BF Francis Ouellette
@bffo.bsky.social
Bioinformatics 🧬🖥️🧪
#PLOS Comp Biol Education Sect. Editor;
#DATABASE OUP Associate Editor;
#OpenScience #OpenAccess #OpenData;
friend of @jxtxfoundation.bsky.social,
@abinstitute.bsky.social
- I am 🇨🇦
#PLOS Comp Biol Education Sect. Editor;
#DATABASE OUP Associate Editor;
#OpenScience #OpenAccess #OpenData;
friend of @jxtxfoundation.bsky.social,
@abinstitute.bsky.social
- I am 🇨🇦
The CDC is the only .gov that is not run from within the Washington DC beltway … Atlanta is not next door to Bethesda!
February 18, 2026 at 11:15 PM
The CDC is the only .gov that is not run from within the Washington DC beltway … Atlanta is not next door to Bethesda!
"Francis Ouellette remembers his first encounter with ExPASy in 1993, when Amos visited his boss Mark Boguski at NCBI: “‘Bonjour, Francis, as-tu vu mon site web de Swiss-Prot?’ On my Netscape browser he typed: EXPASY.CH. It was the first bioinformatics website I ever visited on a WWW browser!”"
February 13, 2026 at 6:03 PM
"Francis Ouellette remembers his first encounter with ExPASy in 1993, when Amos visited his boss Mark Boguski at NCBI: “‘Bonjour, Francis, as-tu vu mon site web de Swiss-Prot?’ On my Netscape browser he typed: EXPASY.CH. It was the first bioinformatics website I ever visited on a WWW browser!”"
Reposted by BF Francis Ouellette
Learn more about #CGR at www.ncbi.nlm.nih.gov/comparative-...
CGR is a terrific project and huge contribution to our research data and tooling ecosystem!
CGR is a terrific project and huge contribution to our research data and tooling ecosystem!
About CGR
About the NIH Comparative Genomics Resource (CGR)
www.ncbi.nlm.nih.gov
February 12, 2026 at 5:01 PM
Learn more about #CGR at www.ncbi.nlm.nih.gov/comparative-...
CGR is a terrific project and huge contribution to our research data and tooling ecosystem!
CGR is a terrific project and huge contribution to our research data and tooling ecosystem!
- Literature Data
- Clinical data, small & large human genomic variants, and genotype & phenotype data.
- Genomic and expressed nucleotide sequence data and sequence-based gene expression data.
- Chemical Data
- Protein & Structure Data
- Pathogen Genomic Epidemiology Data
- Clinical data, small & large human genomic variants, and genotype & phenotype data.
- Genomic and expressed nucleotide sequence data and sequence-based gene expression data.
- Chemical Data
- Protein & Structure Data
- Pathogen Genomic Epidemiology Data
February 10, 2026 at 6:46 PM
- Literature Data
- Clinical data, small & large human genomic variants, and genotype & phenotype data.
- Genomic and expressed nucleotide sequence data and sequence-based gene expression data.
- Chemical Data
- Protein & Structure Data
- Pathogen Genomic Epidemiology Data
- Clinical data, small & large human genomic variants, and genotype & phenotype data.
- Genomic and expressed nucleotide sequence data and sequence-based gene expression data.
- Chemical Data
- Protein & Structure Data
- Pathogen Genomic Epidemiology Data