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).
-
Full-text index only
An integrated database-pipeline system for studying single nucleotide polymorphisms and diseases.
PMID 19091018 · PMC2638159 · BMC bioinformatics · 2008 · 6 claims · 5 setups
Existing SNP/disease databases are fragmented; no combined resource widely supports gene-, SNP-, and disease-related information together
-
Full-text index only
Highlights of international conference of immunogenomics and immunomics, October 8-12, 2006 Budapest, Hungary.
PMID 17470366 · PMC7130317 · Cellular immunology · 2006 · 8 claims · 8 setups
An 'immunological constant of rejection' involving interferon-stimulated genes (ISGs) and innate immune effector functions (IEF) underlies diverse immune-mediated tissue destruction processes (allograft rejection, cancer rejection, autoimmunity, infection)
-
Has reproduction · 99
Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing.
PMID 34103501 · PMC8187371 · Nature communications · 2021 · 8 claims · 6 setups
Existing Nanopore methylation detection tools present a tradeoff between false positives and false negatives and show high dispersion relative to expected methylation frequency values.
-
Has reproduction · 44
Detecting DNA modifications from SMRT sequencing data by modeling sequence context dependence of polymerase kinetic.
PMID 23516341 · PMC3597545 · PLoS computational biology · 2013 · 8 claims · 7 setups
Local sequence context strongly determines position-specific polymerase kinetic rate: roughly 80% of IPD variation is explained by a 10 bp context (7 bases upstream, 2 bases downstream of the incorporation site), saturating at 7 bases upstream.
-
Full-text index only
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.