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).

• Mapping proteins to disease terminologies: from UniProt to MeSH.

  PMID 18460185 · PMC2367626 · BMC bioinformatics · 2008 · 8 claims · 7 setups

  Full-text index only

  Developed a three-step procedure (disease name extraction, exact matching, partial/similarity-based matching) to map UniProtKB/Swiss-Prot disease names to MeSH terms

  randomly swiss-prot uniprotkb mesh manual exact partial

• SNAP: predict effect of non-synonymous polymorphisms on function.

  PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups

  Full-text index only

  SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function

  combined escherichia bacteriophage hiv-1 neural benchmark comparative

• Improved mutation tagging with gene identifiers applied to membrane protein stability prediction.

  PMID 19758467 · PMC2745585 · BMC bioinformatics · 2009 · 8 claims · 4 setups

  Full-text index only

  MutationTagger achieves 87% F-measure for the mutation retrieval task on a benchmark dataset

  pubmed uniprot five mutation gene sequence

• MEDUSA: A Pipeline for Sensitive Taxonomic Classification and Flexible Functional Annotation of Metagenomic Shotgun Sequences.

  PMID 35330728 · PMC8940201 · Frontiers in genetics · 2022 · 6 claims · 6 setups

  Has reproduction · 50

  MEDUSA is an automated, Conda-installable and Snakemake-managed pipeline performing preprocessing, assembly, alignment, taxonomic classification, and functional annotation on shotgun data.

  bovine simulated cami trimming decontamination assembly

• Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines.

  PMID 18005451 · PMC2216041 · BMC bioinformatics · 2007 · 8 claims · 5 setups

  Full-text index only

  Parepro, an SVM-based method integrating three attribute sets (RD, MI, IE) derived from evolutionary and residue-property information, predicts whether an nsSNP is deleterious or neutral.

  sequences target svm benchmark homology