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 · 100
Intra-Host Co-Existing Strains of SARS-CoV-2 Reference Genome Uncovered by Exhaustive Computational Search.
PMID 37243151 · PMC10224212 · Viruses · 2023 · 8 claims · 7 setups
An exhaustive-search workflow can recover intra-host co-existing SARS-CoV-2 strains from the reference-genome read set (SRR11092062) that de Bruijn-graph assemblers discard.
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Has reproduction · 84
The SARS-CoV-2 subgenome landscape and its novel regulatory features.
PMID 33713597 · PMC7927579 · Molecular cell · 2021 · 8 claims · 6 setups
Template switching in SARS-CoV-2 can occur bidirectionally, generating diverse subgenomes through successive template-switching events
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Has reproduction · 75
Identification of Novel Therapeutic Candidates Against SARS-CoV-2 Infections: An Application of RNA Sequencing Toward mRNA Based Nanotherapeutics.
PMID 35983322 · PMC9378778 · Frontiers in microbiology · 2022 · 6 claims · 7 setups
RPL29 (60S ribosomal protein L29) is highly/consistently expressed across all COVID-19 infected groups regardless of severity, suggesting it as a novel host therapeutic target for mRNA-based nanomedicines.
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Has reproduction · 100
poreCov-An Easy to Use, Fast, and Robust Workflow for SARS-CoV-2 Genome Reconstruction via Nanopore Sequencing.
PMID 34394197 · PMC8355734 · Frontiers in genetics · 2021 · 8 claims · 8 setups
poreCov is an easy-to-use, fast, and robust Nextflow-based workflow for reference-based SARS-CoV-2 genome reconstruction and lineage determination from nanopore sequencing data
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Has reproduction · 50
Performance of methods for SARS-CoV-2 variant detection and abundance estimation within mixed population samples.
PMID 36721781 · PMC9884472 · PeerJ · 2023 · 8 claims · 4 setups
Kallisto was the most accurate VCE on simulated data, having the lowest RRMSE, followed by Freyja
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Has reproduction · 44
Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.
PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups
DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection