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).

• 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

• GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure.

  PMID 35501696 · PMC9063052 · BMC bioinformatics · 2022 · 6 claims · 3 setups

  Has reproduction · 67

  GEMmaker, an nf-core compliant Nextflow workflow, can quantify gene expression from small to massive RNA-seq datasets while remaining reproducible via versioned containerized software.

  oryza arabidopsis generic rna-seq workflow

• umite: fast quantification of Smart-seq3 libraries with improved UMI retrieval.

  PMID 41692984 · PMC12989134 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  umite offers efficient mismatch-tolerant (fuzzy) UMI detection that boosts UMI retrieval by 5%-15% compared to standard position-based matching

  smart-seq3 cd4+ 800-cell umi pipeline gene

• PeakPrime: a peak-guided primer design pipeline for target enrichment in 3'-end RNA-seq.

  PMID 41919010 · PMC13034549 · Bioinformatics advances · 2026 · 8 claims · 7 setups

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  PeakPrime is a reproducible Nextflow pipeline that calls 3′ RNA-seq coverage peaks (MACS2), selects exonic windows, designs strand-appropriate primers (Primer3), and screens specificity (Bowtie2)

  imr-32 universal candidate 10m-read rna-seq targeted quantitative

• 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

• Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.

  PMID 34254998 · PMC8575036 · Briefings in bioinformatics · 2021 · 6 claims · 4 setups

  Has reproduction · 79

  ParProx implements latent group lasso penalized regression (overlapping and non-overlapping groups) for survival (Cox) and classification (logistic) analysis of omics data.

  tcga breast liver simulated cox logistic simulation

• DupyliCate: mining, classifying, and characterizing gene duplications.

  PMID 42209743 · PMC13219399 · Scientific reports · 2026 · 8 claims · 8 setups

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  DupyliCate is a Python tool for identifying and classifying gene duplication arrays, using BUSCO-based species-specific thresholds and offering integrated expression divergence and Ka/Ks analysis.

  arabidopsis thaliana brassicales phytozome sequence duplication runtime

• omnideconv: a unifying framework for using and benchmarking single-cell-informed deconvolution of bulk RNA-seq data.

  PMID 41582216 · PMC12837286 · Genome biology · 2026 · 8 claims · 6 setups

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  omnideconv is an R package providing a unified interface to twelve second-generation deconvolution methods (AutoGeneS, BayesPrism, Bseq-SC, Bisque, CDseq, CIBERSORTx, CPM, DWLS, MOMF, MuSiC, SCDC, Scaden)

  blood-derived pbmc blood spleen bulk scrna-seq pseudo-bulk

• 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