies and tools for functional genome analysis |
| title_short | The most common technologies and tools for functional genome analysis |
| title_sort | most common technologies and tools for functional genome analysis |
| topic | functional analysis technologies variants genomics transcriptomics gene expression |
| url | https://www.journals.vu.lt/AML/article/view/21336 |
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