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 missed cleavage sites in tryptic peptides aids protein identification in proteomics.
PMID 17203985 · PMC2664920 · Journal of proteome research · 2007 · 8 claims · 4 setups
An information-theoretic log-likelihood scoring method can predict experimentally observed missed cleavage sites from amino acid sequence alone with up to 90% accuracy.
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Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.
PMID 18769673 · PMC2518838 · PloS one · 2008 · 8 claims · 6 setups
The protein sequence-structure map behaves as a noisy digital communication channel whose capacity C exceeds the transmission rate R for native structures, satisfying Shannon's noisy channel theorem
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'Genome design' model and multicellular complexity: golden middle.
PMID 17062620 · PMC1635334 · Nucleic acids research · 2006 · 8 claims · 8 setups
Intermediately expressed human genes are the longest genes genome-wide, in both coding and intronic sequence, longer than housekeeping or tissue-specific genes.
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Genome sequences and great expectations.
PMID 11178275 · PMC150431 · Genome biology · 2001 · 8 claims · 3 setups
Function is known or can be predicted for an average of 62% of proteins across 31 analyzed genomes.
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Identification of "pathologs" (disease-related genes) from the RIKEN mouse cDNA dataset using human curation plus FACTS, a new biological information extraction system.
PMID 15115540 · PMC420239 · BMC genomics · 2004 · 6 claims · 3 setups
Bioinformatic sequence comparison of 60,770 RIKEN FANTOM2 mouse cDNA clones identified 2,578 sequences with 70-85% identity to known human disease genes/proteins
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A model-based approach to selection of tag SNPs.
PMID 16776821 · PMC1525207 · BMC bioinformatics · 2006 · 7 claims · 5 setups
The Li and Stephens hidden Markov model outperforms other tested models (simple Markov, two-state HMM, HMM-4D, greedy GR-1/GR-2) in description code-length, tag set information content, and prediction of tagged SNPs.
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CanPredict: a computational tool for predicting cancer-associated missense mutations.
PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups
CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated