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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MetaPepticon: automated prediction of anticancer peptides from microbial genomes and metagenomes.
PMID 41918857 · PMC13034871 · PeerJ · 2026 · 7 claims · 6 setups
MetaPepticon is a modular, end-to-end Snakemake pipeline that predicts ACP candidates directly from raw genomic, metagenomic, transcriptomic, metatranscriptomic reads, assembled contigs, or peptide sequences.
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Functional nsSNPs from carcinogenesis-related genes expressed in breast tissue: potential breast cancer risk alleles and their distribution across human populations.
PMID 16595073 · PMC3500178 · Human genomics · 2006 · 7 claims · 5 setups
A bioinformatics strategy cross-referencing carcinogenesis-related gene lists with breast-tissue expression data can identify candidate breast cancer risk nsSNPs.
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Natural selection of protein structural and functional properties: a single nucleotide polymorphism perspective.
PMID 18397526 · PMC2643940 · Genome biology · 2008 · 8 claims · 8 setups
The SNP A/S ratio is a robust measure of selective constraint, correlating with interspecies Ka/Ks ratios and with protein sequence conservation.
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Emerging translational bioinformatics: knowledge-guided biomarker identification for cancer diagnostics.
PMID 19964620 · PMC5003034 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2009 · 8 claims · 3 setups
omniBiomarker, a web-based application, uses prior biological knowledge to identify the most biologically relevant gene ranking metric for a given clinical problem
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Has reproduction · 99
Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing.
PMID 34103501 · PMC8187371 · Nature communications · 2021 · 8 claims · 6 setups
Existing Nanopore methylation detection tools present a tradeoff between false positives and false negatives and show high dispersion relative to expected methylation frequency values.
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Nucleotide-resolution analysis of structural variants using BreakSeq and a breakpoint library.
PMID 20037582 · PMC2951730 · Nature biotechnology · 2010 · 8 claims · 7 setups
A standardized, non-redundant library of 1,889 breakpoint-resolved SVs was assembled from eight published surveys
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Has reproduction · 58
iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data.
PMID 35899080 · PMC9310080 · NAR genomics and bioinformatics · 2022 · 8 claims · 4 setups
iCOMIC provides a GUI-driven, Snakemake-based pipeline integrating multiple tools for DNA-Seq and RNA-Seq analysis with minimal command-line interaction.
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Has reproduction · 90
A Decentralized Kidney Transplant Biopsy Classifier for Transplant Rejection Developed Using Genes of the Banff-Human Organ Transplant Panel.
PMID 35619722 · PMC9128066 · Frontiers in immunology · 2022 · 6 claims · 6 setups
A random forest model trained solely on B-HOT panel genes (B-HOT Model) accurately classifies kidney transplant biopsies as NR, ABMR, or TCMR.
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Has reproduction · 50
The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression.
PMID 38817614 · PMC11137207 · Frontiers in immunology · 2024 · 8 claims · 8 setups
Only two of seven published sepsis gene signatures (derived from adult/pediatric/geriatric cohorts) showed good concordance (>80% accuracy) when applied to infant sepsis, showing limited generalizability of non-infant signatures.
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Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.
PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups
MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.
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DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome.
PMID 18987736 · PMC2603574 · Nature · 2008 · 8 claims · 8 setups
Whole genome sequencing can identify unbiased, novel somatic mutations in a cytogenetically normal AML genome that would not have been found by candidate-gene resequencing.
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Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling.
PMID 19901961 · PMC2820592 · Oncogene · 2010 · 8 claims · 6 setups
Unsupervised gene expression clustering identifies 3 reproducible molecular subtypes of LMS (Group I/muscle-enriched, Group II, Group III)
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Benchmarking methods for genome annotation using nanopore direct RNA in a non-model crop plant.
PMID 41800382 · PMC12967217 · Bioinformatics advances · 2026 · 6 claims · 8 setups
Annotation tools show substantial variation in isoform detection, structural completeness, splicing classification, and handling of 5' read truncation when applied to plant dRNA-seq data.
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Spatial transcriptome and single-cell sequencing reveal the role of nucleotide metabolism in breast cancer progression and tumor microenvironment.
PMID 41613532 · PMC12847018 · Frontiers in oncology · 2025 · 7 claims · 8 setups
Tumor cells show significantly upregulated nucleotide metabolic activity, allowing stratification into NUhighepi and NUlowepi subgroups
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Robust and efficient annotation of cell states through gene signature scoring.
PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups
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.
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Colorectal microenvironment determines the prognosis of colorectal cancer.
PMID 41495419 · PMC12868731 · Experimental & molecular medicine · 2026 · 8 claims · 7 setups
The colorectal microenvironment (classified via NBT gene expression as tumor-supportive vs healthy) can serve as a prognostic biomarker predicting cancer invasiveness and recurrence