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).

• 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

• Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression.

  PMID 33722289 · PMC7962346 · Genome biology · 2021 · 7 claims · 8 setups

  Has reproduction · 66

  A three-base-pair (HDR) or single-base (PE2) substitution in the Tspan2 CArG box causes cell-specific loss of Tspan2 mRNA in aorta and bladder, but not heart or brain

  tissues zygotes aorta spleen qrt-pcr allele-specific restriction

• Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.

  PMID 19758473 · PMC2745591 · BMC bioinformatics · 2009 · 8 claims · 8 setups

  Full-text index only

  None of 39 tested structural properties can be used as a sole classification criterion to separate neutral SNPs from disease mutations.

  ensembl swissprot same structural foldx side

• Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.

  PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups

  Full-text index only

  MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.

  engineered p53 computational yeast-based regional homology

• Patterns of somatic mutation in human cancer genomes.

  PMID 17344846 · PMC2712719 · Nature · 2007 · 8 claims · 5 setups

  Full-text index only

  Systematic resequencing of a large gene family (protein kinases) across diverse cancers reveals a larger repertoire of cancer genes than previously anticipated

  cancers additional computational combined targeted follow-up statistical

• Cataloging coding sequence variations in human genome databases.

  PMID 18974781 · PMC2570488 · PloS one · 2008 · 8 claims · 7 setups

  Full-text index only

  A significant proportion of CVs overlap between HGMD and dbSNP (4.36% of HGMD CVs registered in dbSNP; 8.11% of dbSNP CVs registered in HGMD), warranting caution when interpreting phenotypic relevance of concurrent CVs.

  coding hapmap concurrent nssnps database hapmap amino

• In silico analysis of missense substitutions using sequence-alignment based methods.

  PMID 18951440 · PMC3431198 · Human mutation · 2008 · 8 claims · 7 setups

  Full-text index only

  Carefully validated PMSA-based computational algorithms can achieve predictive values of ~75-95% for classifying missense substitutions as pathogenic or neutral.

  clinically sequence curated deep blosum62 sift align-gvgd

• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.

  PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 8 claims · 7 setups

  Has reproduction · 84

  DeepProg is a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data

  cancer breast hepatocarcinoma tcga multi-omics gene rna-seq