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Hi there 👋

  • I am currently a postdoctoral scientist working within Chris Quince’s group at Earlham Institute, where my focus is on the development of scalable methods and software for assembling HiFi metagenomics data.
  • My interests lie in the development of scalable tools for interpreting metagenomics data. These tools exploit lightweight methods, such as minimizers, and high-resolution data structures, such as assembly graphs.
  • I work on both short-read data, having developed Simka for quickly comparing hundreds of metagenomics samples, and long-read technology, having developed metaMDBG for rapidly recovering complete circularized microbial genomes from metagenomes.

Gaëtan BENOIT's Projects

bloocoo icon bloocoo

Bloocoo is a k-mer spectrum-based read error corrector, designed to correct large datasets with a very low memory footprint.

leon icon leon

Leon - FASTA and FASTQ read compressor

simka icon simka

Simka and SimkaMin are comparative metagenomics methods dedicated to NGS datasets.

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