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).

• Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.

  PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)

  pbmc cord melanoma lung scrna-seq computational

• Celline: a flexible tool for one-step retrieval and integrative analysis of public single-cell RNA sequencing data.

  PMID 41458999 · PMC12738925 · Frontiers in bioinformatics · 2025 · 8 claims · 7 setups

  Has reproduction · 64

  Celline is a Python package executing an entire scRNA-seq workflow (retrieval, preprocessing, integration, analysis) using single-line commands per step

  mus brain integrated homo droplet-based scrna-seq cell-type

• Chromosome-level genome assembly of Lilford's wall lizard, Podarcis lilfordi (Günther, 1874) from the Balearic Islands (Spain).

  PMID 37137526 · PMC10214862 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2023 · 8 claims · 8 setups

  Has reproduction · 85

  First high-quality chromosome-level genome assembly and annotation of P. lilfordi, generated via a mixed sequencing strategy (10X linked reads, ONT long reads, Hi-C) plus RNAseq/Iso-Seq

  liver-derived muscle heart pooled 10x oxford hi-c

• Cell type-specific eQTL analysis of COVID-19 based on single-cell transcriptomic data.

  PMID 41064594 · PMC12501775 · NAR genomics and bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 51

  Single-cell eQTL analysis across eight immune cell types identified 2593 genes whose expression is significantly associated with common genetic polymorphisms, with most genes showing cell type-specific effects

  pbmcs eight pbmc monocytes scrna-seq genetic cis-eqtl

• iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.

  PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal

  nsclc coad brca tcga scrna-seq bulk rna-seq

• Enteroendocrine cell lineages that differentially control feeding and gut motility.

  PMID 36810133 · PMC10032656 · eLife · 2023 · 6 claims · 8 setups

  Has reproduction · 88

  Vil1-p2a-FlpO knock-in mice combined with lineage-specific Cre lines enable highly selective intersectional genetic access to major enteroendocrine cell lineages (serotonin/enterochromaffin, GLP1, CCK, somatostatin, GIP) in vivo

  neurod1-cre neurog3-cre intestinal vil1-p2a-flpo single-cell fluorescence-activated two-color

• TEMP: a computational method for analyzing transposable element polymorphism in populations.

  PMID 24753423 · PMC4066757 · Nucleic acids research · 2014 · 8 claims · 8 setups

  Has reproduction · 61

  TEMP combines pair-end (discordant) read and split (soft-clipped) read information to identify both presence and absence of TE insertions in genomic DNA from heterogeneous/pooled samples.

  drosophila five four melanogaster simulated comparative whole-genome

• Assessing the gene space in draft genomes.

  PMID 19042974 · PMC2615622 · Nucleic acids research · 2009 · 6 claims · 7 setups

  Full-text index only

  The proportion of mapped CEGs in a draft genome assembly is a useful metric for describing gene space completeness, complementing N50 and x-fold coverage.

  caenorhabditis toxoplasma homo briggsae cegma blast tblastn

• Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing.

  PMID 36401180 · PMC9673297 · Genetics, selection, evolution : GSE · 2022 · 8 claims · 8 setups

  Has reproduction · 50

  BaseVar + STITCH at 1.0X sequencing depth with a sample size >300 achieves the highest genotyping accuracy among tested imputation strategies (genotype concordance >98.8%, genotype accuracy >0.97).

  angora domesticated candidate low-coverage multivariate principal

• A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.

  PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups

  Has reproduction · 91

  DeClust is a reference profile-free deconvolution method that simultaneously deconvolves bulk tumor expression into cancer, immune, and stromal compartments and clusters samples into cancer cell-intrinsic molecular subtypes, outputting subtype-specific reference profiles for the cohort rather than for individuals.

  solid muscle-invasive ccrcc for bulk single-cell scrna-seq

• Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.

  PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 7 setups

  Has reproduction · 87

  Genetic variation–based demultiplexing tools can be effectively deployed on cancer scRNA-seq tissue using a pooled experimental design, achieving high recall at acceptable precision-recall tradeoffs in both high-CNV (HGSOC) and high-SNV (lung adenocarcinoma) cancers, even with extremely high doublet proportions.

  high-grade lung hgsoc healthy single-cell matched doublet

• Cell-type annotation with accurate unseen cell-type identification using multiple references.

  PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups

  Has reproduction · 68

  mtANN integrates multiple reference datasets and eight gene selection methods via ensemble learning (multiple deep classification models + majority voting) to improve cell-type annotation accuracy

  pbmc pancreas covid-19 scrna-seq