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).

• Adaptive discriminant function analysis and reranking of MS/MS database search results for improved peptide identification in shotgun proteomics.

  PMID 18788775 · PMC3744223 · Journal of proteome research · 2008 · 7 claims · 4 setups

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  PeptideProphet's fixed LDA coefficients for combining search scores (Xcorr', ΔCn, SpRank) may not be optimal under all search/instrument conditions.

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• Shotgun proteomics and biomarker discovery.

  PMID 12364816 · PMC3851423 · Disease markers · 2002 · 8 claims · 7 setups

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  Shotgun (LC/LC-MS/MS, e.g. MudPIT) proteomic approaches show advantages over gel-based techniques in speed, sensitivity, scope of analysis, and dynamic range.

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• The PeptideAtlas project.

  PMID 16381952 · PMC1347403 · Nucleic acids research · 2006 · 8 claims · 5 setups

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  PeptideAtlas provides an automated repository that identifies peptides by MS/MS, statistically validates identifications, and maps them to eukaryotic genomes to enable data exchange and integration with genomic data.

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• Optimization of protein solubilization for the analysis of the CD14 human monocyte membrane proteome using LC-MS/MS.

  PMID 19709643 · PMC3159575 · Journal of proteomics · 2009 · 7 claims · 5 setups

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  Methanol-based solubilization, alone or combined with PPS, yields significantly higher membrane protein identification/enrichment than PPS alone in monocyte membrane proteomics

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• A dynamic range compression and three-dimensional peptide fractionation analysis platform expands proteome coverage and the diagnostic potential of whole saliva.

  PMID 19813771 · PMC2789208 · Journal of proteome research · 2009 · 7 claims · 7 setups

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  Coupling DRC (hexapeptide libraries) with 3D peptide fractionation (IEF + SCX + µLC-MS/MS) substantially increases the number of proteins identified in whole saliva

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