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).

• Identification of serum biomarkers for colon cancer by proteomic analysis.

  PMID 16755300 · PMC2361335 · British journal of cancer · 2006 · 8 claims · 8 setups

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  Complement C3a des-arg, α1-antitrypsin and transferrin were identified as serum proteins with diagnostic potential for CRC.

  serum pooled seldi seldi-tof seldi artificial

• The current state of proteomics in GI oncology.

  PMID 19104933 · PMC3045515 · Digestive diseases and sciences · 2009 · 8 claims · 8 setups

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  More than 130 exploratory proteomic studies have defined candidate biomarkers in serum, GI fluids, or cancer tissue for GI oncology

  serum laser-capture-microdissected seldi-ms 2-de antibody

• Minisequencing mitochondrial DNA pathogenic mutations.

  PMID 18402672 · PMC2377236 · BMC medical genetics · 2008 · 7 claims · 7 setups

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  A minisequencing multiplex assay can interrogate 25 pathogenic mtDNA mutations across the whole mtDNA genome in a single reaction using 13 amplicons.

  blood-derived same genomic pcr minisequencing automatic multiplex

• MIMIC: a flexible pipeline to register and summarize IMC-MSI experiments.

  PMID 41917425 · PMC13201759 · Communications biology · 2026 · 7 claims · 6 setups

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  MIMIC is a reproducible, semi-automated workflow that co-registers and jointly analyzes MALDI-MSI and IMC data using a chain of before/after microscopy images.

  liver regions artificial maldi-msi imaging multi-step

• Quality control method for RNA-seq using single nucleotide polymorphism allele frequency.

  PMID 25243705 · PMC4231238 · Genes to cells : devoted to molecular & cellular mechanisms · 2014 · 8 claims · 8 setups

  Has reproduction · 50

  SNP allele frequency distributions from RNA-seq reads can detect contaminating cells whose genomic background differs from the target cells; the mode of the distribution reflects the cellular composition while its variance reflects PCR bias.

  mathematical escs pure stap simulation rna-seq contamination