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).

• Umi-pipeline-nf: a modular and scalable workflow for UMI-tagged nanopore amplicon analysis with real-time sequencing integration and GPU-acceleration.

  PMID 41923360 · PMC13070649 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  umi-pipeline-nf is a portable, fully containerized, modular Nextflow DSL2 workflow that generates single-molecule consensus sequences from UMI-tagged nanopore amplicon data and scales linearly from single samples to large cohorts.

  lpa zymo sars-cov-2 nanopore real-time umi

• Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data.

  PMID 41825449 · PMC13030991 · Cell reports methods · 2026 · 7 claims · 3 setups

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  NCLUSION matches the performance of state-of-the-art single-cell clustering techniques with significantly reduced runtime

  brain-large scdesign3-simulated facs-purified scrna-seq simulated

• 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

• Prior-guided factorization for reliable imputation of scRNA-seq data.

  PMID 41860953 · PMC13004523 · PLoS computational biology · 2026 · 8 claims · 8 setups

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  scZN models scRNA-seq counts as a mixture of a two-state (Gamma-Poisson/negative binomial) transcriptional bursting process and dropout, formalized via a zero-inflated negative binomial (ZINB) and solved as constrained nonnegative matrix factorization into a cell-to-cell-type assignment matrix and a cell-type expression matrix

  ercc real randomly brain scrna-seq cell-cycle k-nn

• 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

• Accurate chromatin marks peak calling with Omnipeak.

  PMID 41521664 · PMC12784980 · Nucleic acids research · 2026 · 8 claims · 6 setups

  Has reproduction · 77

  Omnipeak is a universal unsupervised peak-calling algorithm based on a constrained three-state hidden Markov model (zero, noise, signal states)

  gm12878 roadmap abf immgen chip-seq ultra-low-input atac-seq

• HTSQualC is a flexible and one-step quality control software for high-throughput sequencing data analysis.

  PMID 34548573 · PMC8455540 · Scientific reports · 2021 · 8 claims · 5 setups

  Has reproduction · 89

  HTSQualC is a standalone, one-step QC software that performs filtering and trimming of raw HTS data in a single run

  cotton sugarcane tomato illumina single-end paired-end runtime

• Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap.

  PMID 41650244 · PMC12890892 · Proceedings of the National Academy of Sciences of the United States of America · 2026 · 8 claims · 7 setups

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  SuperMap learns cross-modal feature mappings directly from unpaired multimodal data without requiring paired training data

  pbmc bone skin embryos scrna-seq scnmt-seq asap-seq

• Robust and efficient annotation of cell states through gene signature scoring.

  PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups

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  Established scoring methods (Seurat, SCANPY, UCell, JASMINE) fail to provide robust and comparable score distributions across diverse signatures and experimental conditions, precluding accurate unsupervised cell-state annotation.

  pbmc colorectal esophageal crc scrna-seq cross-implementation signature

• pmid-41912521

  PMID 41912521 · PMC13199379 · 8 claims · 8 setups

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  RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data

  downsampled pbmc brain simulated scrna-seq cite-seq single-cell

• 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

• 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

• 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

• SGCRNA: spectral clustering-guided co-expression network analysis without scale-free constraints for multi-omic data.

  PMID 41615289 · PMC12856952 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  WGCNA's reliance on a scale-free topology assumption is problematic because real co-expression networks do not consistently exhibit scale-free properties

  gse114007 gse261545 dryad.37pvmcvsg prjna762466 bulk spatial merfish

• 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

• Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.

  PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups

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  UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data

  simulated colorectal hippocampus ear simulated runtime spatial

• pmid-41907409

  PMID 41907409 · PMC13019583 · 8 claims · 8 setups

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  scMILD identifies condition-associated cells using only sample-level labels via a dual-branch MIL architecture with a shared encoder

  simulated lupus covid-19 ulcerative simulated mixture scrna-seq

• Bayesian transcriptome assembly.

  PMID 25367074 · PMC4397945 · Genome biology · 2014 · 8 claims · 8 setups

  Has reproduction · 68

  Bayesembler, a probabilistic transcriptome assembler built on a Bayesian model of the RNA sequencing process with Gibbs sampling over expressed candidates, abundances and read assignments, is introduced.

  k562 embryonic dendritic rna-seq simulated paired-end long-read

• Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?

  PMID 41627342 · PMC12862982 · Briefings in bioinformatics · 2026 · 7 claims · 3 setups

  Has reproduction · 89

  No single existing SOTA imputation method consistently performs well across newer SRT platforms/datasets

  datasets srt same computational proposed

• CIRCE: a scalable Python package to predict cis-regulatory DNA interactions from single-cell chromatin accessibility data.

  PMID 41734268 · PMC12987762 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups

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  CIRCE re-implements the Cicero co-accessibility algorithm in Python, producing near-identical results while running much faster and using far less memory

  bmmc pbmc foetal cis-regulatory enhancer-promoter scalability