Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	Anastasia: An automated metagenomic analysis pipeline for novel enzyme discovery exploiting next generation sequencing data
Δημιουργός/Συγγραφέας:	Koutsandreas T. Ladoukakis E. Pilalis E. Zarafeta D. [EL] Κολίσης, Φραγκίσκος Ν.[EN] Kolisis, Fragiskos N.‏ [EL] Σκρέτας, Γιώργος[EN] Skretas, George [EL] Χατζηιωάννου, Αριστοτέλης[EN] Chatziioannou, Aristotelis
Εκδότης:	Frontiers Media S.A.
Ημερομηνία:	2019
Γλώσσα:	Αγγλικά
ISSN:	1664-8021
DOI:	10.3389/fgene.2019.00469
Περίληψη:	Metagenomic analysis of environmental samples provides deep insight into the enzymatic mixture of the corresponding niches, capable of revealing peptide sequences with novel functional properties exploiting the high performance of next-generation sequencing (NGS) technologies. At the same time due to their ever increasing complexity, there is a compelling need for ever larger computational configurations to ensure proper bioinformatic analysis, and fine annotation. With the aiming to address the challenges of such an endeavor, we have developed a novel web-based application named ANASTASIA (automated nucleotide aminoacid sequences translational plAtform for systemic interpretation and analysis). ANASTASIA provides a rich environment of bioinformatic tools, either publicly available or novel, proprietary algorithms, integrated within numerous automated algorithmic workflows, and which enables versatile data processing tasks for (meta)genomic sequence datasets. ANASTASIA was initially developed in the framework of the European FP7 project HotZyme, whose aim was to perform exhaustive analysis of metagenomes derived from thermal springs around the globe and to discover new enzymes of industrial interest. ANASTASIA has evolved to become a stable and extensible environment for diversified, metagenomic, functional analyses for a range of applications overarching industrial biotechnology to biomedicine, within the frames of the ELIXIR-GR project. As a showcase, we report the successful in silico mining of a novel thermostable esterase termed “EstDZ4” from a metagenomic sample collected from a hot spring located in Krisuvik, Iceland.
Τίτλος πηγής δημοσίευσης:	Frontiers in Genetics
Τόμος/Κεφάλαιο:	10
Τεύχος:	MAY
Θεματική Κατηγορία:	[EL] Βιολογία (Γενικά)[EN] Biology (General) [EL] Βιοτεχνολογία[EN] Biotechnology
Λέξεις-Κλειδιά:	Automated pipelines Bioinformatics Metagenomics Next generation sequencing Novel enzymes Systemic biology
Αξιολόγηση από ομότιμους (peer reviewed):	Ναι
Κάτοχος πνευματικών δικαιωμάτων:	© 2019 Koutsandreas, Ladoukakis, Pilalis, Zarafeta, Kolisis, Skretas and Chatziioannou
Όροι και προϋποθέσεις δικαιωμάτων:	This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Σημειώσεις:	Genzyme: 265933; Society for Industrial Microbiology and Biotechnology, SIMB: EU/FP7/KBBE-2010.3.5-04; European Commission, EC; State Scholarships Foundation, IKY; European Social Fund, ESF.
Εμφανίζεται στις συλλογές:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο