BOL: Related items

320000 viruses in mammals yet to sequenced in future!!!

Rahul Agarwal — Tue, 03 Sep 2013 08:35:30 -0500

With current biological technique improvements, finally it is now possible to look at millions of unknown viruses at genomic level and understand the mechanism. According to available data, close to 70 per cent of emerging viral diseases such as HIV/AIDS, West Nile, Ebola, SARS, and influenza, are zoonoses - infections of animals that cross into humans.

To address the challenges of describing and estimating virodiversity, a team of investigators from Center for Infection and Immunity (CII) and EcoHealth Alliance began in jungles of Bangladesh - home to the flying fox.

Reference:

http://economictimes.indiatimes.com/news/news-by-industry/et-cetera/mammals-harbour-at-least-320000-new-viruses/articleshow/22253268.cms

http://www.bbc.co.uk/news/science-environment-23932400

Submit your SARS-CoV-2 sequence data to GenBank

Neel — Thu, 09 Apr 2020 18:28:25 -0500

Submit your SARS-CoV-2 sequence data to GenBank and SRA with our new submission landing page. Submission is simple and streamlined *and* there’s a rapid turnaround. https://submit.ncbi.nlm.nih.gov/sarscov2/

Quickly and easily add your SARS-CoV-2 sequence data to the growing public archive with new, special features and support from NCBI. new SARS-CoV-2 sequence submission landing page will help you get started. GenBank submissions are accessioned and released in approximately 1-2 working days, and Sequence Read Archive (SRA) submissions typically processed and released within hours. Submission is simple!

More information is available on NCBI Insights. https://ncbiinsights.ncbi.nlm.nih.gov/2020/04/09/sars-cov2-data-streamlined-submission-rapid-turnaround/

MPXV Bookmarks

BioStar — Mon, 19 Dec 2022 01:58:20 -0600

MPVX infection across the globe

https://www.cdc.gov/poxvirus/monkeypox/response/2022/world-map.html

Address of the bookmark: https://www.cdc.gov/poxvirus/monkeypox/response/2022/world-map.html

ViralQC: Checking If a Viral Genome Tells the Whole Story

LEGE — Tue, 08 Sep 2026 10:35:04 -0500

Imagine finding a mysterious piece of a puzzle and being told it belongs to a virus. Before studying it, you would want to know two things: Is the piece really viral, and how much of the puzzle is missing?

That is the problem ViralQC (https://github.com/ChengPENG-wolf/ViralQC) aims to solve.

Viral sequences recovered from metagenomic data can be incomplete or contaminated with microbial DNA. ViralQC uses information from both DNA sequences and predicted proteins to detect contamination and estimate how complete a viral contig is.

The authors compared ViralQC with CheckV and found that ViralQC performed particularly well for longer viral contigs, improving contamination detection and completeness estimation in several test cases.

Why does this matter? Because discovering a viral sequence is only the first step. If the sequence is contaminated or incomplete, downstream analyses—such as identifying viral functions or studying evolution—can be misleading.

ViralQC provides a useful quality check before researchers trust the viral genome they have discovered.

In a world where metagenomics is uncovering enormous numbers of unknown viruses, tools like ViralQC help us separate the real viral story from an incomplete or mixed-up one.

More at https://academic.oup.com/bioinformatics/article/42/Supplement_2/btag463/8767288

Coronavirus Resources !

Neel — Wed, 25 Mar 2020 17:11:33 -0500

2019nCoVR features comprehensive integration of genomic and proteomic sequences as well as their metadata information from the GISAID, NCBI, NMDC and CNCB/NGDC. It also incorporates a wide range of relevant information including scientific literatures, news, and popular articles for science dissemination, and provides visualization functionalities for genome variation analysis results based on all collected 2019-nCoV strains.

Annotation

https://bigd.big.ac.cn/ncov/variation/annotation

Genome wharehouse

https://bigd.big.ac.cn/gwh/browse/index

Released Genome

https://bigd.big.ac.cn/ncov/release_genome

Download data

ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/

Raw data

https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae

Address of the bookmark: https://bigd.big.ac.cn/ncov/about

Calling variants in non-diploid systems

Neel — Sat, 26 Jun 2021 15:37:49 -0500

The main challenge associated with non-diploid variant calling is the difficulty in distinguishing between the sequencing noise (abundant in all NGS platforms) and true low frequency variants. Some of the early attempts to do this well have been accomplished on human mitochondrial DNA although the same approaches will work equally good on viral and bacterial genomes (Rebolledo-Jaramillo et al. 2014, Li et al. 2015).

Address of the bookmark: https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html