Setu: a pipeline for the robust assembly of SARS-CoV-2 genomes.

Setu is an efficient pipeline integrating currently available open source bioinformatic tools to perform rapid de novo assembly to assist tracking of severe acute respiratory syndrome coronavirus 2 genome evolution in clinical data, being particularly useful for institutions with limited computing resources or personnel not familiar with bioinformatic pipelines.

Comparative genome analysis reveals driving forces behind Monkeypox virus evolution and sheds light on the role of ATC trinucleotide motif.

Monkeypox (MPOX), a zoonotic disease originating in Western and Central Africa in 1970, has seen a recent surge in outbreaks across 100+ countries. A comparative analysis of 404 Monkeypox virus (MPXV) genomes revealed notable changes in microsatellite abundance and density, especially within Clades I, IIa, and IIb. Each clade exhibited unique microsatellite motifs, with twenty-six conserved loci specific to MPXV, suggesting their potential as molecular markers in diagnostics. Additionally, nine genes in the MPXV genome featured ten variable hotspot microsatellite regions associated with surface protein synthesis and host control. Notably, gene OPG153, especially at the SSR locus '(ATC)n', exhibited the most pronounced variations among lineages over time and plays a role in virus pathogenesis within the host cell. These findings not only enhance our understanding of MPXV unique molecular profile but also offer valuable insights into potential pathogenic and evolutionary implications.

COVID Variants, Villain and Victory: A Bioinformatics Perspective.

The SARS-CoV-2 virus, a novel member of the Coronaviridae family, is responsible for the viral infection known as Coronavirus Disease 2019 (COVID-19). In response to the urgent and critical need for rapid detection, diagnosis, analysis, interpretation, and treatment of COVID-19, a wide variety of bioinformatics tools have been developed. Given the virulence of SARS-CoV-2, it is crucial to explore the pathophysiology of the virus. We intend to examine how bioinformatics, in conjunction with next-generation sequencing techniques, can be leveraged to improve current diagnostic tools and streamline vaccine development for emerging SARS-CoV-2 variants. We also emphasize how bioinformatics, in general, can contribute to critical areas of biomedicine, including clinical diagnostics, SARS-CoV-2 genomic surveillance and its evolution, identification of potential drug targets, and development of therapeutic strategies. Currently, state-of-the-art bioinformatics tools have helped overcome technical obstacles with respect to genomic surveillance and have assisted in rapid detection, diagnosis, and delivering precise treatment to individuals on time.

From bench to bedside: potential of translational research in COVID-19 and beyond.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease 2019 (COVID-19) have been around for more than 3 years now. However, due to constant viral evolution, novel variants are emerging, leaving old treatment protocols redundant. As treatment options dwindle, infection rates continue to rise and seasonal infection surges become progressively common across the world, rapid solutions are required. With genomic and proteomic methods generating enormous amounts of data to expand our understanding of SARS-CoV-2 biology, there is an urgent requirement for the development of novel therapeutic methods that can allow translational research to flourish. In this review, we highlight the current state of COVID-19 in the world and the effects of post-infection sequelae. We present the contribution of translational research in COVID-19, with various current and novel therapeutic approaches, including antivirals, monoclonal antibodies and vaccines, as well as alternate treatment methods such as immunomodulators, currently being studied and reiterate the importance of translational research in the development of various strategies to contain COVID-19.