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Amin Moghaddas Gholami
Researcher at Technische Universität München
Publications - 21
Citations - 3821
Amin Moghaddas Gholami is an academic researcher from Technische Universität München. The author has contributed to research in topics: Proteome & Bioconductor. The author has an hindex of 17, co-authored 21 publications receiving 3269 citations. Previous affiliations of Amin Moghaddas Gholami include La Jolla Institute for Allergy and Immunology & German Cancer Research Center.
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Journal ArticleDOI
Mass-spectrometry-based draft of the human proteome
Mathias Wilhelm,Judith Schlegl,Hannes Hahne,Amin Moghaddas Gholami,Marcus Lieberenz,Mikhail M. Savitski,Emanuel Ziegler,Lars Butzmann,Siegfried Gessulat,Harald Marx,Toby Mathieson,Simone Lemeer,Karsten Schnatbaum,Ulf Reimer,Holger Wenschuh,Martin Mollenhauer,Julia Slotta-Huspenina,Joos-Hendrik Boese,Marcus Bantscheff,Anja Gerstmair,Franz Faerber,Bernhard Kuster +21 more
TL;DR: A mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB are presented, which enables navigation of proteomes, provides biological insight and fosters the development of proteomic technology.
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High-fat diet alters gut microbiota physiology in mice
Hannelore Daniel,Amin Moghaddas Gholami,David Berry,Charles Desmarchelier,Hannes Hahne,Gunnar Loh,Stanislas Mondot,Patricia Lepage,Michael Rothballer,Alesia Walker,Christoph Böhm,Mareike Wenning,Michael Wagner,Michael Blaut,Philippe Schmitt-Kopplin,Bernhard Kuster,Dirk Haller,Thomas Clavel +17 more
TL;DR: It is concluded that a HF diet markedly affects the gut bacterial ecosystem at the functional level.
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Global Proteome Analysis of the NCI-60 Cell Line Panel
Amin Moghaddas Gholami,Hannes Hahne,Zhixiang Wu,Florian Auer,Chen Meng,Mathias Wilhelm,Bernhard Kuster,Bernhard Kuster,Bernhard Kuster +8 more
TL;DR: A quantitative proteome and kinome profile of the NCI-60 panel covering, in total, 10,350 proteins (including 375 protein kinases) and including a core cancer proteome of 5,578 proteins that were consistently quantified across all tissue types is presented.
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Dimension reduction techniques for the integrative analysis of multi-omics data
Chen Meng,Oana A. Zeleznik,Gerhard G. Thallinger,Bernhard Kuster,Amin Moghaddas Gholami,Aedín C. Culhane +5 more
TL;DR: This work explores dimension reduction techniques as one of the emerging approaches for data integration, and how these can be applied to increase the understanding of biological systems in normal physiological function and disease.
Journal ArticleDOI
A multivariate approach to the integration of multi-omics datasets
TL;DR: Multiple co-inertia analysis (MCIA), an exploratory data analysis method that identifies co-relationships between multiple high dimensional datasets, is described, an attractive method for data integration and visualization of several datasets of multi-omics features observed on the same set of individuals.