Expert proposes genome sequencing of virus to identify variants

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Bibliographic Details
Main Author: Anon
Format: Other
Language:English
Published: New Straits Times 2022
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76498
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spelling my.unimap-764982022-10-21T07:22:12Z Expert proposes genome sequencing of virus to identify variants Anon Malaysia Genome SARS-CoV2 Infectious variants Covid 19 2022-09-29 2022-10-21T07:22:12Z 2022-10-21T07:22:12Z 2021-01-18 Other 3 p., 2 col. http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76498 en New Straits Times
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Malaysia
Genome
SARS-CoV2
Infectious variants
Covid 19
spellingShingle Malaysia
Genome
SARS-CoV2
Infectious variants
Covid 19
Anon
Expert proposes genome sequencing of virus to identify variants
format Other
author Anon
author_facet Anon
author_sort Anon
title Expert proposes genome sequencing of virus to identify variants
title_short Expert proposes genome sequencing of virus to identify variants
title_full Expert proposes genome sequencing of virus to identify variants
title_fullStr Expert proposes genome sequencing of virus to identify variants
title_full_unstemmed Expert proposes genome sequencing of virus to identify variants
title_sort expert proposes genome sequencing of virus to identify variants
publisher New Straits Times
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76498
_version_ 1751537928834646016
score 13.222552