Running the Titan_Illumina_PE Workflow on Terra.bio v1

The Titan_Illumina_PE workflow is a part of the Public Health Viral Genomics Titan series for SARS-CoV-2 genomic characterization. Titan_Illumina_PE was written specifically to process Illumina paired-end (PE) read data. Input reads are assumed to be the product of sequencing tiled PCR-amplicons designed for the SARS-CoV-2 genome. The most common read data analyzed by the Titan_Illumina_PE workflow are generated with the ARTIC V3 protocol. However, alternative primer schemes such as the QIAseq Primer Panel are also suitable for this workflow. The primer sequence coordinates of the PCR scheme utilized must be provided in BED format along with the raw Illumina read data. Upon initiating a Titan_Illumina_PE job, the input primer scheme coordinates and raw paired-end Illumina read data provided for each sample will be processed to perform consensus genome assembly, infer the quality of both raw read data and the generated consensus genome, and assign lineage or clade designations as outlined in the Titan_Illumina_PE data workflow diagram below. Additional technical documentation for the Titan_Illumina_PE workflow is available at: https://public-health-viral-genomics-theiagen.readthedocs.io/en/latest/titan_workflows.html#titan-workflows-for-genomic-characterization Required input data for Titan Illumina PE: Illumina paired-end read data (forward and reverse FASTQ files per sample) Primer sequence coordinates of the PCR scheme utilized in BED file format Video Instruction: Theiagen Genomics: Titan Genomic Characterization https://www.youtube.com/watch?v=zP9I1r6TNrw Theiagen Genomics: Titan Outputs QC https://www.youtube.com/watch?v=Amb-8M71umw For technical assistance please contact us at: [email protected]

Running the Titan_ONT Workflow on Terra.bio v1

The Titan_ONT workflow is a part of the Public Health Viral Genomics Titan series for SARS-CoV-2 genomic characterization. Titan_ONT was written specifically to process basecalled and demultiplexed Oxford Nanopore Technology (ONT) read data. Input reads are assumed to be the product of sequencing ARTIC V3 tiled PCR-amplicons designed for the SARS-CoV-2 genome. Upon initiating a Titan_ONT run, input read data provided for each sample will be processed to perform consensus genome assembly, infer the quality of both raw read data and the generated consensus genome, and assign lineage or clade designations as outlined in the Titan_ONT data workflow diagram below. Additional technical documentation for the Titan_ONT workflow is available at: https://public-health-viral-genomics-theiagen.readthedocs.io/en/latest/titan_workflows.html#titan-workflows-for-genomic-characterization Required input data for Titan_ONT: Basecalled and demultiplexed ONT read data files (single FASTQ file per sample) Primer sequence coordinates of the PCR scheme utilized in BED file format Titan_ONT has not been written to process FAST5 files Video Instruction: Theiagen Genomics: Titan Genomic Characterization https://www.youtube.com/watch?v=zP9I1r6TNrw Theiagen Genomics: Titan Outputs QC https://www.youtube.com/watch?v=Amb-8M71umw For technical assistance please contact us at: [email protected]

Running the Titan_ClearLabs Workflow on Terra.bio v1

The Titan_ClearLabs workflow is a part of the Public Health Viral Genomics Titan series for SARS-CoV-2 genomic characterization. Titan_CleanLabs was written to process Clear Labs read data for SARS-CoV-2 ARTIC V3 amplicon sequencing. Upon initiating a Titan_ClearLabs run, input read data provided for each sample will be processed to perform consensus genome assembly, infer the quality of both raw read data and the generated consensus genome, and assign lineage or clade designations as outlined in the Titan_ClearLabs data workflow below. Additional technical documentation for the Titan_ClearLabs workflow is available at: https://public-health-viral-genomics-theiagen.readthedocs.io/en/latest/titan_workflows.html#titan-clearlabs Required input data for Titan_ClearLabs: Cear Labs FASTQ read files (single FASTQ file per sample) Primer sequence coordinates of the PCR scheme utilized in BED file format Video Instruction: Theiagen Genomics: Titan Genomic Characterization https://www.youtube.com/watch?v=zP9I1r6TNrw Theiagen Genomics: Titan Outputs QC https://www.youtube.com/watch?v=Amb-8M71umw For technical assistance, please contact us at: [email protected]

Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure

COVID-19 involves a number of organ systems and can present with a wide range of symptoms. From how the virus infects cells to how it spreads between people, the available research suggests that these patterns are very similar to those seen in the closely related viruses SARS-CoV-1 and possibly Middle East respiratory syndrome-related CoV (MERS-CoV).

Pathogen Genomics and Host Cellular Susceptibility Factors of COVID-19

Coronavirus disease 19 (COVID-19) caused by infection with a novel severe acute respiratory syndrome virus -2 (SARS-CoV2) has evolved into a pandemic and a global public health emergency. The viral genomics, host cellular factors, and interactions are critical for establishing a viral infection and developing a related disease. This paper aims to provide an overview of viral genomics and discuss host cellular factors so far identified to be involved with the disease susceptibility. The novel pathogen is a beta coronavirus and one of seven that cause diseases to humans. It is a single strand positive-sense RNA genome virus that encodes 27 proteins, including the structural Spike protein that binds to host cell surface receptors and is a key for viral entry, and 16 nonstructural proteins play a critical role in viral replication and virulence. While the angiotensin-converting enzyme, ACE2 receptor, and the proteases TMPRSS2 and furin are established as necessary for viral entry, host factors CD147, Cathepsins, DPP4, GRP78, L-SIGN, DC-SIGN, Sialic acid, and Plasmin(ogen) may also play a role in the viral entry. The Spike protein and nonstructural proteins, and various host factors working together may contribute to the infection kinetics, high infectivity, rapid transmission, and a spectrum of clinical manifestations of COVID-19. More importantly, they can serve as potential targets in developing strategies for therapeutical prevention and intervention.

Viral Genomics to Inform Infection-control Response in Occupational Coronavirus Disease 2019 (COVID-19) Transmission

Healthcare workers are at increased risk of occupational transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We report 2 instances of healthcare workers contracting SARS-CoV-2 despite no known breach of personal protective equipment. Additional specific equipment cleaning was initiated. Viral genomic sequencing supported this transmission hypothesis and our subsequent response.