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).
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Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.
PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups
The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues
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Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information.
PMID 18588693 · PMC2446391 · BMC bioinformatics · 2008 · 8 claims · 5 setups
A decision tree built on 10 selected sequence-derived features classifies SAPs as Disease or Polymorphism with 82.6% accuracy and 0.607 MCC in cross-validation.
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Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes
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Machine-learning approaches for classifying haplogroup from Y chromosome STR data.
PMID 18551166 · PMC2396484 · PLoS computational biology · 2008 · 8 claims · 5 setups
Y-STR allelic variability is partitioned more by differences among haplogroups than by differences among populations, suggesting Y-STRs carry haplogroup information
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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information
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Global distribution of rubella virus genotypes.
PMID 14720390 · PMC3034328 · Emerging infectious diseases · 2003 · 8 claims · 6 setups
Phylogenetic analysis of 103 E1 gene sequences from 17 countries confirms at least two rubella virus genotypes, RGI and RGII
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Speeding disease gene discovery by sequence based candidate prioritization.
PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups
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.
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HapMap-based study of the 17q21 ERBB2 amplicon in susceptibility to breast cancer.
PMID 17117180 · PMC2360759 · British journal of cancer · 2006 · 6 claims · 5 setups
Common genetic variation (tSNPs and haplotypes) across the 400-kb 17q21 ERBB2 amplicon is not associated with breast cancer risk in British women.
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High frequency of mitochondrial genome instability in human endometrial carcinomas.
PMID 12915881 · PMC2376924 · British journal of cancer · 2003 · 7 claims · 3 setups
56% (28 out of 50) of endometrial carcinoma cases carry one or more somatic mtDNA changes (deletion, point mutation, or mtMSI) compared with matched normal tissue
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Has reproduction · 68
Mining the equine gut metagenome: poorly-characterized taxa associated with cardiovascular fitness in endurance athletes.
PMID 36192523 · PMC9529974 · Communications biology · 2022 · 8 claims · 8 setups
Built an integrated horse gut microbiome gene catalog (~25 million unique genes) and 372 metagenome-assembled genomes (MAGs) spanning 4179 genera and 95 phyla
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Using ESTs to improve the accuracy of de novo gene prediction.
PMID 16817966 · PMC1534067 · BMC bioinformatics · 2006 · 8 claims · 8 setups
TWINSCAN_EST combines EST alignments with TWINSCAN via a trainable 'ESTseq' representation and improves exact gene structure prediction accuracy on the whole C. elegans genome
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Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach.
PMID 18834544 · PMC2575220 · BMC bioinformatics · 2008 · 8 claims · 8 setups
128 discriminating 4-mer motifs combined with an SVM (RBF kernel, LIBSVM) can distinguish promoter from non-promoter DNA sequences
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Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.
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An SVM-based system for predicting protein subnuclear localizations.
PMID 16336650 · PMC1325059 · BMC bioinformatics · 2005 · 7 claims · 3 setups
New kernels defined on k-peptide vectors mapped by BLOSUM62-based high-scored pair matrices (D1, D2, D3) improve SVM discrimination of protein subnuclear localization compared to conventional k-peptide encodings.
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Does distance matter? Variations in alternative 3' splicing regulation.
PMID 17704130 · PMC2018619 · Nucleic acids research · 2007 · 8 claims · 7 setups
Alternative 3' splice sites can be distinguished from constitutive splice sites by a combination of sequence/conservation properties that vary depending on the distance between the splice sites.