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Dive into the research topics where Renzo Kottmann is active.

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Featured researches published by Renzo Kottmann.


Systematic and Applied Microbiology | 2008

A standard operating procedure for phylogenetic inference (SOPPI) using (rRNA) marker genes.

Jörg Peplies; Renzo Kottmann; Wolfgang Ludwig; Frank Oliver Glöckner

Phylogenetic analysis is currently used worldwide for taxonomic classification and identification of microorganisms. However, despite the countless trees that have been reconstructed and published in recent decades, so far, no user-friendly compilation of recommendations to standardize the data analysis and tree reconstruction process has been published. Consequently, this standard operating procedure for phylogenetic inference (SOPPI) offers a helping hand for working through the process from sampling in the field to phylogenetic tree reconstruction and publication. It is not meant to be authoritative or comprehensive, but should help to make phylogenetic inference and diversity analysis more reliable and comparable between different laboratories. It is mainly focused on using the ribosomal RNA as a universal phylogenetic marker, but the principles and recommendations can be applied to any valid marker gene. Feedback and suggestions from the scientific community are welcome in order to improve these guidelines further. Any updates will be made available on the SILVA webpage at http://www.arb-silva.de/projects/soppi.


Nucleic Acids Research | 2017

The antiSMASH database, a comprehensive database of microbial secondary metabolite biosynthetic gene clusters

Kai Blin; Marnix H. Medema; Renzo Kottmann; Sang Yup Lee; Tilmann Weber

Secondary metabolites produced by microorganisms are the main source of bioactive compounds that are in use as antimicrobial and anticancer drugs, fungicides, herbicides and pesticides. In the last decade, the increasing availability of microbial genomes has established genome mining as a very important method for the identification of their biosynthetic gene clusters (BGCs). One of the most popular tools for this task is antiSMASH. However, so far, antiSMASH is limited to de novo computing results for user-submitted genomes and only partially connects these with BGCs from other organisms. Therefore, we developed the antiSMASH database, a simple but highly useful new resource to browse antiSMASH-annotated BGCs in the currently 3907 bacterial genomes in the database and perform advanced search queries combining multiple search criteria. antiSMASH-DB is available at http://antismash-db.secondarymetabolites.org/.


BMC Bioinformatics | 2008

JCoast – A biologist-centric software tool for data mining and comparison of prokaryotic (meta)genomes

Michael Richter; Thierry Lombardot; Ivaylo Kostadinov; Renzo Kottmann; Melissa B. Duhaime; Jörg Peplies; Frank Oliver Glöckner

BackgroundCurrent sequencing technologies give access to sequence information for genomes and metagenomes at a tremendous speed. Subsequent data processing is mainly performed by automatic pipelines provided by the sequencing centers. Although, standardised workflows are desirable and useful in many respects, rational data mining, comparative genomics, and especially the interpretation of the sequence information in the biological context, demands for intuitive, flexible, and extendable solutions.ResultsThe JCoast software tool was primarily designed to analyse and compare (meta)genome sequences of prokaryotes. Based on a pre-computed GenDB database project, JCoast offers a flexible graphical user interface (GUI), as well as an application programming interface (API) that facilitates back-end data access. JCoast offers individual, cross genome-, and metagenome analysis, and assists the biologist in exploration of large and complex datasets.ConclusionJCoast combines all functions required for the mining, annotation, and interpretation of (meta)genomic data. The lightweight software solution allows the user to easily take advantage of advanced back-end database structures by providing a programming and graphical user interface to answer biological questions. JCoast is available at the project homepage.


Nucleic Acids Research | 2010

Megx.net: integrated database resource for marine ecological genomics

Renzo Kottmann; Ivalyo Kostadinov; Melissa B. Duhaime; Pier Luigi Buttigieg; Pelin Yilmaz; Wolfgang Hankeln; Jost Waldmann; Frank Oliver Glöckner

Megx.net is a database and portal that provides integrated access to georeferenced marker genes, environment data and marine genome and metagenome projects for microbial ecological genomics. All data are stored in the Microbial Ecological Genomics DataBase (MegDB), which is subdivided to hold both sequence and habitat data and global environmental data layers. The extended system provides access to several hundreds of genomes and metagenomes from prokaryotes and phages, as well as over a million small and large subunit ribosomal RNA sequences. With the refined Genes Mapserver, all data can be interactively visualized on a world map and statistics describing environmental parameters can be calculated. Sequence entries have been curated to comply with the proposed minimal standards for genomes and metagenomes (MIGS/MIMS) of the Genomic Standards Consortium. Access to data is facilitated by Web Services. The updated megx.net portal offers microbial ecologists greatly enhanced database content, and new features and tools for data analysis, all of which are freely accessible from our webpage http://www.megx.net.


Nucleic Acids Research | 2006

Megx.net—database resources for marine ecological genomics

Thierry Lombardot; Renzo Kottmann; Hauke Pfeffer; Michael Richter; Hanno Teeling; Christian Quast; Frank Oliver Glöckner

Marine microbial genomics and metagenomics is an emerging field in environmental research. Since the completion of the first marine bacterial genome in 2003, the number of fully sequenced marine bacteria has grown rapidly. Concurrently, marine metagenomics studies are performed on a regular basis, and the resulting number of sequences is growing exponentially. To address environmentally relevant questions like organismal adaptations to oceanic provinces and regional differences in the microbial cycling of nutrients, it is necessary to couple sequence data with geographical information and supplement them with contextual information like physical, chemical and biological data. Therefore, new specialized databases are needed to organize and standardize data storage as well as centralize data access and interpretation. We introduce Megx.net, a set of databases and tools that handle genomic and metagenomic sequences in their environmental contexts. Megx.net includes (i) a geographic information system to systematically store and analyse marine genomic and metagenomic data in conjunction with contextual information; (ii) an environmental genome browser with fast search functionalities; (iii) a database with precomputed analyses for selected complete genomes; and (iv) a database and tool to classify metagenomic fragments based on oligonucleotide signatures. These integrative databases and webserver will help researchers to generate a better understanding of the functioning of marine ecosystems. All resources are freely accessible at .


Standards in Genomic Sciences | 2010

Meeting Report: BioSharing at ISMB 2010

Dawn Field; Susanna Sansone; Edward F. DeLong; Peter Sterk; Iddo Friedberg; Pascale Gaudet; Susanna Lewis; Renzo Kottmann; Lynette Hirschman; George M Garrity; Guy Cochrane; John Wooley; Folker Meyer; Sarah Hunter; Owen White; Brian Bramlett; Susan K. Gregurick; Hilmar Lapp; Sandra Orchard; Philippe Rocca-Serra; Alan Ruttenberg; Nigam H. Shah; Chris F. Taylor; Anne E. Thessen

This report summarizes the proceedings of the one day BioSharing meeting held at the Intelligent Systems for Molecular Biology (ISMB) 2010 conference in Boston, MA, USA This inaugural BioSharing event was hosted by the Genomic Standards Consortium as part of its M3 & BioSharing special interest group (SIG) workshop. The BioSharing event included invited talks from a range of community leaders and a panel discussion at the end of the day. The panel session led to the formal agreement among community leaders to join together to promote cross-community knowledge exchange and collaborations. A key focus of the newly formed Biosharing community will be linking up resources to promote real-world data sharing (virtuous cycle of data) and supporting compliance with data policies through the creation of a one-stop-portal of information. Further information about the newly established BioSharing effort can be found at http://biosharing.org.


Research in Microbiology | 2010

Microbiological Common Language (MCL): a standard for electronic information exchange in the Microbial Commons

Bert Verslyppe; Renzo Kottmann; Wim De Smet; Bernard De Baets; Paul De Vos; Peter Dawyndt

Although Biological Resource Centers (BRCs) traditionally have open catalogs of their holdings, it is quite cumbersome to access meta-information about microorganisms electronically due to the variety of access methods used by those catalogs. Therefore, we propose Microbiological Common Language (MCL), aimed at standardizing the electronic exchange of meta-information about microorganisms. Its application ranges from representing the online catalog of a single collection to accessing the results of StrainInfo integration and ad hoc use in other contexts. The abstract model of the standard precisely defines the elements of the standard, which enables implementation using a variety of representation technologies. Currently, XML and RDF/XML implementations are readily available. MCL is an open standard, and therefore greatly encourages input from the microbiological community.


Comparative and Functional Genomics | 2005

eGenomics: Cataloguing Our Complete Genome Collection III

Dawn Field; George M Garrity; Tanya Gray; Jeremy D. Selengut; Peter Sterk; Nicholas R. Thomson; Tatiana Tatusova; Guy Cochrane; Frank Oliver Glöckner; Renzo Kottmann; Allyson L. Lister; Yoshio Tateno; Robert Vaughan

This meeting report summarizes the proceedings of the “eGenomics: Cataloguing our Complete Genome Collection III” workshop held September 11–13, 2006, at the National Institute for Environmental eScience (NIEeS), Cambridge, United Kingdom. This 3rd workshop of the Genomic Standards Consortium was divided into two parts. The first half of the three-day workshop was dedicated to reviewing the genomic diversity of our current and future genome and metagenome collection, and exploring linkages to a series of existing projects through formal presentations. The second half was dedicated to strategic discussions. Outcomes of the workshop include a revised “Minimum Information about a Genome Sequence” (MIGS) specification (v1.1), consensus on a variety of features to be added to the Genome Catalogue (GCat), agreement by several researchers to adopt MIGS for imminent genome publications, and an agreement by the EBI and NCBI to input their genome collections into GCat for the purpose of quantifying the amount of optional data already available (e.g., for geographic location coordinates) and working towards a single, global list of all public genomes and metagenomes.


Standards in Genomic Sciences | 2014

Genomic Standards Consortium Projects

Dawn Field; Peter Sterk; Renzo Kottmann; J. Wim De Smet; Linda A. Amaral-Zettler; Guy Cochrane; James R. Cole; Neil Davies; Peter Dawyndt; George M Garrity; Jack A. Gilbert; Frank Oliver Glöckner; Lynette Hirschman; Hans-Peter Klenk; Rob Knight; Nikos C. Kyrpides; Folker Meyer; Ilene Karsch-Mizrachi; Norman Morrison; Robert J. Robbins; Inigo San Gil; Susanna Sansone; Lynn M. Schriml; Tatiana Tatusova; Dave Ussery; Pelin Yilmaz; Owen White; John Wooley; Gregory Caporaso

The Genomic Standards Consortium (GSC) is an open-membership community that was founded in 2005 to work towards the development, implementation and harmonization of standards in the field of genomics. Starting with the defined task of establishing a minimal set of descriptions the GSC has evolved into an active standards-setting body that currently has 18 ongoing projects, with additional projects regularly proposed from within and outside the GSC. Here we describe our recently enacted policy for proposing new activities that are intended to be taken on by the GSC, along with the template for proposing such new activities.


GigaScience | 2014

The founding charter of the Genomic Observatories Network

Neil Davies; Dawn Field; Linda A. Amaral-Zettler; Melody S. Clark; John Deck; Alexei J. Drummond; Daniel P. Faith; Jonathan B. Geller; Jack A. Gilbert; Frank Oliver Glöckner; Penny R. Hirsch; Jo-Ann Leong; Christopher P. Meyer; Matthias Obst; Serge Planes; Chris Scholin; Alfried P. Vogler; Ruth D. Gates; Rob Toonen; Véronique Berteaux-Lecellier; Michèle Barbier; Katherine Barker; Stefan Bertilsson; Mesude Bicak; Matthew J. Bietz; Jason Bobe; Levente Bodrossy; Ángel Borja; Jonathan A. Coddington; Jed A. Fuhrman

The co-authors of this paper hereby state their intention to work together to launch the Genomic Observatories Network (GOs Network) for which this document will serve as its Founding Charter. We define a Genomic Observatory as an ecosystem and/or site subject to long-term scientific research, including (but not limited to) the sustained study of genomic biodiversity from single-celled microbes to multicellular organisms.An international group of 64 scientists first published the call for a global network of Genomic Observatories in January 2012. The vision for such a network was expanded in a subsequent paper and developed over a series of meetings in Bremen (Germany), Shenzhen (China), Moorea (French Polynesia), Oxford (UK), Pacific Grove (California, USA), Washington (DC, USA), and London (UK). While this community-building process continues, here we express our mutual intent to establish the GOs Network formally, and to describe our shared vision for its future. The views expressed here are ours alone as individual scientists, and do not necessarily represent those of the institutions with which we are affiliated.

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Peter Sterk

Wellcome Trust Sanger Institute

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Guy Cochrane

European Bioinformatics Institute

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