The Thai reference exome (T‐REx) variant database

2021 ◽  
Author(s):  
Vorasuk Shotelersuk ◽  
Duangdao Wichadakul ◽  
Chumpol Ngamphiw ◽  
Chalurmpon Srichomthong ◽  
Chureerat Phokaew ◽  
...  
Keyword(s):  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Anthony P. West ◽  
Joel O. Wertheim ◽  
Jade C. Wang ◽  
Tetyana I. Vasylyeva ◽  
Jennifer L. Havens ◽  
...  

AbstractWide-scale SARS-CoV-2 genome sequencing is critical to tracking viral evolution during the ongoing pandemic. We develop the software tool, Variant Database (VDB), for quickly examining the changing landscape of spike mutations. Using VDB, we detect an emerging lineage of SARS-CoV-2 in the New York region that shares mutations with previously reported variants. The most common sets of spike mutations in this lineage (now designated as B.1.526) are L5F, T95I, D253G, E484K or S477N, D614G, and A701V. This lineage was first sequenced in late November 2020. Phylodynamic inference confirmed the rapid growth of the B.1.526 lineage. In concert with other variants, like B.1.1.7, the rise of B.1.526 appears to have extended the duration of the second wave of COVID-19 cases in NYC in early 2021. Pseudovirus neutralization experiments demonstrated that B.1.526 spike mutations adversely affect the neutralization titer of convalescent and vaccinee plasma, supporting the public health relevance of this lineage.


2018 ◽  
Vol 48 (5) ◽  
pp. 659-672 ◽  
Author(s):  
Emmanuel Didier

A database organizes information, but since information is produced by actors, it also coordinates the different actors involved with data. Here, focusing on the newly created ClinVar, a genomic clinical variant database, we will see how it helps the government, academia, and industry (represented mainly by the company Illumina) find their positions relative to one another. This essay is part of a special issue entitled Histories of Data and the Database edited by Soraya de Chadarevian and Theodore M. Porter.


2014 ◽  
Vol 37 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Kwondo Kim ◽  
Woori Kwak ◽  
Sam-Sun Sung ◽  
Seoae Cho ◽  
Heebal Kim ◽  
...  

Author(s):  
Rahma Mani ◽  
Mafalda Gomes ◽  
Adrián Rodríguez González ◽  
Claire Hogg ◽  
Deborah Morris-Rosendahl ◽  
...  

2002 ◽  
Vol 21 (1) ◽  
pp. 2-7 ◽  
Author(s):  
David C.Y. Fung ◽  
Elizabeth A. Holland ◽  
Therese M. Becker ◽  
Nicholas K. Hayward ◽  
Brigitte Bressac-de Paillerets ◽  
...  

2016 ◽  
Vol 54 (4) ◽  
pp. 217-223 ◽  
Author(s):  
Sarah Leigh ◽  
Marta Futema ◽  
Ros Whittall ◽  
Alison Taylor-Beadling ◽  
Maggie Williams ◽  
...  

2020 ◽  
Author(s):  
Samuel W. Baker ◽  
Arupa Ganguly

ABSTRACTThe Bibliome Variant Database (BVdb) is a freely available reference database containing over 1 million human genetic variants mapped to the human genome that have been mined from primary literature. The BVdb is designed to facilitate variant interpretation in clinical and research contexts by reducing or eliminating the time required to search for literature describing a given variant. Users can search the database using gene symbols, HGVS variant nomenclature, genomic positions, or rsIDs. Each variant page lists references in the database that describe the variant, as well as the exact gene symbol and variant text description identified in each reference.AVAILABILITY AND IMPLEMENTATIONThe BVdb is freely available at http://bibliome.ai


Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Kwang Su Jung ◽  
Kyung-Won Hong ◽  
Hyun Youn Jo ◽  
Jongpill Choi ◽  
Hyo-Jeong Ban ◽  
...  

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