P
Partho Sen
Researcher at Åbo Akademi University
Publications - 44
Citations - 1147
Partho Sen is an academic researcher from Åbo Akademi University. The author has contributed to research in topics: Microbiome & Medicine. The author has an hindex of 13, co-authored 37 publications receiving 688 citations. Previous affiliations of Partho Sen include Centre national de la recherche scientifique & Chalmers University of Technology.
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Journal ArticleDOI
Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome
Saeed Shoaie,Pouyan Ghaffari,Petia Kovatcheva-Datchary,Adil Mardinoglu,Partho Sen,Estelle Pujos-Guillot,Tomas de Wouters,Catherine Juste,Salwa W. Rizkalla,Salwa W. Rizkalla,Julien Chilloux,Lesley Hoyles,Jeremy K. Nicholson,Joël Doré,Marc E. Dumas,Karine Clément,Karine Clément,Karine Clément,Fredrik Bäckhed,Fredrik Bäckhed,Jens Nielsen +20 more
TL;DR: The CASINO (Community And Systems-level INteractive Optimization) toolbox is described, a comprehensive computational platform for analysis of microbial communities through metabolic modeling that could quantitatively describe altered fecal and serum amino acid levels in response to diet intervention.
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Gut metabolome meets microbiome: A methodological perspective to understand the relationship between host and microbe.
TL;DR: This review presents and discusses the metabolomic strategies to study the gut microbial ecosystem and highlights the metabolic profiling approaches to study faecal samples aimed at deciphering the metabolic product derived from gut microbiota.
Journal ArticleDOI
Evaluation and assessment of read-mapping by multiple next-generation sequencing aligners based on genome-wide characteristics.
TL;DR: None of the aligners outperforms the others in the benchmark, however the aligner perform differently with genome characteristics, thus enhancing the accuracy of read mapping.
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Metabolic Modeling of Human Gut Microbiota on a Genome Scale: An Overview
Partho Sen,Matej Orešič +1 more
TL;DR: How meta-omics datasets such as shotgun metagenomics, can be processed and integrated to develop large-scale, condition-specific, personalized microbiota models in healthy and disease states are discussed.
Journal ArticleDOI
Perspectives on Systems Modeling of Human Peripheral Blood Mononuclear Cells.
TL;DR: Various omics and systems-based approaches such as transcriptomics, epigenomics, proteomics, and metabolomics as applied to PBMCs, particularly T helper subsets, that unveiled disease markers and the underlying mechanisms are reviewed.