Publications by authors named "J S Edirisinghe"
Predicting elemental cycles and maintaining water quality under increasing anthropogenic influence requires knowledge of the spatial drivers of river microbiomes. However, understanding of the core microbial processes governing river biogeochemistry is hindered by a lack of genome-resolved functional insights and sampling across multiple rivers. Here we used a community science effort to accelerate the sampling, sequencing and genome-resolved analyses of river microbiomes to create the Genome Resolved Open Watersheds database (GROWdb).
View Article and Find Full Text PDFPredicting elemental cycles and maintaining water quality under increasing anthropogenic influence requires understanding the spatial drivers of river microbiomes. However, the unifying microbial processes governing river biogeochemistry are hindered by a lack of genome-resolved functional insights and sampling across multiple rivers. Here we employed a community science effort to accelerate the sampling, sequencing, and genome-resolved analyses of river microbiomes to create the Genome Resolved Open Watersheds database (GROWdb).
View Article and Find Full Text PDFUnlabelled: Microbial genome annotation is the process of identifying structural and functional elements in DNA sequences and subsequently attaching biological information to those elements. DRAM is a tool developed to annotate bacterial, archaeal, and viral genomes derived from pure cultures or metagenomes. DRAM goes beyond traditional annotation tools by distilling multiple gene annotations to genome level summaries of functional potential.
View Article and Find Full Text PDFArticle Synopsis
- The human microbiome significantly impacts how effective and safe certain drugs are for individuals, suggesting that personalized medicine should consider microbial effects.
- The study introduces AGORA2, an updated computational resource that includes detailed data on 7,302 gut microorganism strains and their interactions with 98 different drugs, enhancing previous models.
- AGORA2 shows high accuracy in predicting how gut microbes alter drugs, and it can tailor drug conversion predictions based on microbiome data from patients with colorectal cancer, highlighting the importance of individual factors like age and sex.
Background: The higher education was significantly influenced by the COVID pandemic within many developing countries, including Sri Lanka, necessitating to adopt more E-Learning opportunities. Therefore, this study was conducted to characterize the perceptions of Sri Lankan undergraduates to accept E-Learning in higher education, during the COVID crisis.
Method: A total of 657 randomly selected undergraduates of three state universities in Sri Lanka, were recruited as the study population.