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 · 89
DFAST and DAGA: web-based integrated genome annotation tools and resources.
PMID 27867804 · PMC5107635 · Bioscience of microbiota, food and health · 2016 · 8 claims · 7 setups
DFAST is a web-based genome annotation pipeline with integrated quality assessment (CheckM) and taxonomic assessment (ANI) that produces DDBJ submission-ready files
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Has reproduction
Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.
PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 8 claims · 8 setups
Tree-based (XGBoost, LightGBM) and deep-learning (TabNet) tabular ML classifiers achieve state-of-the-art somatic vs germline classification in tumor-only WES samples, outperforming PureCN.
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Has reproduction · 85
An extensive evaluation of read trimming effects on Illumina NGS data analysis.
PMID 24376861 · PMC3871669 · PloS one · 2013 · 8 claims · 8 setups
Read trimming increases the quality and reliability of downstream NGS analyses (RNA-Seq mapping, SNP identification, genome assembly) while reducing execution time and computational resources.
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Has reproduction · 45
Identifying and classifying trait linked polymorphisms in non-reference species by walking coloured de bruijn graphs.
PMID 23536903 · PMC3607606 · PloS one · 2013 · 8 claims · 9 setups
Bubbleparse detects sequence variants directly from NGS reads without a reference genome, using the coloured de Bruijn graph implementation of Cortex plus a new depth-first bubble-finding module.
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Full-text index only
TEPEAK: A novel method for identifying and characterizing polymorphic transposable elements in non-model species populations.
PMID 41494038 · PMC12788660 · PLoS computational biology · 2026 · 8 claims · 6 setups
TEPEAK identifies and characterizes polymorphic TEs in populations without any prior TE sequence or loci information, using only a chromosome-level reference assembly.