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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Has reproduction · 76
Estimation of peptide elongation times from ribosome profiling spectra.
PMID 33885812 · PMC8136808 · Nucleic acids research · 2021 · 8 claims · 3 setups
A maximum-likelihood model that separates context-dependent bias factors from elongation-time factors enables bias-corrected estimation of peptide elongation times at single-codon resolution from Ribo-Seq spectra.
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Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.
PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups
MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.
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Comparative genomics and understanding of microbial biology.
PMID 10998382 · PMC2627966 · Emerging infectious diseases · 2000 · 8 claims · 7 setups
GC content varies widely among prokaryotic genomes (29% in B. burgdorferi to 68% in M. tuberculosis) and shapes codon usage and amino acid composition.
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Comparative genomic analysis of the gut bacterium Bifidobacterium longum reveals loci susceptible to deletion during pure culture growth.
PMID 18505588 · PMC2430713 · BMC genomics · 2008 · 8 claims · 8 setups
Comparative genomics of B. longum DJO10A (minimally cultured) and NCC2705 (culture collection strain) reveals 17 unique DNA regions in DJO10A and 6 in NCC2705 despite otherwise high genome collinearity and identity
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Has reproduction · 50
RNA modifications detection by comparative Nanopore direct RNA sequencing.
PMID 34893601 · PMC8664944 · Nature communications · 2021 · 7 claims · 5 setups
Nanocompore is a model-free comparative method that uses a 2-component Gaussian mixture model (GMM) and univariate statistical tests on signal intensity/dwell time to detect RNA modifications in Nanopore direct RNA sequencing data without needing a training set