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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Pooled DNA genotyping on Affymetrix SNP genotyping arrays.
PMID 16480507 · PMC1382214 · BMC genomics · 2006 · 7 claims · 4 setups
Pooled genotyping on Affymetrix 10K arrays estimates allele frequency differences between pools with accuracy comparable to lower-throughput pooling platforms.
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Genotyping DNA pools on microarrays: tackling the QTL problem of large samples and large numbers of SNPs.
PMID 15811185 · PMC1079828 · BMC genomics · 2005 · 8 claims · 4 setups
Relative Allele Signal (RAS) values from SNP microarrays provide a quantitative index of allele frequencies in pooled DNA
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Allelotyping of pooled DNA with 250 K SNP microarrays.
PMID 17367522 · PMC1839100 · BMC genomics · 2007 · 8 claims · 5 setups
The polynomial based probe specific correction (PPC) algorithm is the most accurate method for estimating allele frequency from pooled DNA.
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Identification of serum biomarkers for colon cancer by proteomic analysis.
PMID 16755300 · PMC2361335 · British journal of cancer · 2006 · 8 claims · 8 setups
Complement C3a des-arg, α1-antitrypsin and transferrin were identified as serum proteins with diagnostic potential for CRC.
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PPC: an algorithm for accurate estimation of SNP allele frequencies in small equimolar pools of DNA using data from high density microarrays.
PMID 16199750 · PMC1240117 · Nucleic acids research · 2005 · 7 claims · 6 setups
The PPC algorithm, which applies a probe-pair-specific second-degree polynomial correction, increases the accuracy of allele frequency estimates from pooled DNA compared with previously described algorithms
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Identification of disease causing loci using an array-based genotyping approach on pooled DNA.
PMID 16197552 · PMC1262713 · BMC genomics · 2005 · 8 claims · 5 setups
Pooling genomic DNA and genotyping on SNP microarrays accurately predicts allelic frequencies relative to individual genotyping
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Has reproduction · 96
A Meta-Analysis of the Effects of Acute Sleep Deprivation on the Cortical Transcriptome in Rodent Models.
PMID 41031900 · PMC13131251 · Journal of sleep research · 2026 · 7 claims · 6 setups
Meta-analysis of 18 SD-vs-control contrasts identified 182 genes differentially expressed in the murine cortex in response to sleep deprivation (FDR < 0.05).
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Genomics--from Neanderthals to high-throughput sequencing.
PMID 16934106 · PMC1779599 · Genome biology · 2006 · 8 claims · 8 setups
Next-generation sequencing platforms (GS20/454 and Solexa) can deliver the throughput and cost reductions needed for population-scale and medical resequencing.
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Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.
PMID 19055809 · PMC2657802 · BMC bioinformatics · 2008 · 7 claims · 5 setups
QC processes for identifying and removing low-quality spectra are often overlooked in proteomic profiling studies
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Limitations in SELDI-TOF MS whole serum proteomic profiling with IMAC surface to specifically detect colorectal cancer.
PMID 19689818 · PMC2743709 · BMC cancer · 2009 · 7 claims · 3 setups
The previously reported classifier (m/z 8,132 and 4,002) failed to discriminate CRC patients from healthy volunteers in this independent validation cohort
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Proteomics and genomics: perspectives on drug and target discovery.
PMID 18302945 · PMC2386992 · Current opinion in chemical biology · 2008 · 8 claims · 8 setups
Protein kinases account for approximately 25% of research and development projects in biotechnology and pharma
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Sources of variability and effect of experimental approach on expression profiling data interpretation.
PMID 11936955 · PMC65691 · BMC bioinformatics · 2002 · 8 claims · 7 setups
Intra-patient tissue heterogeneity (different regions of the same biopsy) is often the greatest source of variability in expression profiling
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Serum diagnosis of diffuse large B-cell lymphomas and further identification of response to therapy using SELDI-TOF-MS and tree analysis patterning.
PMID 18163913 · PMC2242801 · BMC cancer · 2007 · 8 claims · 8 setups
SELDI-TOF-MS serum proteomic patterns analyzed by decision tree classification (Biomarker Pattern Software) can discriminate DLBCL patients from healthy controls with high sensitivity and specificity.