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).

• FLASH-MM: fast and scalable single-cell differential expression analysis using linear mixed-effects models.

  PMID 41644528 · PMC12982622 · Nature communications · 2026 · 8 claims · 6 setups

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  FLASH-MM produces LMM parameter estimates identical to lmer (lme4) up to the sixth decimal place while being 50- to 140-fold faster as sample size increases from 20,000 to 120,000 cells

  simulated same healthy female-biased simulated comparative single-cell

• Frag'n'Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments.

  PMID 41486154 · PMC12828970 · BMC bioinformatics · 2026 · 8 claims · 8 setups

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  Frag'n'Flow is a Nextflow-based pipeline that encapsulates FragPipe, automating manifest/workflow generation, tool dependency management, and downstream analysis for HPC/cloud/cluster environments.

  laboratory institutional breast pluripotent ram cpu storage

• CRESCENT, a comprehensive RNA-Seq expression, splicing, and coding/non-coding element network tool.

  PMID 41566196 · PMC12895761 · BMC bioinformatics · 2026 · 6 claims · 6 setups

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  CRESCENT is a Snakemake workflow performing fully automated, comprehensive RNA-Seq analysis integrating differential expression, differential alternative splicing (DAS), differential transcript usage (DTU), and GO enrichment

  arabidopsis bulk rna-seq-based rna-seq

• OTMODE: an optimal transport theory-based framework for identifying differential features in single-cell multi-omics data.

  PMID 41335419 · PMC12766913 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  OTMODE, using an unbalanced Sinkhorn algorithm and Wald test, improves differential feature identification in single-cell multi-omics data

  simulated classical degs naive simulated bulk real

• DAESC + : high-performance, integrated software for single-cell allele-specific expression data.

  PMID 41851619 · PMC13169709 · BMC bioinformatics · 2026 · 8 claims · 6 setups

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  DAESC+ is a dual-module, end-to-end software package (DAESC-P for preprocessing, DAESC-GPU for differential analysis) for single-cell ASE data

  onek1k endoderm simulated single-cell differential runtime