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).

• EXPLANA: a user-friendly workflow for EXPLoratory ANAlysis and feature selection in cross-sectional and longitudinal microbiome studies.

  PMID 41416890 · PMC12766912 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  EXPLANA is a feature selection workflow for longitudinal microbiome studies (LMS) that supports numerical and categorical data and also accommodates cross-sectional studies.

  simulated same simulation comparative runtime

• 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

• 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

• 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

• CholeraSeq: a comprehensive genomic pipeline for cholera surveillance and near real-time outbreak investigation.

  PMID 41400832 · PMC12790814 · Bioinformatics (Oxford, England) · 2026 · 7 claims · 6 setups

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  CholeraSeq is an automated, V. cholerae-specific Nextflow pipeline that processes WGS outbreak data from raw reads/assemblies to high-quality SNPs and phylogenies in near-real-time.

  cholerae recombination-masked pis read reference-based recombination

• TOFU-MAaPO: fast, scalable and reproducible analysis of large metagenome sequence data from the Sequence Read Archive.

  PMID 42277027 · PMC13260335 · Nature communications · 2026 · 8 claims · 5 setups

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  TOFU-MAaPO yields significantly more high-quality MAGs than metaFun, nf-core/mag, and ATLAS due to integration of multiple complementary binning tools with unified MAGScoT refinement

  gut same uniquely metagenome quality assembly-free

• S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.

  PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.

  dorsolateral dlpfc nanostring spatial cell-type multi-platform

• CLUES A Comprehensive Workflow for Integrating Geospatial Data in Biomedical Research.

  PMID 42128886 · PMC13172076 · Nature communications · 2026 · 8 claims · 5 setups

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  CLUES is an open-source, end-to-end workflow that automates selection, download, harmonization, and linkage of open-access geospatial environmental data to individual-level biomedical data without requiring geospatial expertise.

  national copernicus digital norwegian large-scale download spatial

• FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.

  PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups

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  FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.

  colorectal crc breast he-stained spatial type ccc