Anayancy Ramos

ORCID: 0000-0003-2275-0956
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About
Contact & Profiles
Research Areas
  • Biomedical Text Mining and Ontologies
  • Clostridium difficile and Clostridium perfringens research
  • Oral microbiology and periodontitis research
  • Bacterial biofilms and quorum sensing
  • Bacteriophages and microbial interactions
  • Bacterial Genetics and Biotechnology
  • Gut microbiota and health

Cystic Fibrosis Foundation
2022-2023

Georgia Institute of Technology
2022

Eastern Connecticut State University
2019

Abstract The ability to switch between different lifestyles allows bacterial pathogens thrive in diverse ecological niches 1,2 . However, a molecular understanding of their lifestyle changes within the human host is lacking. Here, by directly examining gene expression human-derived samples, we discover that orchestrates transition chronic and acute infection opportunistic pathogen Pseudomonas aeruginosa level this gene, here named sicX , highest P. genes expressed wound cystic fibrosis...

10.1038/s41586-023-06111-7 article EN cc-by Nature 2023-05-24

Many pathogenic microbial ecosystems are polymicrobial, and community function can be shaped by interbacterial interactions. Little is known, however, regarding the genetic determinants required for fitness in heterotypic environments.

10.1128/iai.00170-22 article EN Infection and Immunity 2022-05-16

Abstract PubMed catalogs over 33,000 articles published with the keywords “cancer” and “gene” in past year alone. The large volume of cancer genomic publications necessitates development text-mining tools to help researchers navigate summarize efficiently. Here we present a Cancer Publication Portal (CPP) that allows researcher search literature based on gene interest. CPP integrates data from several sources, including PubTator, which uses robust identify associations between biological...

10.1158/1538-7445.am2019-5110 article EN Cancer Research 2019-07-01

PubMed catalogs over 33,000 articles published with the keywords "cancer" and "gene" in past year alone. The large volume of cancer genomic publications necessitates development text-mining tools to help researchers navigate summarize efficiently. Here we present a Cancer Publication Portal (CPP) that allows researcher search literature based on gene interest. CPP integrates data from several sources, including PubTator, which uses robust identify associations between biological concepts;...

10.1158/1538-7445.sabcs18-5110 article EN Bioinformatics, Convergence Science, and Systems Biology 2019-07-01
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