Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Prediction of Antimicrobial Resistance in Gram-Negative Bacteria From Whole-Genome Sequencing Data.

  PMID 32528441 · PMC7262952 · Frontiers in microbiology · 2020 · 8 claims · 4 setups

  Has reproduction · 100

  WGS data enables prediction of antimicrobial resistance in Gram-negative bacteria using machine learning

  baumannii gram-negative in-house cchmc whole-genome xgboost antimicrobial

• Natural clines and human management impact the genetic structure of Algerian honey bee populations.

  PMID 38114899 · PMC10729559 · Genetics, selection, evolution : GSE · 2023 · 7 claims · 8 setups

  Has reproduction · 55

  Algerian honey bees show no significant admixture from European reference honey bee populations

  haploid combined ld-pruned algerian whole-genome variant principal

• Unlocking the microbial studies through computational approaches: how far have we reached?

  PMID 36920617 · PMC10016191 · Environmental science and pollution research international · 2023 · 8 claims · 8 setups

  Has reproduction

  Metagenomics enables culture-independent study of microbial communities directly from their natural environments, bypassing the need for clonal isolation.

  clinical bacteriophage vaginal hbv ngs random whole-genome

• Population differentiation and epidemic tracking of Bursaphelenchus xylophilus in China based on chromosome-level assembly and whole-genome sequencing data.

  PMID 34839581 · PMC9300093 · Pest management science · 2022 · 6 claims · 8 setups

  Has reproduction · 44

  Generated the first chromosome-level genome assembly (AH1) of B. xylophilus using PacBio, Illumina, BioNano, and Hi-C data

  xylophilus snp smrt short-read bionano

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

  Full-text index only

  Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.

  ensembl training same hgmd comparative machine tenfold