CONSTANd: An Efficient Normalization Method for Relative Quantification in Small- and Large-Scale Omics Experiments in R BioConductor and Python

Author:

Van Houtven Joris123ORCID,Hooyberghs Jef14ORCID,Laukens Kris53,Valkenborg Dirk26

Affiliation:

1. Flemish Institute for Technological Research (VITO), Boeretang 200, B-2400 Mol, Belgium

2. Data Science Institute (DSI), Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Universiteit Hasselt, Agoralaan, Diepenbeek 3590, Belgium

3. Adrem Data Lab, Department of Computer Sciences, Universiteit Antwerpen, Middelheimlaan 1, Antwerpen 2020, Belgium

4. Data Science Institute (DSI), Theoretical Physics, Universiteit Hasselt, Agoralaan, Diepenbeek 3590, Belgium

5. Biomedical Informatics Network Antwerp (Biomina), Universiteit Antwerpen, Middelheimlaan 1, Antwerpen 2020, Belgium

6. Centre for Proteomics, Universiteit Antwerpen, Groenenborgerlaan 171, Antwerpen 2020, Belgium

Funder

Vlaamse Instelling voor Technologisch Onderzoek

Department of Economy, Science and Innovation, Flanders

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Reference19 articles.

1. Wetie, A. G. N.; Shipp, D. A.; Darie, C. C. Advancements of Mass Spectrometry in Biomedical Research; Springer, 2014; pp 581–593.

2. Congenica, Ltd. The Genomic Analysis Bottleneck - Is It Limiting Your Lab’d Ability to Scale? 2020. https://blog.congenica.com/the-genomic-analysis-bottleneck-is-it-limiting-your-labs-ability-to-scale (accessed 2021-03-11).

3. Laurenson, S. Scream If You Wanna Go FASTA: Breaking the Bottleneck in Genomic Data Analysis, 2019. https://www.technologynetworks.com/informatics/articles/scream-if-you-wanna-go-fasta-breaking-the-bottleneck-in-genomic-data-analysis-328366 (accessed 2021-03-11).

4. What is Normalization? The Strategies Employed in Top-Down and Bottom-Up Proteome Analysis Workflows

5. Statistical Analysis of Relative Labeled Mass Spectrometry Data from Complex Samples Using ANOVA

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