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).

• Sources of variability and effect of experimental approach on expression profiling data interpretation.

  PMID 11936955 · PMC65691 · BMC bioinformatics · 2002 · 8 claims · 7 setups

  Full-text index only

  Intra-patient tissue heterogeneity (different regions of the same biopsy) is often the greatest source of variability in expression profiling

  skeletal muscle spleen myogenic affymetrix duplicate unsupervised

• Human and mouse oligonucleotide-based array CGH.

  PMID 16361265 · PMC1316119 · Nucleic acids research · 2005 · 8 claims · 8 setups

  Full-text index only

  Oligo array CGH detects single copy gains, multi-copy amplifications, and homozygous/heterozygous deletions as small as 100 kb

  bt474 normal gm01750 mda-mb-468 array fish

• Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling.

  PMID 24888378 · PMC4070569 · BMC genomics · 2014 · 8 claims · 8 setups

  Has reproduction · 77

  Ribo-Zero-Seq removes rRNA with efficiency comparable to poly(A)-based mRNA-Seq in both FF and FFPE RNA, whereas DSN-Seq leaves significantly more rRNA and shows greater variation.

  fresh-frozen ffpe breast unc microarray mrna-seq ribo-zero-seq

• A comparative study of techniques for differential expression analysis on RNA-Seq data.

  PMID 25119138 · PMC4132098 · PloS one · 2014 · 8 claims · 8 setups

  Has reproduction · 58

  edgeR performs slightly better than DESeq and Cuffdiff2 in terms of the ability to uncover true positives.

  brain neurospheres lymphoblastoid simulation single-end paired-end rna-seq

• Proteomic approaches to cancer biomarkers.

  PMID 19931265 · PMC2873613 · Gastroenterology · 2010 · 8 claims · 8 setups

  Full-text index only

  Combining abundant-protein depletion, offline fractionation, and subproteome (e.g., glycoproteome) enrichment with 2D LC-MS/MS increases the dynamic range and depth of blood proteome analysis for biomarker discovery.

  plasma serum capan-2 apcδ580 lectin silac elisa