Literature DB >> 34368787

An optimized, amplicon-based approach for sequencing of SARS-CoV-2 from patient samples using COVIDSeq assay on Illumina MiSeq sequencing platforms.

Rahul C Bhoyar1, Vigneshwar Senthivel1,2, Bani Jolly1,2, Mohamed Imran1,2, Abhinav Jain1,2, Mohit Kumar Divakar1,2, Vinod Scaria1,2, Sridhar Sivasubbu1,2.   

Abstract

Sequencing of SARS-CoV-2 genomes is crucial for understanding the genetic epidemiology of the COVID-19 pandemic. It is also critical for understanding the evolution of the virus and also for the rapid development of diagnostic tools. The present protocol is a modification of the Illumina COVIDSeq test. We describe an amplicon-based next-generation sequencing approach with short turnaround time, adapted for bench-top sequencers like MiSeq, iSeq, and MiniSeq. For complete details on the use and execution of this protocol, please refer to Bhoyar et al. (2021).
© 2021.

Entities:  

Keywords:  Bioinformatics; Clinical Protocol; Genomics; Immunology; Microbiology; Sequence analysis; Sequencing

Mesh:

Substances:

Year:  2021        PMID: 34368787      PMCID: PMC8326003          DOI: 10.1016/j.xpro.2021.100755

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


Before you begin

The study was approved by the Institutional Human Ethics Committee (IHEC No. Dated CSIR-IGIB/IHEC/2020-21/01). After obtaining informed consent from patients, samples from nasal, nasopharyngeal, and oropharyngeal swabs were collected according to the standard protocol in 3 mL sterile viral transport medium (VTM) tube. All the samples were transported to the laboratory at a cold temperature (2°C–8°C) within 72 h post collection, and stored at −80°C till further used.

Introduction

The Illumina COVIDSeq assay is an amplicon-based next-generation sequencing (NGS) approach for the detection of SARS-CoV-2 RNA isolated from nasopharyngeal, oropharyngeal, and mid-turbinate nasal swabs from patients. The assay is one of the first NGS based SARS-CoV-2 detection assays approved for use under U.S Food and Drug Administration’s Emergency Use Authorization (EUA). The COVIDSeq test was first standardized and validated for Illumina NovaSeq sequencer and can accommodate 384 to 3072 samples, depending on the configuration of flow cells and the instrument (Bhoyar et al. 2021). RNA required for SARS-CoV-2 sequencing can be extracted from decontaminated nasopharyngeal swabs using the methods mentioned in EUA approval that include; Quick-DNA/RNA Viral MagBead Kit (Zymo Research, # R2141) or QIAamp Viral RNA Mini Kit (Qiagen, part # 52906). However, the protocol is compatible with all commonly used viral RNA isolation methods including, Nextractor® NX-48S (GENOLUTION), Trueprep (Molbio Diagnostics Pvt. Ltd.) and TRIzol (Invitrogen). While originally adapted and optimized for larger sequencers, this assay could be optimized for low throughput bench-top equipment for smaller batch sizes. This manuscript details the optimized protocol with marginal modifications along with an open-source pipeline for the analysis and interpretation of data. While the protocol has been standardized for the Illumina MiSeq sequencing platform, by considering the final loading concentration of the library and the data output, the proposed protocol can be adopted for any bench-top sequencer from Illumina Inc.

Requirements for library preparation

This protocol consists of the following key steps: RNA extraction- Prior to RNA extraction, the VTM samples were subjected to heat inactivation at 50°C for 30 min. RNA is extracted from the inactivated specimen (VTM), using any of the following mentioned protocol that includes; QIAmp (QIAGEN), Nextractor® NX-48S (GENOLUTION), TruePrep (Molbio Diagnostics Pvt. Ltd.) and TRIzol (Invitrogen). cDNA synthesis- Generates complementary DNA to the RNA by reverse transcriptase using random hexamers. Target amplification- The synthesized cDNA undergoes two separate PCR reactions to amplify the virus genome present in the sample. Library preparation, Pooling and Quantification- During this process, the pooled amplified products undergo bead-based tagmentation where it gets fragmented and tagged to the adapter sequences. The adapter-tagged fragments undergo another round of PCR amplification, after which indexed tagged libraries will be pooled and cleaned using the purification beads. The pooled library product is quantified using Qubit High Sensitivity dsDNA quantification kit (Invitrogen). Sequencing- The sequencing-ready libraries are clustered onto a flow cell and sequenced using sequencing by synthesis (SBS) chemistry on the Illumina MiSeq sequencing system. Analysis- This step includes genome assembly, variant calling and phylogenetic analysis using established protocols (available in the GitHub repository:https://github.com/bnijolly/Genepi). Prepare the following reagents Isolated SARS-CoV-2 RNA samples. A pre-amplification environment with a Biosafety level 2 (BSL-2) facility is required during RNA sample handling and cDNA preparation. Personal Protective Equipment (PPE), as recommended by WHO for handling viral samples contagious to humans. Two 96-well PCR thermal cyclers. Thermo mixer with a 96-well PCR plate holder. Qubit HS dsDNA quantification kit along with instrument (Thermofisher).

cDNA preparation

Timing: 1 h During this process, the extracted SARS-CoV-2 RNA is annealed using random hexamers and the RNA fragments primed with random hexamers are reverse-transcribed into first strand cDNA using reverse transcriptase enzyme. (All steps to be carried out within the Biosafety cabinet of the BSL-2 facility) Annealing of RNA Label a new 96 well PCR plate as cDNA plate (Figure 1).
Figure 1

Layout of the sample plate to be used denoting the samples, PC and NC

Up-to 94 samples can be processed at once. A positive control (CPC HT) and Negative Control (ELB HT)is included in every plate that is processed using the COVIDSeq protocol.

Layout of the sample plate to be used denoting the samples, PC and NC Up-to 94 samples can be processed at once. A positive control (CPC HT) and Negative Control (ELB HT)is included in every plate that is processed using the COVIDSeq protocol. Add 8.5 μL of the isolated SARS-CoV-2 sample into the wells of the cDNA plate. Add 8.5 μL of EPH3 HT to each well. Mix well with a P10 or P20 multichannel pipette. If plate shaker is available, within the laminar hood, shake the plate at 1600 rpm for 1 min. Seal and spin the plate at 1000 × g for 1 min. Place the cDNA plate on a thermal cycler and run the following program Choose the preheat lid option Set the final volume of the reaction as 17 μL 65oC for 3 min Hold at 4oC First strand cDNA synthesis Prepare First strand cDNA Mastermix (for 96 samples) by mixing 864 μL of FSM HT and 96 μL of RVT HT in a 1.5mL microcentrifuge tube. Add 8 μL of the First strand cDNA mastermix into each well of the cDNA plate and pipette well to mix. Seal and spin the plate at 1000 × g for 1 min. Place the cDNA plate on a thermal cycler and run the following program Choose the preheat lid option Set the final volume of the reaction as 25 μL 25oC for 5 min 50oC for 10 min 80oC for 5 min Hold at 4oC Pause point: The procedure can be paused here and the cDNA plate can be stored at −20oC for up to 7 days.

Amplification of cDNA

Timing: 4 h In this step, the SARS-CoV-2 virus genome present in the test samples is amplified using two separate PCR reactions that are then pooled together. Amplification of prepared cDNA Label two 96-well PCR plates as COV1 and COV2. Prepare PCR1 Mastermix and PCR2 Mastermix in two separate 15 mL tubes. Add the following to each tube: Add 5 μL each of first strand cDNA from the cDNA plate to corresponding wells of COV1 and COV2 plates. Add 20 μL of PCR1 Mastermix to each well of COV1 plate. Add 20 μL of PCR2 Mastermix to each well of COV2 plate. Seal and shake the COV1 and COV2 plates at 1600 rpm for 1 min. Centrifuge the plates at 1000 × g for 1 min. Place the plates on individual thermal cyclers and run the following program Choose the preheat lid option Set the final volume of the reaction as 25 μL Set up the PCR with the following conditions The program has a run time of approximately 03 h and 30 min. Pause point: The procedure can be paused here and the COV1 and COV2 plates can be stored at −20oC for up to 3 days.

Key resources table

Materials and equipment

Items not included along with the Illumina COVIDSeq test kit Positive control and Elution Buffer are provided in the COVIDSeq test kit. CPC HT is provided at a stock concentration of 1 million copies/μL. A working solution of 5 copies/μL have to be prepared before adding to the plate. Elution buffer is used directly as a negative control.

Step-by-step method details

Library preparation and library pooling

Timing: 3–4 h In this step, the prepared cDNA of the SARS-CoV-2 genome is tagmented (tagged and fragmented), indexed and amplified to become sequencing-ready libraries. Tagmentation of PCR amplicons Label a new 96-well PCR plate as TAG plate. From COV1 and COV2 plates, combine 10 μL of contents from each well to their respective wells in TAG1 plate, and mix well. This results in a total volume of 20 μL in each well of the TAG1 plate. To make Tagmentation Mastermix: Label a 15 mL tube as Tagmentation Mastermix. Follow the table below to prepare Tagmentation Mastermix. Vortex for 30 s to mix well. Add 30 μL of Tagmentation Mastermix to each well in the TAG1 plate. Seal and shake the TAG1 plate at 1600 rpm for 1 min. Centrifuge at 1000 × g for 1 min if the contents of the well are found sticking to the walls or the seal of the TAG1 plate. Place on a thermal cycler and run the following program. Choose the preheat lid option Set the total volume of the reaction as 50 μL. 55oC for 5 min Hold at 10oC. Post Tagmentation Clean-up Centrifuge the TAG1 plate at 500 × g for 1 min. Remove the seal and add 10 μL of ST2 HT to each well of the TAG1 plate. Seal and shake at 1600rpm for 1 min. Incubate the plate at room temperature (22°C–25°C) for 5 min. Centrifuge the TAG1 plate at 500 × g for 1 min. Remove the seal carefully and place the plate on a magnetic stand. Wait for 3 min/until the liquid is clear. Remove and discard all supernatants from the wells. Wash the beads as follows Remove the plate from the magnetic stand. Add 100 μL of TWB HT to each well. Seal and shake at 1600 rpm for 1 min and centrifuge at 500 × g for 1 min. Remove the seal and place the plate on the magnetic stand. Wait for 3 min/until the liquid is clear. Remove and discard the supernatant from each well. Repeat the wash steps (step i; i-v) one more time. CRITICAL: Do not discard the supernatant after the second wash, to prevent the beads from over drying. Amplification of tagmented amplicons In a 15 mL tube, prepare Enhanced PCR Mix Add 2304 μL of EPM HT (24 μL × 96 samples). Add 2304 μL of Nuclease-free water (24 μL × 96 samples). Vortex the tube to mix. Remove and discard the supernatant from the TAG1 plate. Use a 10 μL or 20 μL pipette to remove any remaining TWB HT from the TAG1 plate. Add 40 μL of Enhanced PCR Mix to each well of the TAG1 plate. Add 10 μL of index adapters to each well of the TAG1 plate. Seal and shake the plate at 1600 rpm for 1 min and centrifuge the plate at 500 × g for 1 min. CRITICAL: Inspect the tubes to make sure the beads are fully resuspended and are not found at the bottom of the tubes. Place on a thermal cycler and run the following PCR program Choose the preheat lid option and set the temperature to 100oC. Set the total volume of the reaction to be 50 μL. Library pooling and Clean up Centrifuge the TAG1 plate at 500 × g for 1 min. Remove the seal and place the plate on a magnetic stand and wait for 3 min/until the liquid is clear. Transfer 5 μL of library from each well into an 8-tubes strip. This results in a pooled volume of 60 μL in each tube of the 8-tubes strip. CRITICAL: Discard and change tips for each column of samples while transferring. Transfer 55 μL of pooled library from each tube to a 1.5 mL microcentrifuge tube. This results in a total of 440 μL of pooled libraries (from 96 samples). Add 396 μL of ITB to each tube (ITB volume is calculated by multiplying the total volume of the pooled libraries with 0.9 i.e., for 96 samples: 440 μL × 0.9 = 396 μL) Vortex the tube to mix well. Incubate the tube at room temperature for 5 min. Spin briefly and place the tube on a 1.5mL tube magnetic stand and wait for 5 min. Remove and discard all supernatants. Wash the beads as follows: Add 1000 μL of freshly prepared 80% ethanol to the tube and wait for 30 s. Remove and discard the supernatant. Repeat the above-mentioned wash steps one more time for a total of 2 washes with 80% ethanol. Remove any residual ethanol left on the tube. Air dry the beads for 2 min. Add 55 μL of Resuspension Buffer to the tube and vortex to mix. Incubate at room temperature for 2 min. Spin briefly and place the tube in the magnetic stand and wait for 2 min. Label a new 1.5 mL tube as Final Pool. Transfer 50 μL of the supernatant into the Final Pool tube. Pause point: The procedure can be paused here and the Final Pool tube can be stored at −20oC for 30 days. Quantification and Normalization of the library pool Using the Qubit High Sensitivity dsDNA quantification kit (Invitrogen), quantify the library pool Dilute 1 μL of the pooled library sample in the ratio of 1:3. Use 2 μL of the diluted library for quantification. Calculate the actual concentration of the library by factoring in the dilution. Load 2 μL of the pooled library (undiluted) onto a 2% agarose gel. The libraries should be observed between the size 300–400 bp. Using the formula below, calculate the concentration of the library in Molar units. Dilute the library with Resuspension Buffer to a final concentration of 4nM. The formula for calculating Molarity: [Library Conc (ng/μL)]/ [660(g/mol) x average library size (bp)]×106= Conc. of Library (nM)

Sequencing the libraries

Timing: ~22 h: according to MiSeq reagent kit V3 (2 × 75bp) The prepared COVIDSeq libraries will be sequenced in this step using the MiSeq sequencing platform Preparing PhiX Label a new 1.5 mL tube as PhiX Control. Combine 2 μL of PhiX stock library (10nM) and 3 μL of Nuclease-free water to make 4nM PhiX library CRITICAL: Prepare a fresh PhiX dilution and use it within 12 hours of preparation. Label a new 1.5 mL tube as PhiX-Final and add 5 μL of diluted PhiX (4nM) and 5 μL of 0.2N freshly prepared NaOH. Vortex the tube briefly to mix. Spin and incubate the tube at room temperature for 5 min. Add 990 μL of prechilled HT1 to the PhiX-Final tube resulting in 1mL of 20pM PhiX library. Denaturation of COVIDSeq library Label a new 1.5 mL tube as Library-Final and add 5 μL of diluted library (4nM) and 5 μL of 0.2N freshly prepared NaOH. Vortex the tube briefly to mix. Spin and incubate the tube at room temperature for 5 min. Add 990 μL of pre-chilled HT1 to the tube resulting in 1mL of 20pM Final library. CRITICAL: For instructions regarding final loading concentration and PhiX spike-in for MiSeq system, refer to the MiSeq system Denature and Dilute Libraries Guide. To prepare 6pM final loading concentration library Label a new 1.5mL tube as 6pM Final Library tube. Add 180 μL of the 20pM library from the Library-Final tube. Add 420 μL of pre-chilled HT1 and mix well. Discard 6 μL of the mixture. Add 6 μL of the 20pM PhiX library for 1% spike in as recommended by Illumina Inc. Mix well with a pipette, spin briefly and place the tube on ice. The library is ready to be loaded onto the flow cell. CRITICAL: The final library has to be loaded onto the flow cell within 30 minutes of preparation. To reduce the handling time, the denaturation of the library and PhiX can be performed simultaneously. Sequencing and expected Output Load the library into the MiSeq Sequencing cartridge and initiate sequencing as per the MiSeq Sequencing guide by Illumina Inc. For sequencing using MiSeq v3 2×75 cycles kit, the estimated yield is about 3.3–3.8 Gb as per Illumina Inc.

Expected outcomes

Upon successful tagmentation and size selection the final library pool will appear as ~300 bp size band on 2% agarose gel (Figure 2). Any deviation in the fragment size may be the result of erroneous tagmentation or size selection, which can be minimized with proper handling and pipetting practices.
Figure 2

Quality of the final library pool was analyzed by agarose gel electrophoresis (2%), the expected fragment of ~300 bp size was observed

Quality of the final library pool was analyzed by agarose gel electrophoresis (2%), the expected fragment of ~300 bp size was observed

Quantification and statistical analysis

Genome assembly, variant calling, and phylogenetic analysis

This step describes the basic bioinformatics pipeline for genome assembly and identification of variants in the SARS-CoV-2 genome. The raw sequencing data generated by Illumina sequencing platforms are in the form of Binary Base Call (BCL) files and require conversion to FASTQ format before further processing. The BCL files generated by the sequencer are demultiplexed to FASTQ files using the bcl2fastq conversion software provided by Illumina using the command: bcl2fastq --runfolder-dir --sample-sheet --output-dir The raw FASTQ files need to undergo additional processing steps, including quality control, trimming, alignment against the SARS-CoV-2 reference genome and sorting. The resulting BAM file containing mapped and sorted reads are then used to call variants and generate a consensus sequence of the genomes in FASTA file format. The steps to assemble SARS-CoV-2 genomes from raw FASTQ files are detailed in a recent protocol (Poojary et al 2020). Sample parameters and metrics that may be used to assess the quality of the assembled genomes are given in Table 1.
Table 1

Data generated from a single sample of the 96 samples sequenced using the MiSeq platform

Sample IDNumber of raw reads R1Number of raw reads R2Number of reads after trimming R1Number of reads after trimming R2% Of reads Aligned with referenceNumber of base Pairs CoveredX coverageGenome coverageNumber of variants calledPango lineageTime taken
CSXXXX143191914319191221580122158099.52%843103802819.4699.84%11B.1.36318 s
Data generated from a single sample of the 96 samples sequenced using the MiSeq platform For assignment of lineages to the assembled genome FASTA sequences, we use the Phylogenetic Assignment of Named Global Outbreak Lineages (PANGOLIN) software command line tool using the command: pangolin .fasta Alternatively, the web version of PANGOLIN (available at https://pangolin.cog-uk.io/) can be used to assign lineages to the generated FASTA sequences (Rambaut et al 2020). The FASTA sequence files can also be used to analyze and visualize evolutionary relationships through phylogenetic clustering. For performing the phylogenetic analysis, we use the open-source tool-kit Nextstrain following a recently detailed protocol (Jolly and Scaria 2021). The comparison of data output, coverage and time taken for analysis between MiSeq and NovaSeq 6000 is provided in the Tables S1 and S2.

Limitations

As explained in our previous report (Bhoyar et al 2021), the Illumina COVIDSeq assay can detect RNA from SARS-CoV-2 in nasopharyngeal, oropharyngeal, and mid-turbinate nasal swabs from patients suspected to have COVID-19 with the highest CT 37 to the lowest CT samples. However, we have noticed that in order to capture the whole SARS-CoV-2 genome, RNA samples below CT 22 should be considered.

Troubleshooting

Problem 1

Amplification in the negative control (NC) (Step: cDNA Preparation) In some cases, users may get amplification in the negative control well in the COVIDSeq assay.

Potential solution

To avoid amplification in the negative control we encourage the users to stick to the following practices. Autoclave all the pipettes before initiating a new experiment. Thoroughly decontaminate the Biosafety cabinet before the experiment. Use fresh pipette tips and fresh consumables between samples and dispensing reagents. Use aerosol resistant pipette tips to minimize the risk of carry over and sample to sample cross contamination. Use fresh PCR plate sealing films every time.

Problem 2

Low genome coverage in samples (Step-Genome Assembly, Variant Calling and Phylogenetic Analysis). Users may find the genome coverage in certain samples is low and the samples do not return any variant after the analysis. Users may ensure that the starting material has a high viral load i.e., we recommend samples with a CT value of <25 for 99% genome coverage.

Resource availability

Lead contact

Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Dr. Sridhar Sivasubbu (sridhar@igib.in).

Materials availability

All the materials used in the protocol are available without any restrictions; the details of the kits used in the protocol are given in the “key resources table”.

Data and code availability

All the scripts used for the SARS-CoV-2 sequencing analysis and interpretation are adopted from Poojary et al 2020 (GitHub repository: https://github.com/banijolly/Genepi).
S.NoItem nameVolume for 96 samplesVolume for 1 sample
1Nuclease Free Water451.2 μL4.7 μL
2IPM HT1440 μL15μL
3CPP1 HT (for PCR1)/ CPP2 HT (for PCR2)412.8μL4.3μL
PCR cycling conditions
StepsTemperatureTimeCycles
Initial Denaturation98oC3 minx 1 cycle
Denaturation98oC15 sx 35 cycles
Annealing65oC5 min
Hold4oC
REAGENT or RESOURCESOURCEIDENTIFIER
Chemicals, peptides, and recombinant proteins

Ethanol, Molecular GradeMerck100983
Nuclease-Free WaterAmbionAM9906

Critical commercial assays

Illumina COVIDSeq Test 3072 samplesIllumina20043675
MiSeq Reagent Kit V3 (150 cycles)IlluminaMS-102-3001
Qubit dsDNA HS Assay KitThermo FisherQ32851

Biological samples

SARS-CoV-2 RNANasopharyngealoOropharyngeal swab samplesNA

Oligonucleotides

IDT for Illumina PCR Indexes Set 1–4Illumina20043137

Software and Algorithms

bcl2fastq Conversion SoftwareIlluminaNA
Phylogenetic Assignment of Named Global Outbreak Lineages (PANGOLIN)Center for Genomic Pathogen Surveillancehttps://github.com/cov-lineages/pangolin
Nextstrain open-source toolkitHadfield et al.,2018https://github.com/nextstrain

Deposited data

Scripts used for the SARS-CoV-2 sequencing analysis and interpretationPoojary et al., 2020https://github.com/banijolly/Genepi

Other

96-Well PCR thermal cyclersVeriti 96-Well Thermal Cycler4375786
Thermomixer with a 96-well PCR plate holderEppendorf ThermoMixer C05–412-503
96-Well PCR plateThermo FisherAB0600
ReagentDescriptionStorageTotal volume required per reaction
SARS-CoV-2 RNA aSample−20oC8.5 μL
CPC HTbCOVIDSeq Positive Control HT−20oC8.5 μL
ELB HTbElution Buffer HT−20oC8.5 μL
EPH3 HTElution Prime Fragment 3HC Mix−20oC8.5 μL
FSM HTFirst Strand Mix HT−20oC9 μL
RVT HTReverse Transcriptase HT−20oC1 μL
IPM HTIllumina PCR Mix HT−20oC15 μL
CPP1 HTCOVIDSeq Primer Pool HT 1−20oC4.3 μL
CPP2 HTCOVIDSeq Primer Pool HT 2−20oC4.3 μL
TB1 HTTagmentation Buffer 1 HT4oC12 μL
EBLTS HTEnrichment BLT HT−20oC4 μL
ST2 HTStop TagmentBuffer2 HT4oC10 μL
TWB HTTagmentation Wash Buffer HT4oC200 μL
EPM HTEnhanced PCR Mix HT−20oC24 μL
Index adapteraIDT for Illumina PCR Indexes- Set 1,2,3,4−20oC10 μL
ITBIllumina Tune BeadsRT396 μL (for 96 samples)
80% Ethanola80% EthanolRT2 mL
RSBResuspension Buffer4oC55 μL
0.2N NaOHDenaturation solutionRT10 μL
HT1Neutralizing Buffer−20oC2.4 mL
PhiXSpike in Control20oC5 μL
NFWaNuclease Free WaterRT25 mL

Items not included along with the Illumina COVIDSeq test kit

Positive control and Elution Buffer are provided in the COVIDSeq test kit. CPC HT is provided at a stock concentration of 1 million copies/μL. A working solution of 5 copies/μL have to be prepared before adding to the plate. Elution buffer is used directly as a negative control.

S.NoItem nameVolume for 96 samplesVolume for 1 sample
1Nuclease-free water1920 μL20 μL
2TB1 HT1152 μL12 μL
3EBLTS HT384 μL4 μL
PCR cycling conditions
StepsTemperatureTimeCycles
Initialization72oC3 minx1 cycle
Initial Denaturation98oC3 minx1 cycle
Denaturation98oC20 sx7 cycles
Annealing60oC30 s
Extension72oC1 min
Final extension72oC3 minx1 cycle
Hold10oC
  4 in total

1.  Computational Analysis and Phylogenetic Clustering of SARS-CoV-2 Genomes.

Authors:  Bani Jolly; Vinod Scaria
Journal:  Bio Protoc       Date:  2021-04-20

2.  Nextstrain: real-time tracking of pathogen evolution.

Authors:  James Hadfield; Colin Megill; Sidney M Bell; John Huddleston; Barney Potter; Charlton Callender; Pavel Sagulenko; Trevor Bedford; Richard A Neher
Journal:  Bioinformatics       Date:  2018-12-01       Impact factor: 6.931

3.  A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology.

Authors:  Andrew Rambaut; Edward C Holmes; Áine O'Toole; Verity Hill; John T McCrone; Christopher Ruis; Louis du Plessis; Oliver G Pybus
Journal:  Nat Microbiol       Date:  2020-07-15       Impact factor: 17.745

4.  High throughput detection and genetic epidemiology of SARS-CoV-2 using COVIDSeq next-generation sequencing.

Authors:  Rahul C Bhoyar; Abhinav Jain; Paras Sehgal; Mohit Kumar Divakar; Disha Sharma; Mohamed Imran; Bani Jolly; Gyan Ranjan; Mercy Rophina; Sumit Sharma; Sanjay Siwach; Kavita Pandhare; Swayamprabha Sahoo; Maheswata Sahoo; Ananya Nayak; Jatindra Nath Mohanty; Jayashankar Das; Sudhir Bhandari; Sandeep K Mathur; Anshul Kumar; Rahul Sahlot; Pallavali Rojarani; Juturu Vijaya Lakshmi; Avileli Surekha; Pulala Chandra Sekhar; Shelly Mahajan; Shet Masih; Pawan Singh; Vipin Kumar; Blessy Jose; Vidur Mahajan; Vivek Gupta; Rakesh Gupta; Prabhakar Arumugam; Anjali Singh; Ananya Nandy; Ragavendran P V; Rakesh Mohan Jha; Anupama Kumari; Sheetal Gandotra; Vivek Rao; Mohammed Faruq; Sanjeev Kumar; Betsy Reshma G; Narendra Varma G; Shuvra Shekhar Roy; Antara Sengupta; Sabyasachi Chattopadhyay; Khushboo Singhal; Shalini Pradhan; Diksha Jha; Salwa Naushin; Saruchi Wadhwa; Nishu Tyagi; Mukta Poojary; Vinod Scaria; Sridhar Sivasubbu
Journal:  PLoS One       Date:  2021-02-17       Impact factor: 3.240

  4 in total
  4 in total

1.  Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking.

Authors:  Sara Donzelli; Ludovica Ciuffreda; Martina Pontone; Martina Betti; Alice Massacci; Carla Mottini; Francesca De Nicola; Giulia Orlandi; Frauke Goeman; Eugenia Giuliani; Eleonora Sperandio; Giulia Piaggio; Aldo Morrone; Gennaro Ciliberto; Maurizio Fanciulli; Giovanni Blandino; Fulvia Pimpinelli; Matteo Pallocca
Journal:  Comput Struct Biotechnol J       Date:  2022-05-19       Impact factor: 6.155

2.  Identification of SARS-CoV-2 variants using viral sequencing for the Centers for Disease Control and Prevention genomic surveillance program.

Authors:  Chirayu Goswami; Michael Sheldon; Christian Bixby; Mehdi Keddache; Alexander Bogdanowicz; Yihe Wang; Jonathan Schultz; Jessica McDevitt; James LaPorta; Elaine Kwon; Steven Buyske; Dana Garbolino; Glenys Biloholowski; Alex Pastuszak; Mary Storella; Amit Bhalla; Florence Charlier-Rodriguez; Russ Hager; Robin Grimwood; Shareef A Nahas
Journal:  BMC Infect Dis       Date:  2022-04-25       Impact factor: 3.667

3.  Simultaneous SARS-CoV-2 Genome Sequencing of 384 Samples on an Illumina MiSeq Instrument through Protocol Optimization.

Authors:  Nasserdine Papa Mze; Mamadou Beye; Idir Kacel; Raphael Tola; Leonardo Basco; Hervé Bogreau; Philippe Colson; Pierre-Edouard Fournier
Journal:  Genes (Basel)       Date:  2022-09-14       Impact factor: 4.141

4.  Performance of COVIDSeq and Swift Normalase Amplicon SARS-CoV-2 Panels for SARS-CoV-2 Genome Sequencing: Practical Guide and Combining FASTQ Strategy.

Authors:  Hosoon Choi; Munok Hwang; Dhammika H Navarathna; Jing Xu; Janell Lukey; Chetan Jinadatha
Journal:  J Clin Microbiol       Date:  2022-03-24       Impact factor: 11.677

  4 in total

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