Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing
Next-Generation Sequencing (NGS) has made it easier to obtain genome-wide sequence data and it has shifted the research focus into genome annotation. The challenging tasks involved in annotation rely on the currently available tools and techniques to decode the information contained in nucleotide se...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Biology |
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| Online Access: | https://www.mdpi.com/2079-7737/9/9/295 |
| _version_ | 1827705964894093312 |
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| author | Girum Fitihamlak Ejigu Jaehee Jung |
| author_facet | Girum Fitihamlak Ejigu Jaehee Jung |
| author_sort | Girum Fitihamlak Ejigu |
| collection | DOAJ |
| description | Next-Generation Sequencing (NGS) has made it easier to obtain genome-wide sequence data and it has shifted the research focus into genome annotation. The challenging tasks involved in annotation rely on the currently available tools and techniques to decode the information contained in nucleotide sequences. This information will improve our understanding of general aspects of life and evolution and improve our ability to diagnose genetic disorders. Here, we present a summary of both structural and functional annotations, as well as the associated comparative annotation tools and pipelines. We highlight visualization tools that immensely aid the annotation process and the contributions of the scientific community to the annotation. Further, we discuss quality-control practices and the need for re-annotation, and highlight the future of annotation. |
| first_indexed | 2024-03-10T16:13:55Z |
| format | Article |
| id | doaj.art-c1f93b36938d4ae48ad7b14cd0af7ca2 |
| institution | Directory Open Access Journal |
| issn | 2079-7737 |
| language | English |
| last_indexed | 2024-03-10T16:13:55Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology |
| spelling | doaj.art-c1f93b36938d4ae48ad7b14cd0af7ca22023-11-20T14:16:45ZengMDPI AGBiology2079-77372020-09-019929510.3390/biology9090295Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation SequencingGirum Fitihamlak Ejigu0Jaehee Jung1Department of Information and Communication Engineering, Myongji University, Yongin-si 17058, Gyeonggi-do, KoreaDepartment of Information and Communication Engineering, Myongji University, Yongin-si 17058, Gyeonggi-do, KoreaNext-Generation Sequencing (NGS) has made it easier to obtain genome-wide sequence data and it has shifted the research focus into genome annotation. The challenging tasks involved in annotation rely on the currently available tools and techniques to decode the information contained in nucleotide sequences. This information will improve our understanding of general aspects of life and evolution and improve our ability to diagnose genetic disorders. Here, we present a summary of both structural and functional annotations, as well as the associated comparative annotation tools and pipelines. We highlight visualization tools that immensely aid the annotation process and the contributions of the scientific community to the annotation. Further, we discuss quality-control practices and the need for re-annotation, and highlight the future of annotation.https://www.mdpi.com/2079-7737/9/9/295structural annotationfunctional annotationab initio annotationhomology-based annotation |
| spellingShingle | Girum Fitihamlak Ejigu Jaehee Jung Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing Biology structural annotation functional annotation ab initio annotation homology-based annotation |
| title | Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing |
| title_full | Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing |
| title_fullStr | Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing |
| title_full_unstemmed | Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing |
| title_short | Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing |
| title_sort | review on the computational genome annotation of sequences obtained by next generation sequencing |
| topic | structural annotation functional annotation ab initio annotation homology-based annotation |
| url | https://www.mdpi.com/2079-7737/9/9/295 |
| work_keys_str_mv | AT girumfitihamlakejigu reviewonthecomputationalgenomeannotationofsequencesobtainedbynextgenerationsequencing AT jaeheejung reviewonthecomputationalgenomeannotationofsequencesobtainedbynextgenerationsequencing |