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 · 67
A consensus approach to vertebrate de novo transcriptome assembly from RNA-seq data: assembly of the duck (Anas platyrhynchos) transcriptome.
PMID 25009556 · PMC4070175 · Frontiers in genetics · 2014 · 8 claims · 8 setups
Multiple k-mer (MK) assemblies are more complete than single k-mer (SK) assemblies, showing higher reads-mapped-back-to-transcripts (RMBT) and higher CEGMA complete-gene percentages for all three tools.
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Full-text index only
Functional analysis of novel SNPs and mutations in human and mouse genomes.
PMID 19091009 · PMC2638150 · BMC bioinformatics · 2008 · 8 claims · 7 setups
FANS streamlines functional analysis of novel SNPs and mutations into a simplified, few-click, four-step procedure.
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Has reproduction · 83
MetaGT: A pipeline for de novo assembly of metatranscriptomes with the aid of metagenomic data.
PMID 36386613 · PMC9651917 · Frontiers in microbiology · 2022 · 7 claims · 4 setups
MetaGT is a pipeline that combines metatranscriptomic and metagenomic data from the same sample to assemble complete transcript sequences
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Full-text index only
Benchmarking methods for genome annotation using nanopore direct RNA in a non-model crop plant.
PMID 41800382 · PMC12967217 · Bioinformatics advances · 2026 · 6 claims · 8 setups
Annotation tools show substantial variation in isoform detection, structural completeness, splicing classification, and handling of 5' read truncation when applied to plant dRNA-seq data.
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Has reproduction · 90
Optimal Dual RNA-Seq Mapping for Accurate Pathogen Detection in Complex Eukaryotic Hosts.
PMID 39959292 · PMC11825298 · Bio-protocol · 2025 · 7 claims · 6 setups
Mapping adapter-trimmed reads first to the pathogen genome recovers more pathogen reads than the traditional host-first mapping approach.