Publications by authors named "Swayamprabha Sahoo"
Background: There are several antibiotic resistance genes (ARG) for the bacteria that cause urinary tract infections (UTI), and it is therefore important to identify these ARG. Artificial Intelligence (AI) has been used previously in the field of gene expression data, but never adopted for the detection and classification of bacterial ARG. We hypothesize, if the data is correctly conferred, right features are selected, and Deep Learning (DL) classification models are optimized, then (i) non-linear DL models would perform better than Machine Learning (ML) models, (ii) leads to higher accuracy, (iii) can identify the hub genes, and, (iv) can identify gene pathways accurately.
View Article and Find Full Text PDFBLAST, a basic bioinformatics tool for searching local sequence similarity, has been one of the most widely used bioinformatics programs since its introduction in 1990. Users generally use the web-based NCBI-BLAST program for BLAST analysis. However, users with large sequence data are often faced with a problem of upload size limitation while using the web-based BLAST program.
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- The study explores the COVIDSeq protocol for efficient diagnosis and genetic analysis of SARS-CoV-2, highlighting its effectiveness in handling high-throughput testing during the COVID-19 pandemic.
- Results show that COVIDSeq has a high concordance with traditional RT-PCR tests and even identified cases that were missed by RT-PCR, emphasizing its viability as a confirmatory testing method.
- The research also contributes to the understanding of the genetic diversity of SARS-CoV-2, reporting new lineages and a high number of unique genetic variants for the first time in India.