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Craig Lawless

Showing results (1-10 of 41) with videos related to

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Metallomics : Integrated Biometal Science|September 25, 2024
Putative retina metal/metalloid-binding proteins: molecular functions, biological processes and retina disease associationsMarta Ugarte, Craig Lawless
Omics : a Journal of Integrative Biology|July 19, 2012
Prediction of missed proteolytic cleavages for the selection of surrogate peptides for quantitative proteomicsCraig Lawless, Simon J Hubbard
Journal of Proteomics|November 24, 2018
Collagen sequence analysis of fossil camels, Camelops and c.f. Paracamelus, from the Arctic and sub-Arctic of Plio-Pleistocene North AmericaMichael Buckley, Craig Lawless, Natalia Rybczynski
Journal of Cell Science|May 11, 2022
Mitochondrial antiviral-signalling protein is a client of the BAG6 protein quality control complexPeristera Roboti, Craig Lawless, Stephen High
Integrative Biology : Quantitative Biosciences From Nano to Macro|December 27, 2022
A kidney proximal tubule model to evaluate effects of basement membrane stiffening on renal tubular epithelial cellsDan Wang, Snehal Sant, Craig Lawless, et al.
Current Protocols in Cell Biology|August 25, 2020
Multiplexed Proximity Biotinylation Coupled to Mass Spectrometry for Defining Integrin Adhesion ComplexesMegan R Chastney, Craig Lawless, Martin J Humphries
Proteomics|January 16, 2010
Investigating protein isoforms via proteomics: a feasibility studyPaul Blakeley, Jennifer A Siepen, Craig Lawless, et al.
STAR Protocols|December 1, 2023
Protocol to characterize basement membranes during kidney development using mass spectrometry-based label-free quantitative proteomicsMychel R P T Morais, Pinyuan Tian, Ronan O'cualain, et al.
Proteomics|April 18, 2015
Representation of selected-reaction monitoring data in the mzQuantML data standardDa Qi, Craig Lawless, Johan Teleman, et al.
Molecular & Cellular Proteomics : MCP|August 5, 2011
CONSeQuence: prediction of reference peptides for absolute quantitative proteomics using consensus machine learning approachesClaire E Eyers, Craig Lawless, David C Wedge, et al.
Pageof 5

Showing results (1-10 of 41) with videos related to

Sort By:
Pageof 5
Metallomics : Integrated Biometal Science|September 25, 2024
Putative retina metal/metalloid-binding proteins: molecular functions, biological processes and retina disease associationsMarta Ugarte, Craig Lawless
Omics : a Journal of Integrative Biology|July 19, 2012
Prediction of missed proteolytic cleavages for the selection of surrogate peptides for quantitative proteomicsCraig Lawless, Simon J Hubbard
Journal of Proteomics|November 24, 2018
Collagen sequence analysis of fossil camels, Camelops and c.f. Paracamelus, from the Arctic and sub-Arctic of Plio-Pleistocene North AmericaMichael Buckley, Craig Lawless, Natalia Rybczynski
Journal of Cell Science|May 11, 2022
Mitochondrial antiviral-signalling protein is a client of the BAG6 protein quality control complexPeristera Roboti, Craig Lawless, Stephen High
Integrative Biology : Quantitative Biosciences From Nano to Macro|December 27, 2022
A kidney proximal tubule model to evaluate effects of basement membrane stiffening on renal tubular epithelial cellsDan Wang, Snehal Sant, Craig Lawless, et al.
Current Protocols in Cell Biology|August 25, 2020
Multiplexed Proximity Biotinylation Coupled to Mass Spectrometry for Defining Integrin Adhesion ComplexesMegan R Chastney, Craig Lawless, Martin J Humphries
Proteomics|January 16, 2010
Investigating protein isoforms via proteomics: a feasibility studyPaul Blakeley, Jennifer A Siepen, Craig Lawless, et al.
STAR Protocols|December 1, 2023
Protocol to characterize basement membranes during kidney development using mass spectrometry-based label-free quantitative proteomicsMychel R P T Morais, Pinyuan Tian, Ronan O'cualain, et al.
Proteomics|April 18, 2015
Representation of selected-reaction monitoring data in the mzQuantML data standardDa Qi, Craig Lawless, Johan Teleman, et al.
Molecular & Cellular Proteomics : MCP|August 5, 2011
CONSeQuence: prediction of reference peptides for absolute quantitative proteomics using consensus machine learning approachesClaire E Eyers, Craig Lawless, David C Wedge, et al.
Pageof 5