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Small open reading frames in plant research: From prediction to functional characterization

Gene prediction is a laborious and time-consuming task. The advancement of sequencing technologies and bioinformatics tools, coupled with accelerated rate of ribosome profiling and mass spectrometry development, have made identification of small open reading frames (sORFs) (< 100 codons) in vario...

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Main Authors: Ong, Sheue Ni, Tan, Boon Chin, Al-Idrus, Aisyafaznim, Teo, Chee How
Format: Article
Published: Springer Heidelberg 2022
Subjects:
QR Microbiology
Online Access:http://eprints.um.edu.my/33322/
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spelling my.um.eprints.333222022-08-08T07:10:16Z http://eprints.um.edu.my/33322/ Small open reading frames in plant research: From prediction to functional characterization Ong, Sheue Ni Tan, Boon Chin Al-Idrus, Aisyafaznim Teo, Chee How QR Microbiology Gene prediction is a laborious and time-consuming task. The advancement of sequencing technologies and bioinformatics tools, coupled with accelerated rate of ribosome profiling and mass spectrometry development, have made identification of small open reading frames (sORFs) (< 100 codons) in various plant genomes possible. The past 50 years have seen sORFs being isolated from many organisms. However, to date, a comprehensive sORF annotation pipeline is as yet unavailable, hence, addressed in our review. Here, we also provide current information on classification and functions of plant sORFs and their potential applications in crop improvement programs. Springer Heidelberg 2022-03 Article PeerReviewed Ong, Sheue Ni and Tan, Boon Chin and Al-Idrus, Aisyafaznim and Teo, Chee How (2022) Small open reading frames in plant research: From prediction to functional characterization. 3 Biotech, 12 (3). ISSN 2190-572X, DOI https://doi.org/10.1007/s13205-022-03147-w <https://doi.org/10.1007/s13205-022-03147-w>. 10.1007/s13205-022-03147-w
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QR Microbiology
spellingShingle QR Microbiology
Ong, Sheue Ni
Tan, Boon Chin
Al-Idrus, Aisyafaznim
Teo, Chee How
Small open reading frames in plant research: From prediction to functional characterization
description Gene prediction is a laborious and time-consuming task. The advancement of sequencing technologies and bioinformatics tools, coupled with accelerated rate of ribosome profiling and mass spectrometry development, have made identification of small open reading frames (sORFs) (< 100 codons) in various plant genomes possible. The past 50 years have seen sORFs being isolated from many organisms. However, to date, a comprehensive sORF annotation pipeline is as yet unavailable, hence, addressed in our review. Here, we also provide current information on classification and functions of plant sORFs and their potential applications in crop improvement programs.
format Article
author Ong, Sheue Ni
Tan, Boon Chin
Al-Idrus, Aisyafaznim
Teo, Chee How
author_facet Ong, Sheue Ni
Tan, Boon Chin
Al-Idrus, Aisyafaznim
Teo, Chee How
author_sort Ong, Sheue Ni
title Small open reading frames in plant research: From prediction to functional characterization
title_short Small open reading frames in plant research: From prediction to functional characterization
title_full Small open reading frames in plant research: From prediction to functional characterization
title_fullStr Small open reading frames in plant research: From prediction to functional characterization
title_full_unstemmed Small open reading frames in plant research: From prediction to functional characterization
title_sort small open reading frames in plant research: from prediction to functional characterization
publisher Springer Heidelberg
publishDate 2022
url http://eprints.um.edu.my/33322/
_version_ 1740826021814337536
score 13.211869

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