scholarly journals High-throughput SARS-CoV-2 and host genome sequencing from single nasopharyngeal swabs

2020 ◽  
Author(s):  
John E Gorzynski ◽  
Hannah N De Jong ◽  
David Amar ◽  
Chris R Hughes ◽  
Alexander Ioannidis ◽  
...  
Keyword(s):  
Genome Sequencing ◽  
High Throughput ◽  
Genomic Data ◽  
High Fidelity ◽  
Whole Genome ◽  
Data Generation ◽  
Viral Genomes ◽  
Human Transcriptome ◽  
Low Pass ◽  
Rapid Generation

During COVID19 and other viral pandemics, rapid generation of host and pathogen genomic data is critical to tracking infection and informing therapies. There is an urgent need for efficient approaches to this data generation at scale. We have developed a scalable, high throughput approach to generate high fidelity low pass whole genome and HLA sequencing, viral genomes, and representation of human transcriptome from single nasopharyngeal swabs of COVID19 patients.

scholarly journals cognac: rapid generation of concatenated gene alignments for phylogenetic inference from large whole genome sequencing datasets

2020 ◽  
Author(s):  
Ryan D. Crawford ◽  
Evan S. Snitkin
Keyword(s):  
Phylogenetic Analysis ◽  
Genome Sequencing ◽  
Software Package ◽  
Genomic Data ◽  
Phylogenetic Inference ◽  
R Package ◽  
Core Gene ◽  
Whole Genome ◽  
Rapid Generation ◽  
User Friendly

AbstractThe quantity of genomic data is expanding at an increasing rate. Tools for phylogenetic analysis which scale to the quantity of available data are required. We present cognac, a user-friendly software package to rapidly generate concatenated gene alignments for phylogenetic analysis. We applied this tool to generate core gene alignments for very large genomic datasets, including a dataset of over 11,000 genomes from the genus Escherichia containing 1,353 genes, which was constructed in less than 17 hours. We have released cognac as an R package (https://github.com/rdcrawford/cognac) with customizable parameters for adaptation to diverse applications.

scholarly journals Identifying Aspects of Public Attitudes Toward Whole Genome Sequencing to Inform the Integration of Genomics into Care

2021 ◽  
pp. 1-12
Author(s):  
Holly Etchegary ◽  
Daryl Pullman ◽  
Charlene Simmonds ◽  
Zoha Rabie ◽  
Proton Rahman
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Online Survey ◽  
Public Attitudes ◽  
Genetic Counselor ◽  
Genomic Medicine ◽  
Genomic Data ◽  
Whole Genome ◽  
The Public ◽  
Genomic Test

<b><i>Introduction:</i></b> The growth of global sequencing initiatives and commercial genomic test offerings suggests the public will increasingly be confronted with decisions about sequencing. Understanding public attitudes can assist efforts to integrate sequencing into care and inform the development of public education and outreach strategies. <b><i>Methods:</i></b> A 48-item online survey was advertised on Facebook in Eastern Canada and hosted on SurveyMonkey in late 2018. The survey measured public interest in whole genome sequencing and attitudes toward various aspects of sequencing using vignettes, scaled, and open-ended items. <b><i>Results:</i></b> While interest in sequencing was high, critical attitudes were observed. In particular, items measuring features of patient control and choice regarding genomic data were strongly endorsed by respondents. Majority wanted to specify upfront how their data could be used, retain the ability to withdraw their sample at a later date, sign a written consent form, and speak to a genetic counselor prior to sequencing. Concerns about privacy and unauthorized access to data were frequently observed. Education level was the sociodemographic variable most often related to attitude statements such that those with higher levels of education generally displayed more critical attitudes. <b><i>Conclusions:</i></b> Attitudes identified here could be used to inform the development of implementation strategies for genomic medicine. Findings suggest health systems must address patient concerns about privacy, consent practices, and the strong desire to control what happens to their genomic data through public outreach and education. Specific oversight procedures and policies that are clearly communicated to the public will be required.

Rapid, high throughput library preparation of SARS-CoV2 using Illumina’s DNA Prep Library Preparation Kit v2

2022 ◽  
Author(s):  
Jason Nguyen ◽  
Rebecca Hickman ◽  
Tracy Lee ◽  
Natalie Prystajecky ◽  
John Tyson
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
High Throughput ◽  
Illumina Miseq ◽  
Whole Genome ◽  
Library Preparation ◽  
Dna Libraries ◽  
Reaction Volumes ◽  
Single Size ◽  
Stop Buffer

This procedure provides instructions on how to prepare DNA libraries for whole genome sequencing on an Illumina MiSeq or NextSeq using Illumina’s DNA Prep Library Preparation Kit scaled to half reaction volumes with modifications to the post-PCR procedures; tagmentation stop buffer and associated washes are removed and libraries are pooled post PCR then a single size selection is performed. This protocol is used to sequence SARS-CoV-2 using the cDNA/PCR protocol: https://dx.doi.org/10.17504/protocols.io.b3viqn4e

scholarly journals High-throughput screening and whole genome sequencing identifies an antimicrobially active inhibitor of Vibrio cholerae

2014 ◽  
Vol 14 (1) ◽  
pp. 49 ◽  
Author(s):  
Galina Sergeev ◽  
Sambit Roy ◽  
Michael Jarek ◽  
Viktor Zapolskii ◽  
Dieter E Kaufmann ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Vibrio Cholerae ◽  
Genome Sequencing ◽  
High Throughput ◽  
High Throughput Screening ◽  
Whole Genome ◽  
Active Inhibitor

Copy‐Number Variants Detection by Low‐Pass Whole‐Genome Sequencing

2017 ◽  
Vol 94 (1) ◽  
Author(s):  
Zirui Dong ◽  
Weiwei Xie ◽  
Haixiao Chen ◽  
Jinjin Xu ◽  
Huilin Wang ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Copy Number ◽  
Copy Number Variants ◽  
Whole Genome ◽  
Low Pass

iStopCancer: A database of 6,016 low pass whole genome sequencing of minimal invasive samples from 21 cancer types of Chinese population.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 7062-7062
Author(s):  
Min Yuan ◽  
Qian Ziliang ◽  
Juemin Fang ◽  
Zhongzheng Zhu ◽  
Jianguo Wu ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Cancer Patients ◽  
Genome Sequencing ◽  
Minimal Invasive ◽  
The Body ◽  
Whole Genome Sequencing Data ◽  
Low Grade ◽  
Whole Genome ◽  
Low Pass ◽  
Low Coverage

7062 Background: Cancer is a group of genetic diseases that result from changes in the genome of cells in the body, leading them to grow uncontrollably. Recent researches suggest Chromosome instability (CIN), which is defined as an increased rate of chromosome gains and losses, manifests as cell-to-cell karyotypic heterogeneity and drives cancer initiation and evolution. Methods: In the past two years, we initiated iStopCancer project, and characterized 4515 ‘best available’ minimal-invasive samples from cancer patients and 1501 plasma samples from non-tumor diseases by using low-pass whole genome sequencing. DNA from ‘best available’ minimal-invasive samples, including peripheral plasma, urines, pancreatic juice, bile and effusions were analyzed by low coverage whole genome sequencing followed by the UCAD Bioinformatics workflow to characterize the CINs. In total, 32T bp nucleotide (coverage =1.7X for each sample) were collected. All the data can be visualized on website: http://www.istopcancer.net/pgweb/cn/istopcancer.jsp . Results: 3748(83%) of tumors present detectable CIN (CIN score>1000) in minimal-invasive samples. The missed cancer patients were majorly from patients with either tumor size less than 2cm or less-aggressive cancers, including thyroid cancer, low-grade urothelial carcinoma, lung cancer in-situ, et al. Of the 1501 non-tumor individuals, 30(2.0%) present detectable CIN (|Z|>=3) at the time of sample collection, 24(80.0%) was diagnosed as tumor patient in 3-6 months follow-up. There were 9 (0.59%) of non-cancer individuals without detectable CIN were also reported as tumor patients during 6-month following up. In summary, the positive and negative prediction value is 80.0% and 99.4% respectively. The false alarms were majorly from patients with EBV activations, which indicates virus may interference chromosome stability and drove virus-associated carcinogenesis. For the patient with repeated detections, plasma cfDNA CIN dynamics predicted clinical responses and disease recurrences. Quick clearance of plasma cfDNA CIN in 2-3 weeks was found in 153 (83.6%) patients. Meanwhile, no quick clearance was found in majority of SDs/PDs (73/88=83.0%). Furthermore, cfDNA CIN predicts clinical response 2-8 weeks ahead of traditional biomarkers (CEA, CA15-3, CA199, AFP et al). Conclusions: Large-scale low coverage whole genome sequencing data provides useful information for cancer detection and managements.

scholarly journals Identification and Whole-Genome Sequencing of Four Enterovirus D68 Strains in Southern China in Late 2015

2016 ◽  
Vol 4 (5) ◽  
Author(s):  
Long Chen ◽  
Lei Shi ◽  
Hong Yang ◽  
Da-Yong Gu ◽  
Jun Meng ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Phylogenetic Relationship ◽  
Genome Sequencing ◽  
Southern China ◽  
Northern China ◽  
Genomic Sequences ◽  
Whole Genome ◽  
Influenza Like Illness ◽  
Viral Genomes ◽  
Enterovirus D68

Four enterovirus D68 (EV-D68) strains from four children with influenza-like illness were identified in Shenzhen, southern China, in late 2015. Here, we announce the availability of these viral genomes in GenBank. The genomic sequences of these EV-D68 strains showed the closest phylogenetic relationship to strains from northern China.

scholarly journals Rapid in-country sequencing of whole virus genomes to inform rabies elimination programmes

2020 ◽  
Vol 5 ◽  
pp. 3 ◽  
Author(s):  
Kirstyn Brunker ◽  
Gurdeep Jaswant ◽  
S.M. Thumbi ◽  
Kennedy Lushasi ◽  
Ahmed Lugelo ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Genomic Data ◽  
Genomic Research ◽  
Whole Genome ◽  
Middle Income ◽  
Endemic Disease ◽  
Middle Income Countries ◽  
Virus Genomes ◽  
Low And Middle Income

Genomic surveillance is an important aspect of contemporary disease management but has yet to be used routinely to monitor endemic disease transmission and control in low- and middle-income countries. Rabies is an almost invariably fatal viral disease that causes a large public health and economic burden in Asia and Africa, despite being entirely vaccine preventable. With policy efforts now directed towards achieving a global goal of zero dog-mediated human rabies deaths by 2030, establishing effective surveillance tools is critical. Genomic data can provide important and unique insights into rabies spread and persistence that can direct control efforts. However, capacity for genomic research in low- and middle-income countries is held back by limited laboratory infrastructure, cost, supply chains and other logistical challenges. Here we present and validate an end-to-end workflow to facilitate affordable whole genome sequencing for rabies surveillance utilising nanopore technology. We used this workflow in Kenya, Tanzania and the Philippines to generate rabies virus genomes in two to three days, reducing costs to approximately £60 per genome. This is over half the cost of metagenomic sequencing previously conducted for Tanzanian samples, which involved exporting samples to the UK and a three- to six-month lag time. Ongoing optimization of workflows are likely to reduce these costs further. We also present tools to support routine whole genome sequencing and interpretation for genomic surveillance. Moreover, combined with training workshops to empower scientists in-country, we show that local sequencing capacity can be readily established and sustainable, negating the common misperception that cutting-edge genomic research can only be conducted in high resource laboratories. More generally, we argue that the capacity to harness genomic data is a game-changer for endemic disease surveillance and should precipitate a new wave of researchers from low- and middle-income countries.

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