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

• Metapipeline-DNA: A comprehensive germline and somatic genomics Nextflow pipeline.

  PMID 41850291 · PMC13030954 · Cell reports methods · 2026 · 8 claims · 7 setups

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  Metapipeline-DNA automates germline and somatic DNA sequencing analysis end-to-end, from raw reads through preprocessing, feature detection, QC, and visualization.

  pcawg giab pcawg-5 tumor-normal whole-genome germline somatic

• 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

• A comprehensive toolkit for analyzing cell-free DNA genomic sequencing data in liquid biopsy.

  PMID 42111187 · PMC13157187 · iScience · 2026 · 8 claims · 8 setups

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  cfDNAanalyzer integrates feature extraction, feature processing/selection, and machine learning model building into a single one-command-line toolkit for cfDNA genomic sequencing data

  balanced breast healthy multi-cancer cfdna machine computational

• 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