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).
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Full-text index only
A statistical approach designed for finding mathematically defined repeats in shotgun data and determining the length distribution of clone-inserts.
PMID 15626332 · PMC5172250 · Genomics, proteomics & bioinformatics · 2003 · 8 claims · 6 setups
Repeats of different copy number have distinct probabilities of appearance in shotgun data, which can be modeled statistically to define recognition thresholds (MDRs) at different shotgun coverages.
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Has reproduction · 95
Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.
PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups
Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.
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Has reproduction · 85
ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion.
PMID 34844559 · PMC8628418 · BMC genomics · 2021 · 8 claims · 8 setups
scLRTC imputes dropout entries closest to the original expression values on simulated datasets, outperforming other state-of-the-art methods by SSE and PCC.
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Has reproduction · 88
Wochenende - modular and flexible alignment-based shotgun metagenome analysis.
PMID 36368923 · PMC9650795 · BMC genomics · 2022 · 8 claims · 6 setups
Wochenende is a modular, transparent alignment-based pipeline for shotgun metagenome analysis supporting short and long reads across all kingdoms of life
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Has reproduction · 42
CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.
PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 8 setups
CanCellCap, a multi-domain learning framework integrating domain adversarial learning and Mixture of Experts, identifies cancer cells across all tissues, cancers, and sequencing platforms by extracting tissue-common and tissue-specific gene expression patterns.
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Full-text index only
Comparative genomic study reveals a transition from TA richness in invertebrates to GC richness in vertebrates at CpG flanking sites: an indication for context-dependent mutagenicity of methylated CpG sites.
PMID 19329065 · PMC5054122 · Genomics, proteomics & bioinformatics · 2008 · 8 claims · 8 setups
Nucleotide preference at CpG flanking sites transitions from 5' T (invertebrates) to 5' A (vertebrates) at the invertebrate-vertebrate boundary