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Vasilis J. Promponas

Researcher at University of Cyprus

Publications -  80
Citations -  8501

Vasilis J. Promponas is an academic researcher from University of Cyprus. The author has contributed to research in topics: Nuclear pore & Gene. The author has an hindex of 20, co-authored 74 publications receiving 6667 citations. Previous affiliations of Vasilis J. Promponas include European Bioinformatics Institute & National and Kapodistrian University of Athens.

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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Daniel J. Klionsky, +2522 more
- 21 Jan 2016 - 
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Journal ArticleDOI

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

Daniel J. Klionsky, +2983 more
- 08 Feb 2021 - 
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
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A novel method for predicting transmembrane segments in proteins based on a statistical analysis of the SwissProt database: the PRED-TMR algorithm

TL;DR: A novel method that predicts transmembrane domains in proteins using solely information contained in the sequence itself, refines a standard hydrophobicity analysis with a detection of potential termini ('edges', starts and ends) of trans Membrane regions.
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Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases

TL;DR: A review of the problems associated with tandem repeat sequences that originate from different stages during the sequencing-assembly-annotation-deposition workflow, and that may proliferate in public database repositories affecting all downstream analyses, to raise the awareness level within the community of database users and alert scientists working in the underlying workflow of database creation.
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CAST: an iterative algorithm for the complexity analysis of sequence tracts

TL;DR: A novel algorithm for low-complexity region detection and selective masking based on multiple-pass Smith-Waterman comparison of the query sequence against twenty homopolymers with infinite gap penalties that is sufficient for masking database query sequences without generating false positives.