Jitendra Lab !

The newly published study titled "SARS-CoV-2 Alchemy: Understanding the dynamics of age, vaccination, and geography in the evolution of SARS-CoV-2 in India" presents a large-scale genomic analysis of nearly 70,000 SARS-CoV-2 sequences from across India.

We’ve developed getENRICH, an open-source tool for gene and pathway enrichment analysis tailored for non-model organisms. It supports both command-line and web-based GUI use, making it accessible for users with or without programming skills. The tool uses hypergeometric distribution and Benjamini–Hochberg correction to compute enrichment significance, and allows visualization of results. getENRICH is freely available under the MIT license, with full documentation and example datasets.

We developed Setu: a groundbreaking bioinformatics pipeline designed to streamline the assembly of SARS-CoV-2 genomes. Addressing the challenges posed by the rapid spread of SARS-CoV-2 and the emergence of new variants, Setu is engineered to be both robust and user-friendly, making it accessible to a wider range of laboratories, including those with limited computational resources.

I would like to extend my heartfelt thanks to our MPOX team—Preeti Agarwal, Nityendra Shukla, Ajay Bhatia, and Sahil Mahfooz—for out groundbreaking publication in the Viral Evolution journal titled 'Comparative Genome Analysis Reveals Driving Forces Behind Monkeypox Virus Evolution and Sheds Light on the Role of the ATC Trinucleotide Motif.'

Computational means to understand and elucidate host–pathogen interaction and outcome

Long Noncoding RNAs (LncRNAs) play a significant role in regulating the CoViD-19 disease severity

सीएसआईआर-आईजीआईबी के वरिष्ठ वैज्ञानिक डॉक्टर जीतेन्द्र नारायण ने बातचीत के दौरान इस बारे में कई अहम बातें बताईं. मंकीपॉक्स फैलने के कारण से लेकर इसके लक्षण इत्यादि के बारे में यहां जानें...

Wastewater genome sequencing could be a sensitive method of identifying monkeypox infections in any given area.

Using lengthy simple sequence repeats(SSRs), we investigated the genomic evolution of extremophilic bacteria. In the genomes of extremophilic bacteria, the frequency of occurrence, relative abundance (RA), and relative density (RD) of long SSRs were investigated.