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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Genome structure in the vole bacillus, Mycobacterium microti, a member of the Mycobacterium tuberculosis complex with a low virulence for humans.
PMID 15133113 · PMC2964484 · Microbiology (Reading, England) · 2004 · 8 claims · 3 setups
Compared to M. tuberculosis H37Rv, 13 distinct deleted regions were identified across 12 M. microti strains, including RD1–RD10 also missing in M. bovis BCG.
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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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Genome analysis of multi- and extensively-drug-resistant tuberculosis from KwaZulu-Natal, South Africa.
PMID 19890396 · PMC2767505 · PloS one · 2009 · 8 claims · 4 setups
Rifampicin resistance (rpoB) and pyrazinamide resistance (pncA) mutations occur at different nucleotide positions in the MDR and XDR strains, showing they were acquired independently and that the XDR strain did not evolve directly from this MDR strain.
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Genomewide pattern of synonymous nucleotide substitution in two complete genomes of Mycobacterium tuberculosis.
PMID 12453367 · PMC2738538 · Emerging infectious diseases · 2002 · 8 claims · 6 setups
Genomewide comparison of two complete M. tuberculosis genomes reveals substantially more nucleotide diversity than prior studies based on few loci suggested
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High accuracy mass spectrometry analysis as a tool to verify and improve gene annotation using Mycobacterium tuberculosis as an example.
PMID 18597682 · PMC2483986 · BMC genomics · 2008 · 8 claims · 5 setups
High-accuracy MS proteomics (LTQ-Orbitrap) can be used to verify and improve gene annotation by identifying peptides specific to one of two competing annotation datasets.