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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Systematic annotation of orphan RNAs reveals blood-accessible molecular barcodes of cancer identity and cancer-emergent oncogenic drivers.
PMID 41579861 · PMC12923976 · Cell reports. Medicine · 2026 · 8 claims · 8 setups
oncRNA binary presence-absence patterns constitute digital molecular barcodes that capture cancer type and subtype identity
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FragmentFinder-a user-friendly, Windows-based tool for identifying and characterizing short RNAs excised from any noncoding RNA.
PMID 41704564 · PMC12907730 · NAR genomics and bioinformatics · 2026 · 6 claims · 1 setups
FragmentFinder (FF) is a user-friendly, Windows-executable tool that identifies and characterizes short RNAs excised from any noncoding RNA precursor, requiring no computational background
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MIRit: an integrative R framework for the identification of impaired miRNA-mRNA regulatory networks in complex diseases.
PMID 41800385 · PMC12961272 · Bioinformatics advances · 2026 · 8 claims · 5 setups
MIRit is a comprehensive, open-source R/Bioconductor framework for integrative miRNA–mRNA analysis that supports both paired and unpaired datasets using statistically appropriate methods.
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Spatial transcriptomics maps host-gut microbiome biogeography at high resolution.
PMID 41792309 · PMC13171632 · Nature microbiology · 2026 · 7 claims · 6 setups
Enzymatic in situ polyadenylation increases bacterial RNA recovery in oligo(dT)-based spatial transcriptomics arrays by up to ~100-fold while preserving host gene capture
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SexTumorDB: a comprehensive resource of sex-dependent tumor landscape at single-cell resolution.
PMID 41741497 · PMC13046873 · Scientific data · 2026 · 7 claims · 8 setups
SexTumorDB is an integrated resource of RNA-seq profiles of non-reproductive tumors at single-cell resolution, curated, processed, and standardized from published datasets
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Exploring phenotype-related single-cells through attention-enhanced representation learning.
PMID 41566378 · PMC12906058 · Genome medicine · 2026 · 6 claims · 5 setups
scPhase, an attention-based multiple instance learning (AMIL) framework with Mixture-of-Experts aggregation, predicts sample-level clinical phenotypes from raw scRNA-seq data and generalizes across patient cohorts