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Stefka Tyanova

Showing results (1-10 of 26) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|January 19, 2018
Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer ResearchStefka Tyanova, Juergen Cox
Methods in Molecular Biology (Clifton, N.J.)|July 26, 2014
MaxQuant for in-depth analysis of large SILAC datasetsStefka Tyanova, Matthias Mann, Jürgen Cox
Nature Protocols|November 4, 2016
The MaxQuant computational platform for mass spectrometry-based shotgun proteomicsStefka Tyanova, Tikira Temu, Juergen Cox
Elife|June 10, 2016
Global, quantitative and dynamic mapping of protein subcellular localizationDaniel N Itzhak, Stefka Tyanova, Jürgen Cox, et al.
Plos Computational Biology|January 18, 2013
Phosphorylation variation during the cell cycle scales with structural propensities of proteinsStefka Tyanova, Jürgen Cox, Jesper Olsen, et al.
Nature Communications|January 5, 2016
Proteomic maps of breast cancer subtypesStefka Tyanova, Reidar Albrechtsen, Pauliina Kronqvist, et al.
Proteomics|February 4, 2015
Visualization of LC-MS/MS proteomics data in MaxQuantStefka Tyanova, Tikira Temu, Arthur Carlson, et al.
Disease Models & Mechanisms|October 20, 2019
SILAC-based quantitative proteomics using mass spectrometry quantifies endoplasmic reticulum stress in whole HeLa cellsDaniel N Itzhak, Francesca Sacco, Nagarjuna Nagaraj, et al.
Molecular & Cellular Proteomics : MCP|August 28, 2015
Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression ProfilesSally J Deeb, Stefka Tyanova, Michael Hummel, et al.
Nature Protocols|January 12, 2018
Multiplexed proteome analysis with neutron-encoded stable isotope labeling in cells and miceKatherine A Overmyer, Stefka Tyanova, Alex S Hebert, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Methods in Molecular Biology (Clifton, N.J.)|January 19, 2018
Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer ResearchStefka Tyanova, Juergen Cox
Methods in Molecular Biology (Clifton, N.J.)|July 26, 2014
MaxQuant for in-depth analysis of large SILAC datasetsStefka Tyanova, Matthias Mann, Jürgen Cox
Nature Protocols|November 4, 2016
The MaxQuant computational platform for mass spectrometry-based shotgun proteomicsStefka Tyanova, Tikira Temu, Juergen Cox
Elife|June 10, 2016
Global, quantitative and dynamic mapping of protein subcellular localizationDaniel N Itzhak, Stefka Tyanova, Jürgen Cox, et al.
Plos Computational Biology|January 18, 2013
Phosphorylation variation during the cell cycle scales with structural propensities of proteinsStefka Tyanova, Jürgen Cox, Jesper Olsen, et al.
Nature Communications|January 5, 2016
Proteomic maps of breast cancer subtypesStefka Tyanova, Reidar Albrechtsen, Pauliina Kronqvist, et al.
Proteomics|February 4, 2015
Visualization of LC-MS/MS proteomics data in MaxQuantStefka Tyanova, Tikira Temu, Arthur Carlson, et al.
Disease Models & Mechanisms|October 20, 2019
SILAC-based quantitative proteomics using mass spectrometry quantifies endoplasmic reticulum stress in whole HeLa cellsDaniel N Itzhak, Francesca Sacco, Nagarjuna Nagaraj, et al.
Molecular & Cellular Proteomics : MCP|August 28, 2015
Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression ProfilesSally J Deeb, Stefka Tyanova, Michael Hummel, et al.
Nature Protocols|January 12, 2018
Multiplexed proteome analysis with neutron-encoded stable isotope labeling in cells and miceKatherine A Overmyer, Stefka Tyanova, Alex S Hebert, et al.
Pageof 3