Publications by authors named "Ananya Kapur"
Article Synopsis
- Reproducibility is crucial in science as it boosts confidence in findings and enables comparison of data, yet evaluating it can be challenging, especially with RNA sequencing (RNA-seq) where multiple steps can introduce variance.
- This study specifically examines the reproducibility of gene expression data from bacteria in cystic fibrosis models, utilizing samples from three labs and different sequencing pipelines to draw comparisons.
- The results indicate high reproducibility of gene expression across labs, despite some variance introduced by different sequencing methods, with both pipelines detecting over 80% of the same differentially expressed genes, confirming the validity of RNA-seq data comparisons.
Laboratory models are critical to basic and translational microbiology research. Models serve multiple purposes, from providing tractable systems to study cell biology to allowing the investigation of inaccessible clinical and environmental ecosystems. Although there is a recognized need for improved model systems, there is a gap in rational approaches to accomplish this goal.
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