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Matthias E. Futschik

Researcher at University of the Algarve

Publications -  89
Citations -  4598

Matthias E. Futschik is an academic researcher from University of the Algarve. The author has contributed to research in topics: Human interactome & Gene. The author has an hindex of 33, co-authored 84 publications receiving 3831 citations. Previous affiliations of Matthias E. Futschik include Charité & Humboldt University of Berlin.

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Mfuzz: a software package for soft clustering of microarray data.

TL;DR: An R package termed Mfuzz is constructed implementing soft clustering tools for microarray data analysis, which can overcome shortcomings of conventional hard clustering techniques and offer further advantages.
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Tight regulation of unstructured proteins: from transcript synthesis to protein degradation.

TL;DR: It is observed that regulation of transcript clearance, proteolytic degradation, and translational rate contribute to controlling the abundance of IUPs, some of which are present in low amounts and for short periods of time.
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Noise-robust soft clustering of gene expression time-course data

TL;DR: To overcome the limitations of hard clustering, this work applied soft clustering which offers several advantages for researchers, including more noise robust and a priori pre-filtering of genes can be avoided.
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Genome-wide expression dynamics of a marine virus and host reveal features of co-evolution

TL;DR: It is hypothesized that phage have evolved to use upregulated host genes, leading to their stable incorporation into phage genomes and their subsequent transfer back to hosts in genome islands, and activation of host genes during infection may be directing the co-evolution of gene content in both host and phages genomes.
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Choreography of the transcriptome, photophysiology, and cell cycle of a minimal photoautotroph, prochlorococcus.

TL;DR: The marine cyanobacterium Prochlorococcus MED4 has the smallest genome and cell size of all known photosynthetic organisms, and its transitions between photosynthesis during the day and catabolic consumption of energy reserves at night appear to be tightly choreographed at the level of RNA expression.