Fatemeh Ashari Ghomi

ORCID: 0000-0001-9786-4558
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About
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Research Areas
  • Scientific Computing and Data Management
  • Genetics, Bioinformatics, and Biomedical Research
  • Research Data Management Practices
  • Genomics and Phylogenetic Studies
  • Bacterial Genetics and Biotechnology
  • Enterobacteriaceae and Cronobacter Research
  • CRISPR and Genetic Engineering
  • Advanced Proteomics Techniques and Applications
  • Plant-Microbe Interactions and Immunity
  • Bacteriophages and microbial interactions
  • Probiotics and Fermented Foods
  • RNA and protein synthesis mechanisms
  • Software Engineering Research
  • Glycosylation and Glycoproteins Research
  • Legume Nitrogen Fixing Symbiosis
  • Plant Pathogenic Bacteria Studies
  • Insect symbiosis and bacterial influences
  • Machine Learning in Bioinformatics

University of Canterbury
2015-2024

Technical University of Denmark
2016-2022

Novo Nordisk Foundation
2020

Computational biology provides software tools for testing and making inferences about biological data. In the face of increasing volumes data, heuristic methods that trade speed accuracy may be employed. We have studied these trade-offs using results a large number independent benchmarks, evaluated whether external factors, including speed, author reputation, journal impact, recency developer efforts, are indicative accurate software.We find citations age unreliable predictors accuracy. This...

10.1186/s13059-022-02625-x article EN cc-by Genome biology 2022-02-16

Pseudomonas syringae pv. actinidiae (Psa), the causal agent of kiwifruit canker, is one most devastating plant diseases recent times. We have generated two mini-Tn5-based random insertion libraries Psa ICMP 18884. The first, a 'phenotype interest' (POI) library, consists 10,368 independent mutants gridded into 96-well plates. By replica plating onto selective media, POI library was successfully screened for auxotrophic and motility mutants. Lipopolysaccharide (LPS) biosynthesis with...

10.1371/journal.pone.0172790 article EN cc-by PLoS ONE 2017-03-01

Abstract Background Computational biology provides widely used and powerful software tools for testing making inferences about biological data. In the face of rapidly increasing volumes data, heuristic methods that trade speed accuracy may be employed. We are have studied these trade-offs using results a large number independent benchmarks, evaluated whether external factors indicative accurate software. Method extracted ranks from benchmarks different bioinformatic tools, speed, author...

10.1101/092205 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2016-12-07

Abstract UDP-dependent glycosyltransferases (UGTs) are enzymes that glycosylate a wide variety of natural products, thereby modifying their physico-chemical properties, i.e. solubility, stability, reactivity, and function. To successfully leverage the UGTs in biocatalytic processes, we need to be able screen characterise them vitro , which requires efficient heterologous expression amenable hosts, preferably Escherichia coli . However, many insoluble when expressed standard attempted...

10.1101/2020.02.28.962894 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-02-28

Abstract The Enterobacteriaceae are a scientifically and medically important clade of bacteria, containing the gut commensal model organism Escherichia coli , as well several major human pathogens including multiple serovars Salmonella enterica Klebsiella pneumoniae . Essential gene sets have been determined for members Enterobacteriaceae, with E. Keio single-gene deletion library often regarded gold standard essentiality studies. However, it remains unclear how varies between related...

10.1101/2022.10.20.512852 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-10-20
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