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Sami Pietilä

Showing results (1-10 of 24) with videos related to

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ISME Communications|November 8, 2023
Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samplesSami Pietilä, Tomi Suomi, Laura L Elo
Methods in Molecular Biology (Clifton, N.J.)|October 3, 2018
A Data Analysis Protocol for Quantitative Data-Independent Acquisition ProteomicsSami Pietilä, Tomi Suomi, Juhani Aakko, et al.
Journal of Proteome Research|February 6, 2026
Complete Data Analysis Workflow for Quantitative DIA Mass Spectrometry Using NextflowMats Perk, Sami Pietilä, Tommi Välikangas, et al.
Briefings in Bioinformatics|April 12, 2014
Toward more realistic drug-target interaction predictionsTapio Pahikkala, Antti Airola, Sami Pietilä, et al.
Computers in Biology and Medicine|January 27, 2025
Adaptive sequence alignment for metagenomic data analysisSami Pietilä, Tomi Suomi, Niklas Paulin, et al.
Briefings in Bioinformatics|April 8, 2022
Correction to: PhosPiR: an automated phosphoproteomic pipeline in RYe Hong, Dani Flinkman, Tomi Suomi, et al.
Briefings in Bioinformatics|December 9, 2021
PhosPiR: an automated phosphoproteomic pipeline in RYe Hong, Dani Flinkman, Tomi Suomi, et al.
Scientific Reports|July 26, 2020
A carbohydrate-active enzyme (CAZy) profile links successful metabolic specialization of Prevotella to its abundance in gut microbiotaJuhani Aakko, Sami Pietilä, Raine Toivonen, et al.
Journal of Biomolecular Techniques : JBT|March 7, 2017
Gut Microbiota Analysis Results Are Highly Dependent on the 16S rRNA Gene Target Region, Whereas the Impact of DNA Extraction Is MinorAnniina Rintala, Sami Pietilä, Eveliina Munukka, et al.
BJU International|September 27, 2018
Chronic nonbacterial prostate inflammation in a rat model is associated with changes of gut microbiota that can be modified with a galactoglucomannan-rich hemicellulose extract in the dietYvonne Konkol, Anniina Keskitalo, Heikki Vuorikoski, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
ISME Communications|November 8, 2023
Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samplesSami Pietilä, Tomi Suomi, Laura L Elo
Methods in Molecular Biology (Clifton, N.J.)|October 3, 2018
A Data Analysis Protocol for Quantitative Data-Independent Acquisition ProteomicsSami Pietilä, Tomi Suomi, Juhani Aakko, et al.
Journal of Proteome Research|February 6, 2026
Complete Data Analysis Workflow for Quantitative DIA Mass Spectrometry Using NextflowMats Perk, Sami Pietilä, Tommi Välikangas, et al.
Briefings in Bioinformatics|April 12, 2014
Toward more realistic drug-target interaction predictionsTapio Pahikkala, Antti Airola, Sami Pietilä, et al.
Computers in Biology and Medicine|January 27, 2025
Adaptive sequence alignment for metagenomic data analysisSami Pietilä, Tomi Suomi, Niklas Paulin, et al.
Briefings in Bioinformatics|April 8, 2022
Correction to: PhosPiR: an automated phosphoproteomic pipeline in RYe Hong, Dani Flinkman, Tomi Suomi, et al.
Briefings in Bioinformatics|December 9, 2021
PhosPiR: an automated phosphoproteomic pipeline in RYe Hong, Dani Flinkman, Tomi Suomi, et al.
Scientific Reports|July 26, 2020
A carbohydrate-active enzyme (CAZy) profile links successful metabolic specialization of Prevotella to its abundance in gut microbiotaJuhani Aakko, Sami Pietilä, Raine Toivonen, et al.
Journal of Biomolecular Techniques : JBT|March 7, 2017
Gut Microbiota Analysis Results Are Highly Dependent on the 16S rRNA Gene Target Region, Whereas the Impact of DNA Extraction Is MinorAnniina Rintala, Sami Pietilä, Eveliina Munukka, et al.
BJU International|September 27, 2018
Chronic nonbacterial prostate inflammation in a rat model is associated with changes of gut microbiota that can be modified with a galactoglucomannan-rich hemicellulose extract in the dietYvonne Konkol, Anniina Keskitalo, Heikki Vuorikoski, et al.
Pageof 3