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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Has reproduction · 80
GenomeChronicler: The Personal Genome Project UK Genomic Report Generator Pipeline.
PMID 33193602 · PMC7541957 · Frontiers in genetics · 2020 · 7 claims · 4 setups
GenomeChronicler is the first pipeline able to run offline or in the cloud to generate personal genomics reports (not limited to disease) from whole genome or whole exome sequencing data.
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Application of functional genomics to primate endometrium: insights into biological processes.
PMID 17118168 · PMC1775064 · Reproductive biology and endocrinology : RB&E · 2006 · 8 claims · 7 setups
Gene expression profiles differ distinctly across proliferative, early-, mid-, and late-secretory phases of the human menstrual cycle, reflecting sequential estradiol and progesterone action.
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Unveiling the NEFH+ malignant cell subtype: Insights from single-cell RNA sequencing in prostate cancer progression and tumor microenvironment interactions.
PMID 39759507 · PMC11695424 · Frontiers in immunology · 2024 · 8 claims · 8 setups
A malignant cell subtype in PCa with high expression of NEFH was identified, located at the differentiation terminal, showing higher malignancy and association with advanced tumor lesions.
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Has reproduction · 67
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.
PMID 37847658 · PMC10628388 · Bioinformatics (Oxford, England) · 2023 · 8 claims · 6 setups
PSPred-ALE outperforms state-of-the-art SARS-CoV-2 phosphorylation site predictors (e.g. DeepIPs) and handcrafted feature-based methods in benchmarking comparisons
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Has reproduction · 76
Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case.
PMID 26286638 · PMC4541321 · Scientific reports · 2015 · 6 claims · 6 setups
DRW-GM evaluates gene topological importance by directed random walk on a global gene–metabolite pathway graph integrating gene expression and metabolomic profiles to infer pathway activities
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Has reproduction · 74
An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study.
PMID 27583132 · PMC4972086 · F1000Research · 2016 · 6 claims · 6 setups
An open-source, reproducible RNA-seq pipeline delivered as an IPython notebook and Docker image can process raw RNA-seq data into interactive PCA/HC plots, enrichment results, and small-molecule predictions with minimal setup overhead
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Has reproduction · 64
VIGET: A web portal for study of vaccine-induced host responses based on Reactome pathways and ImmPort data.
PMID 37180100 · PMC10172660 · Frontiers in immunology · 2023 · 7 claims · 7 setups
VIGET is a web portal that lets users select vaccines/ImmPort studies, run differential gene expression analysis, and perform Reactome-based pathway enrichment and functional interaction network construction
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Has reproduction · 61
Omics Playground: a comprehensive self-service platform for visualization, analytics and exploration of Big Omics Data.
PMID 33575569 · PMC7671354 · NAR genomics and bioinformatics · 2020 · 8 claims · 5 setups
Omics Playground is a user-friendly, interactive self-service platform for in-depth analysis, visualization, and interpretation of transcriptomics and proteomics data, including single-cell RNA-seq.
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Has reproduction · 60
A comparative analysis of blastoid models through single-cell transcriptomics.
PMID 39524369 · PMC11543915 · iScience · 2024 · 8 claims · 7 setups
EPSC-derived blastoids are transcriptomically distinct from nPSC-derived blastoids, with nPSC-blastoids clustering closer to natural blastocysts.
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Has reproduction · 87
Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer.
PMID 36232369 · PMC9569723 · International journal of molecular sciences · 2022 · 8 claims · 8 setups
Common genes shared across five cancer types differ from those found in nonmalignant tissue-resident T-cells for each subset (CD4-T, CD8-T, Treg)
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Metagenomic analysis of respiratory tract DNA viral communities in cystic fibrosis and non-cystic fibrosis individuals.
PMID 19816605 · PMC2756586 · PloS one · 2009 · 8 claims · 8 setups
CF phage communities are highly similar to each other, whereas Non-CF individuals have more distinct, variable phage communities reflecting transient environmental sampling
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Major transitions in early coral development: novel insights enabled by visualisation of a comprehensive transcriptomic dataset for Acropora millepora.
PMID 41612263 · PMC12924552 · BMC biology · 2026 · 8 claims · 6 setups
Profiling gene expression across 26 life stages of A. millepora and building an interactive Shiny-based tool (DEView) enables comprehensive visualisation of developmental transcriptomic data.
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Has reproduction · 59
WASP: a versatile, web-accessible single cell RNA-Seq processing platform.
PMID 33736596 · PMC7977290 · BMC genomics · 2021 · 7 claims · 7 setups
WASP is a software platform for processing Drop-Seq-based scRNA-seq data generated with ddSEQ or 10x protocols, combining a Snakemake pre-processing pipeline with an R Shiny post-processing application.
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Has reproduction · 96
Immuno-detection by sequencing enables large-scale high-dimensional phenotyping in cells.
PMID 29921844 · PMC6008431 · Nature communications · 2018 · 8 claims · 8 setups
ID-seq combines DNA-tagged antibodies with high-throughput sequencing to enable large-scale, high-dimensional, multiplexed (phospho-)protein phenotyping in fixed cell populations across many samples in parallel.
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Metabolomics applied to diabetes research: moving from information to knowledge.
PMID 19875619 · PMC2768174 · Diabetes · 2009 · 8 claims · 7 setups
Metabolomics measures chemical phenotypes that are the net result of genomic, transcriptomic, and proteomic variability, providing the most integrated profile of biological status