Publications by authors named "Elies Ramon"

Article Synopsis
  • - The study investigates the reliability of two sequencing methods, 16S rRNA gene and shotgun metagenomic sequencing, in profiling gut microbiota associated with colorectal cancer (CRC) using 156 stool samples from different patient groups.
  • - Results indicate that 16S captures only part of the microbiota detected by shotgun, with notable differences in abundance, diversity, and taxonomic resolution due to varying reference databases.
  • - Both techniques can reveal microbial signatures linked to CRC, but no clear superiority of one method over the other was established, suggesting they provide complementary insights into gut microbiota analysis.
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Colorectal cancer (CRC), the third most common cancer globally, has shown links to disturbed gut microbiota. While significant efforts have been made to establish a microbial signature indicative of CRC using shotgun metagenomic sequencing, the challenge lies in validating this signature with 16S ribosomal RNA (16S) gene sequencing. The primary obstacle is reconciling the differing outputs of these two methodologies, which often lead to divergent statistical models and conclusions.

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The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation. In recent years, supervised learning (i.e.

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Background: Antiretroviral drugs are a very effective therapy against HIV infection. However, the high mutation rate of HIV permits the emergence of variants that can be resistant to the drug treatment. Predicting drug resistance to previously unobserved variants is therefore very important for an optimum medical treatment.

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