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).

• Optimal scaling of digital transcriptomes.

  PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 67

  Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.

  tissues bodymap mapped 16-sample bulk read transcript

• Polymorphism identification and improved genome annotation of Brassica rapa through Deep RNA sequencing.

  PMID 25122667 · PMC4232532 · G3 (Bethesda, Md.) · 2014 · 8 claims · 8 setups

  Has reproduction · 50

  330,995 SNPs were identified in transcribed regions between B. rapa genotypes R500 and IMB211, at an average frequency of one SNP per 200 bases.

  brassica r500 rapa genomic bulk reference-based snp

• MetaMap: an atlas of metatranscriptomic reads in human disease-related RNA-seq data.

  PMID 29901703 · PMC6025204 · GigaScience · 2018 · 6 claims · 7 setups

  Has reproduction · 95

  A two-step 'omni' RNA-seq pipeline (MetaMap) combining STAR human alignment with CLARK-S metagenomic classification can quantify archaeal, bacterial, and viral reads from the non-human read fraction of human RNA-seq data

  clinical hela tumor rutkowski bulk dual negative

• Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.

  PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups

  Has reproduction · 81

  SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains

  pan-cancer pc9 451lu a375 bulk scrna-seq computational

• PredTAD: A machine learning framework that models 3D chromatin organization alterations leading to oncogene dysregulation in breast cancer cell lines.

  PMID 34093998 · PMC8142020 · Computational and structural biotechnology journal · 2021 · 7 claims · 8 setups

  Has reproduction · 77

  PredTAD, a Gradient Boosting Machine model using epigenomic and genomic features plus neighboring-bin information, classifies 10 kb genomic regions as TAD boundary or non-boundary across normal and breast cancer cell lines.

  mcf10a t47d gm12878 mcf7 hi-c chip-seq atac-seq