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11082023 - BA Contextuality in Pakistan (BA.x spinoffs)

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@waqasuddinkhan waqasuddinkhan released this 08 Nov 05:13
· 4 commits to main since this release

v2.7.11.08.2023

OS Log:
LSB Version: core-11.1.0ubuntu2-noarch:security-11.1.0ubuntu2-noarch
Distributor ID: Ubuntu
Description: Ubuntu 20.04.5 LTS
Release: 20.04
Codename: focal

Software Log:
nextstrain.cli 7.1.0
augur 22.3.0
IQ-TREE multicore version 1.6.12 for Linux 64-bit built Mar 23 2020
AUSPICE 2.47.0

Genomic Epidemiology of Novel Coronavirus - Pakistan-focused Subsampling (Non-contextual/non-targeted):
Total no. of Pakistan SARS-CoV-2 Genome Sequences downloaded from GISAID (7th November 2023): 4,996
Total No. of Sequences Dropped by Nextstrain's Augur Filtering (<27000 nts): 3
359 strains were dropped during filtering
357 of these were dropped because they were in results/Pakistan/excluded_by_diagnostics.txt
2 of these were filtered out by the query: "(root_ref == 'yes' & _length >= 27000) | (pakistan == 'yes' & _length >= 27000)"
1 strains were added back because they were in defaults/include.txt
4,637 strains passed all filters

In this release, only one hCoV-19/Wuhan/WIV04/2019 (WIV04) is used as reference/root (the official reference sequence employed by GISAID; EPI_ISL_402124). WIV04 was chosen because of its high-quality genome sequence and because it represented the consensus of a handful of early submissions for the betacoronavirus responsible for COVID-19 (Pilailuk et al 2020).

Full Change log: (https://github.com/AKU-CITRIC-Center-for-Bioinformatics/ncov/commits/v2.7)

Genomic Epidemiology of Novel Coronavirus - Pakistan and Related Contextual (Targeted) Samples:
Total no. of Global SARS-CoV-2 Genome Sequences downloaded from GISAID (7th November 2023): 3,663
Total no. of Pakistan SARS-CoV-2 Genome Sequences downloaded from GISAID (7th November 2023): 4,996
Total No. of Sequences that passed all filters: 2,746

In this release, only one hCoV-19/Wuhan/WIV04/2019 (WIV04) is used as reference/root (the official reference sequence employed by GISAID; EPI_ISL_402124). WIV04 was chosen because of its high-quality genome sequence and because it represented the consensus of a handful of early submissions for the betacoronavirus responsible for COVID-19 (Pilailuk et al 2020).

Full Change log: (https://github.com/AKU-CITRIC-Center-for-Bioinformatics/ncov/commits/v2.7)