- BBClist - maillist.psb.ugent.be

Position for postdoc and PhD student
by AHC van Kampen 19 Jun '09

19 Jun '09

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PhD position in Gent
by Stefanie De Bodt 18 Jun '09

18 Jun '09

-- PhD student Systems Biology of Yield -- Job description: For our group, we are looking for enthusiastic PhD students in bioinformatics/systems biology. You will be involved in a project which is highly complementary to ongoing research in the group, where microarray, proteomics and interaction data related to growth control is generated. You will be responsible for the application and development of computational methods to analyze and integrate these data. You will collaborate with both experimental and computational biologists to obtain a systems-level understanding of leaf growth (http://www.psb.ugent.be/groups/systems-biology-of-yield-group) . Profile: • You have a degree in Bioinformatics, Informatics or in Biotechnology/ Biochemistry/Bioengineering. • You have a good knowledge/experience in programming (Perl, R, Java and/or C++). • You have knowledge or experience with databases (mySQL). • You have an interest in web design (PHP). • You speak English fluently. • You have good communication skills. You are a team player. You are independent and like to take initiative. You are flexible. We offer a contract of 2 years, within University Gent, with the possibility of prolongation. We offer a diverse job in a young team, an open and informal work atmosphere and in modern facilities. The Department of Plant Systems Biology, VIB, University Gent (www.psb.ugent.be) is an internationally renowned and dynamic research institute that employs molecular genetics, genomics and bioinformatics to unravel developmental processes in plants and is led by Prof. Dirk Inzé. Start date: as soon as possible, the position remains vacant until a suitable candidate is found. Information: Further information can be obtained by contacting Stefanie De Bodt (stefanie.debodt(a)psb.ugent.be) Application: Send your letter of motivation, your CV and if possible references to: Hilde Diegenant Department of Plant Systems Biology Technologiepark 927 9052 Gent Tel: +32 93313806 or through email to hilde.diegenant(a)psb.ugent.be -- ================================================================== Stefanie De Bodt, PhD VIB Department of Plant Systems Biology, UGent Technologiepark 927 B-9052 Gent Belgium Tel: 32 (0)9 3313692 Website: http://www.psb.ugent.be ==================================================================

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Final CFP Machine Learning in Systems Biology (deadline extended)
by Pierre Geurts 02 Jun '09

02 Jun '09

[apologies for multiple postings] Deadline for submission has been extended to ** FRIDAY, JUNE 12 ** ************************** Call for Papers ***************************** MLSB 09 Third International Workshop on Machine Learning in Systems Biology 5-6 September 2009, Ljubljana, Slovenia *********************************************************************** http://mlsb09.ijs.si/ MOTIVATION Molecular biology and all the biomedical sciences are undergoing a true revolution as a result of the emergence and growing impact of a series of new disciplines/tools sharing the "-omics" suffix in their name. These include in particular genomics, transcriptomics, proteomics and metabolomics, devoted respectively to the examination of the entire systems of genes, transcripts, proteins and metabolites present in a given cell or tissue type. The availability of these new, highly effective tools for biological exploration is dramatically changing the way one performs research in at least two respects. First, the amount of available experimental data is not a limiting factor any more; on the contrary, there is a plethora of it. Given the research question, the challenge has shifted towards identifying the relevant pieces of information and making sense out of it (a "data mining" issue). Second, rather than focus on components in isolation, we can now try to understand how biological systems behave as a result of the integration and interaction between the individual components that one can now monitor simultaneously (so called "systems biology"). Taking advantage of this wealth of "genomic" information has become a conditio sine qua non for whoever ambitions to remain competitive in molecular biology and in the biomedical sciences in general. Machine learning naturally appears as one of the main drivers of progress in this context, where most of the targets of interest deal with complex structured objects: sequences, 2D and 3D structures or interaction networks. At the same time bioinformatics and systems biology have already induced significant new developments of general interest in machine learning, for example in the context of learning with structured data, graph inference, semi-supervised learning, system identification, and novel combinations of optimization and learning algorithms. The Workshop is organized as "core - event" of Pattern Analysis, Statistical Modelling and Computational Learning - Network of Excellence 2 (PASCAL 2, http://www.pascal-network.org/) OBJECTIVE The aim of this workshop is to contribute to the cross-fertilization between the research in machine learning methods and their applications to systems biology (i.e., complex biological and medical questions) by bringing together method developers and experimentalists. We encourage submissions bringing forward methods for discovering complex structures (e.g. interaction networks, molecule structures) and methods supporting genome-wide data analysis. LOCATION AND CO-LOCATION The workshop will take place 5-6 September 2009 at the Jozef Stefan Institute, Ljubljana, Slovenia. It will immediately precede ECML PKDD 2009, taking place 7-11 September 2009 in Bled, Slovenia (Bled is 30 miles from Ljubljana, transport will be organized). SUBMISSIONS INSTRUCTIONS We invite you to submit an extended abstract of maximum 8 pages, formatted according to the Springer Lecture Notes in Computer Science style. Each extended abstract must be submitted online via the Easychair submission system: http://www.easychair.org/conferences/?conf=mlsb09 The extended abstracts will be reviewed by the scientific programme committee. The papers will be selected for oral or poster presentation according to their originality and relevance to the workshop topics. Electronic versions of the extended abstracts will be accessible to the participants prior to the conference and will be made publicly available on the conference web site after the conference. The accepted papers will be published in Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings (http://jmlr.csail.mit.edu/) KEY DATES ** 12 June ** deadline for submission of extended abstracts for oral presentation 03 July: notification for oral presentations 03 August: deadline for submission of abstracts for poster presentations 10 August: notification for posters & camera ready versions due 5-6 September: workshop TOPICS A non-exhaustive list of topics suitable for this workshop is given below: Methods Machine learning algorithms Bayesian methods Data integration/fusion Feature/subspace selection Clustering Biclustering/association rules Kernel methods Probabilistic inference Structured output prediction Systems identification Graph inference, completion, smoothing Semi-supervised learning Applications Sequence annotation Gene expression and post-transcriptional regulation Inference of gene regulation networks Gene prediction and whole genome association studies Metabolic pathway modeling Signaling networks Systems biology approaches to biomarker identification Rational drug design methods Metabolic reconstruction Protein function and structure prediction Protein-protein interaction networks Synthetic biology CONFIRMED INVITED SPEAKERS Ross D. King, Aberystwyth University, UK William Stafford Noble, University of Washington, USA Diego di Bernardo, University of Naples "Federico II", Italy MLSB09 PROGRAM CHAIRS Sašo Džeroski, Jozef Stefan Institute, Ljubljana, Slovenia Pierre Geurts, Department of EE and CS & GIGA-Research, University of Liège, Belgium Juho Rousu, Department of Computer Science, University of Helsinki, Finland SCIENTIFIC PROGRAM COMMITTEE Florence d'Alché-Buc, University of Evry, France Saso Dzeroski, Jozef Stefan Institute, Slovenia Paolo Frasconi, Università degli Studi di Firenze, Italy Cesare Furlanello, Fondazione Bruno Kessler, Trento, Italy Pierre Geurts, University of Liège, Belgium Mark Girolami, University of Glasgow, UK Dirk Husmeier, Biomathematics & Statistics Scotland, UK Samuel Kaski, Helsinki University of Technology, Finland Ross D. King, Aberystwyth University, UK Neil Lawrence, University of Manchester, UK Elena Marchiori, Vrije Universiteit Amsterdam, The Netherlands Yves Moreau, Katholieke Universiteit Leuven, Belgium William Stafford Noble, University of Washington, USA Gunnar Rätsch, FML, Max Planck Society, Tübingen Juho Rousu, University of Helsinki, Finland Céline Rouveirol, University of Paris XIII, France Yvan Saeys, University of Gent, Belgium Guido Sanguinetti, University of Sheffield, UK Ljupco Todorovski, University of Ljubljana, Slovenia Koji Tsuda, Max Planck Institute, Tuebingen Jean-Philippe Vert, Ecole des Mines, France Louis Wehenkel, University of Liège, Belgium Jean-Daniel Zucker, University of Paris XIII, France Blaz Zupan, University of Ljubljana, Slovenia LOCAL ORGANIZATION Ivica Slavkov, Dragi Kocev, Tina Anžič, Jozef Stefan Institute, Ljubljana, Slovenia

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Marie Curie PhD position Systems Biology on Flowering Network, Wageningen, The Netherlands
by Ham, Roeland van 01 Jun '09

01 Jun '09

PhD Systems Biology on Flowering Network Wageningen Universiteit & Research Centre, Plant Research International, Bioinformatics Wageningen (The Netherlands), 38 hours per week Reference number: 09.Biosc.08. Background: Wageningen University and Research Centre (WUR) is an internationally renowned knowledge institute in the fields of life sciences and sustainability. It makes an essential contribution to the quality of life through pioneering research and education. One of its research focal points is Systems Biology, and the Bioinformatics group has a strategic position within several of these systems biology approaches, with extensive collaborations both with experimental biology and mathematical groups within Wageningen UR. Recently, we obtained funding for an EU-funded Marie Curie PhD project, which applies systems biology to plant reproductive development. This project is highly complementary to ongoing projects in our group, which include bioinformatics analyses of protein-protein interactions of key players in this biological process, analysis of protein-DNA interactions, and application of modelling techniques to related systems such as floral organ development and the flowering transition. Job description: A position for a PhD is available in the Bioinformatics group at Plant Research International (WUR) to work on the Marie Curie project "SYSFLO" (Training in Systems Biology Applied to Flowering). This project involves collaboration with various European partners (9 PhDs in total, both experimental and computational), linking the capture of large-scale datasets to advanced computational analysis and modelling. The aim of the project is to apply systems biology to reproductive development in Arabidopsis. Laboratory-based groups will generate datasets covering e.g. spatial and temporal gene expression, network relations and chromatin accessibility. Together with other computational groups, the PhD will apply statistics, data mining and modelling in order to generate a network model. This will specifically involve 1) prediction and analysis of network interactions; and 2) computational modelling of network dynamics. Both tasks will be tightly linked to experimental data collection and will suggest validation experiments for the laboratory teams. Profile: We are looking for a communicative team player with: * A background (MsC) in computational biology, bioinformatics or related area (either biologically oriented with knowledge of mathematics or mathematics oriented with interest in biology) * Some knowledge of programming (e.g. Perl, Python or R) * The drive and skills to collaborate with both experimental and computational biologists to obtain a systems-level understanding of plant reproductive development * Good written and spoken command of English According to Marie Curie ITN rules, this position is open to all nationalities except Dutch nationals (for detailed eligibility criteria for recruitment see: ftp://ftp.cordis.europa.eu/pub/fp7/docs/fp7-mga-annex3intramulti_en.pdf <ftp://ftp.cordis.europa.eu/pub/fp7/docs/fp7-mga-annex3intramulti_en.pdf> ). Remuneration: a young, dynamic and driven bioinformatics group, focusing on computational challenges in a range of genomics and systems biology related topics; a state-of-the art computational infrastructure; close collaboration with laboratory biologists who have expert knowledge of the biological system, and with computational and mathematical experts, embedded in an international project. The position is available for 4 years, full time; this period should be finished with a PhD examination. After 12 months, the performance of the candidate will be evaluated to decide whether there is sufficient progress to expect a successful completion of the PhD thesis within the remaining period. Preferred starting date: 1 October 2009. Estimated maximum salary per month: EUR 2000 in the first year rising to EUR 2558 in the fourth year Information: dr. Aalt-Jan van Dijk, +31-317-480994, aaltjan.vandijk(a)wur.nl <mailto:aaltjan.vandijk@wur.nl> or dr. Roeland van Ham, +31-317-481053, roeland.vanham(a)wur.nl <mailto:roeland.vanham@wur.nl> . Application: Send your letter with CV and the names of two references before July 1st, 2009 to Mrs. Lydia Bikker, Plant Research International, Department Personnel & Organisation, P.O. Box 16, 6700 AA Wageningen, The Netherlands. E-mail: vacaturemeldingen.psg(a)wur.nl <mailto:lydia.bikker@wur.nl> . When applying for this job always mention the vacancy number 09.Biosc.08.

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2nd CfP: Computational Models for Cell Processes 2009
by Ion Petre 27 May '09

27 May '09

Second International Workshop on Computational Models for Cell Processes Eindhoven, the Netherlands, November 3, 2009 http://combio.abo.fi/compmod09/ In conjunction with Formal Methods 2009 -------------------------------------------------------------------- === Deadline for submissions: June 29, 2009 === === Proceedings will be published in the new EPTCS series === -------------------------------------------------------------------- THE MEETING ----------- Computational systems biology is an exciting new application area for applied mathematics and computer science. This workshop of the 16th International Symposium on Formal Methods fosters an excellent platform gathering researchers in formal methods and related fields that are interested in the wealth of opportunities and challenges in systems biology. SUBMISSIONS ----------- We seek papers and extended abstracts in all areas that relate to the relevance and potential of formal methods and computational modeling/simulation in systems biology. In particular, we welcome contributions that present biological processes requiring special computational and formal techniques that have not been investigated so far in the context of formal methods, as well as extensions of formal methods formalisms introduced to improve their applicability to biology. Topics of interest include, but are not limited to: - Formal models for cellular pathways - Qualitative biological modeling - Quantitative formal methods - Theoretical comparison of formalisms for biological processes - Biologically-inspired extensions to formal methods, concurrency theory, or logical methods - Differential, discrete and/or stochastic modeling languages - Reconstruction of biological networks based on empirical data - Decomposition and modularization of large biological networks - Applications of formal methods and computational modeling - Membrane systems as a modeling platform Authors are invited to submit extended abstracts or full papers of up to 15 pages formatted according to EPTCS guidelines. Electronic submissions should be formatted in PDF. Simultaneous submission to other conferences or workshops with published proceedings is not allowed. A special issue of a high-level international journal, based on the workshop, is planned after the workshop. INVITED SPEAKERS ---------------- - Jasmin Fisher (Microsoft Research Cambridge) - Hidde de Jong (INRIA Grenoble - Rhone-Alpes) - Grzegorz Rozenberg (University of Leiden) IMPORTANT DATES --------------- - Submission: June 29, 2009 - Notification: September 10, 2009 - Final version: October 1, 2009 - Workshop: November 2, 2009 PROGRAMME COMMITTEE ------------------- - Ralph Back, Abo Akademi, Finland - Lubos Brim, Masaryk University, Czech Republic - Muffy Calder, University of Glasgow, UK - Eugen Czeizler, Abo Akademi, Finland - Vincent Danos, University of Edinburgh, UK - Russ Harmer, University of Paris 7, France - Monika Heiner, Brandenburg University of Technology Cottbus, Germany - Jane Hillston, University of Edinburgh, UK - Ina Koch, Max Planck Institute for Molecular Genetics, Germany - Vincenzo Manca, University of Verona, Italy - Giancarlo Mauri, University of Milan-Bicocca, Italy - Satoru Miyano, University of Tokyo, Japan - Andrei Paun, Louisiana Tech University, US - Ion Petre, Abo Akademi, Finland - Jaco van de Pol, University of Twente, the Netherlands - Alberto Policriti, University of Udine, Italy - Erik de Vink, Eindhoven University of Technology, the Netherlands ORGANIZERS ---------- - Ion Petre, ipetre 'AT' abo.fi - Erik de Vink, evink 'AT' win.tue.nl - Ralph-Johan Back, backrj 'AT' abo.fi VENUE: Technische Universiteit Eindhoven, the Netherlands

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Fourth Summer school on Advanced Statistics and Data Mining (Madrid, July 6th-17th, 2009)
by Rubén Armañanzas 26 May '09

26 May '09

Dear colleagues, the Technical University of Madrid (UPM) organizes a summer school on "Advanced Statistics and Data Mining" in Madrid between July 6th and July 17th. The summer school comprises 18 courses divided in 2 weeks. Attendees may register in each course independently. Registration will be considered upon strict arrival order. For more information, please, visit http://www.dia.fi.upm.es/index.php?page=presentation&hl=es_ES Best regards. On behalf of the organizers, R. Armañanzas. *List of courses and brief description* Week 1 (July 6th - July 10th, 2009) Course 1: Bayesian networks (15 h). Practical sessions: Hugin, Elvira, Weka, LibB Bayesian networks basics. Inference in Bayesian networks. Learning Bayesian networks from data. Course 2: Multivariate data analysis (15 h). Practical sessions: MATLAB Introduction. Data Examination. Principal component analysis (PCA). Factor Analysis. Multidimensional Scaling (MDS). Correspondence analysis. Multivariate Analysis of Variance (MANOVA). Canonical correlation. Course 3: Dimensionality reduction (15 h). Practical sessions: MATLAB Introduction. Matrix factorization methods. Clustering methods. Projection methods. Applications. Course 4: Supervised pattern recognition (Classification) (15 h). Practical sessions: Weka Introduction. Assessing the Performance of Supervised Classification Algorithms. Classification techniques. Combining Classifiers. Comparing Supervised Classification Algorithms. Course 5: Introduction to MATLAB (15 h) Overview of the Matlab suite. Data structures and files. Programming in Matlab. Visualization tools. Some applications in pattern recognition. Course 6: Datamining: A practical perspective (15h). Practical sessions: MATLAB, R, Weka Introduction to Data Mining and Knowledge Discovery. Prediction in data mining. Classification. Association studies. Data mining in free-form texts: text mining. Course 7: Time series analysis (15 h). Practical sessions: MATLAB Introduction. Probability models to time series. Regression and Fourier analysis. Forecasting and Data mining. Course 8: Neural networks (15 h). Practical sessions: MATLAB Introduction to the biological models. Nomenclature. Perceptron networks. The Hebb rule. Foundations of multivariate optimization. Numerical optimization. Rule of Widrow-Hoff. Backpropagation algorithm. Practical data modelling with neural networks. Course 9: Introduction to SPSS (15 h) Introduction. Describing data. Statistical inference. Time series. Sampling. Classification and regression. Week 2 (July 13th - July 17th, 2009) Course 10: Regression (15 h). Practical sessions: SPSS Introduction. Simple Linear Regression Model. Measures of model adequacy. Multiple Linear Regression. Regression Diagnostics and model violations. Polynomial regression. Variable selection. Indicator variables as regressors. Logistic regression. Nonlinear Regression. Course 11: Practical Statistical Questions (15 h). Practical sessions: study of cases (without computer) I would like to know the intuitive definition and use of …: The basics. How do I collect the data? Experimental design. Now I have data, how do I extract information? Parameter estimation. Can I see any interesting association between two variables, two populations, …? How can I know if what I see is “true”? Hypothesis testing How many samples do I need for my test?: Sample size Can I deduce a model for my data? Other questions? Course 12: Missing data and outliers (15 h). Practical sessions: R Missing Data: Typology of missing data. Simple missing-data methods. Imputation Methods. Diagnostics and Overimputing. Outliers and robust statistics: Typology of outliers. Influence measures. Robust methods. Course 13: Hidden Markov Models (15 h). Practical sessions: HTK Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Course 14: Statistical inference (15 h). Practical sessions: SPSS Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrapping. Course 15: Features Subset Selection (15 h). Practical sessions: MATLAB, R, Weka Filter approaches. Wrapper methods. Embedded methods. Course 16: Introduction to R (15 h) An introductory R session. Data in R. Importing/Exporting data. Programming in R. R Graphics. Statistical Functions in R. Course 17: Unsupervised pattern recognition (clustering) (15 h). Practical sessions: MATLAB Introduction. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Course 18: Evolutionary computation (15 h). Practical sessions: MATLAB Genetic algorithms. Genetic programming. Robust and self-adapting intelligent systems. Introduction to Estimation of Distribution Algorithms. Improvements, extensions and applications of EDAs. Current research in EDAs.

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Reminder: Invitation VDI Technology Update
by Axio Systems 26 May '09

26 May '09

Open this mail in your browser: http://tools.emailgarage.com/Pub/jb8zBwAAAAA~/PT2g4LOWekagb5HE1l-ZgQ~~/Text… Technology Update: VDI May 28, 2009, MIRA Volkssterrenwacht http://tools.emailgarage.com/Pub/jb8zBwAAAAA~/D4Zru549AkquUNsVT9AaTw~~/Text…: May 28, 2009 Location: MIRA Volkssterrenwacht Abdijstraat 22, B-1850 Grimbergen Start Time: 13h00 Dear , Axio Systems and Sun Microsystems are pleased to invite you on our next half day Technology Update with focus on virtual desktop infrastructure (VDI). A virtual desktop infrastructure (VDI) provides greater efficiency and performance, centralized management, data protection, and better security. Please join us for an exclusive seminar on how you can make a 'Virtual Desktop Infrastructure' a 'Reality'. Agenda: 13h00: Registration 13h30: Welcome - Mr. Gert Van der Jeugt - Axio Systems 13h35: Sun Technology Update - Mr. Luc Opdebeeck - Sun Microsystems 13h50: The Sun VDI Solution: a technical overview - Mr. Jaap Romers - Sun Microsystems 15h00: Coffee Break 15h15: Desktop Virtualization: maximize the value of your virtualization strategy - Mr. Bert De Loose - VMware 16h15: Customer success story - Mr. Andy Barrett - Yuntaa 16h30: Guest Speaker: An infinate space trip with Frank De Winne - Mr. Philippe Mollet - Mira Volkssterrenwacht 17h00: Visit Mira Volkssterrenwacht 18h00: Drinks and Fingerfood Date: May 28, 2009, 13h00 -18h00 Location: Mira Volkssterrenwacht, Abdijstraat 22, B-1850 Grimbergen Don't miss this unique event and register now http://tools.emailgarage.com/Pub/jb8zBwAAAAA~/wGPmrDSi8E6eZLUu9fgdxA~~/Text… Please feel free to send this invitation to your colleagues as well. We are looking forward to meeting you there. Axio Systems NV • Neerhonderd 15 • B-9230 Wetteren • T. 09 365 45 45 • info(a)axio.be If you do not want to receive any emails on the products and services of Axio Systems, you can unsubscribe here http://tools.emailgarage.com/Pub/jb8zBwAAAAA~/CcqOeFV2qkWDOwcj2JKJvQ~~/Unsu…

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Positions, Bioinformatics for Proteomics, Utrecht University
by Dr. B. van Breukelen 25 May '09

25 May '09

The Biomolecular Mass Spectrometry and Proteomics Group (www.chem.uu.nl/bioms) at Utrecht University (www.uu.nl) is a state of the art laboratory at the core of the Netherlands Proteomics Centre (www.netherlandsproteomicscentre.nl) Our group has a focus on technology development, proteome research and quantitative proteomics, all together implementing a large variety of experimental approaches. With the development of high throughput approaches as well as an increase in data production a huge demand for solid bioinformatics has arisen. For our group we are looking for enthusiastic, Scientific programmers and PhD/PostDoc level bioinformaticians, who would like to work in a (small) group of bioinformaticians on building an automated mass spectrometry data analysis and processing pipeline. Within this project we are looking for people who can implement existing and novel algorithms and tools as well as bioinformaticians who would like to develop new approaches in data analysis for mass spectrometry. Our current projects have a focus on ad hoc bioinformatics (small projects to solve specific user/experimental challenges), de novo peptide/protein analysis, data (pre) processing, data annotation and quantitative proteomics approaches. Do you: Have a background in bioinformatics/biotechnology/proteomics Have Good knowledge/experience in programming (Java/Perl) Knowledge or Experience with databases (SQL) Knowledge or Experience with GRID computing Knowledge or Experience with Web services Are you flexible and a team player and do you like to work on several projects at the same time? Then we can offer you a 2 year position at our group (with the possibility of extending your contract for up to 4 years). For more information you can contact: Dr. Bas van Breukelen b.vanbreukelen(a)uu.nl +31(0)30 2539761 ======================= Dr. Ir. B. van Breukelen (PhD) Assist. Prof. (Bioinformatics) Biomolecular Mass Spectrometry and Proteomics Group. Utrecht University Padualaan 8, 3584 CH, Utrecht The Netherland. E: b.vanbreukelen(a)uu.nl T:+31(0)30 2539761 M:+31(0)6 24996046 bioms.science.uu.nl b.vanbreukelen (skype)

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positions in bioinformatics/metagenomics
by jeroen raes 19 May '09

19 May '09

Dear colleagues, friends, I have 3 job openings for enthusiastic PhD students and postdocs in my (new) lab (from sept 1st - see attachment) - would you be so kind to spread this in your group/lab/institute and/or forward it to potentially interested parties? Kind regards, Jeroen Raes ***************************************************************** Jeroen Raes, PhD EMBL - Computational Biology Unit (Bork group) http://www.embl.de/~raes/ *** New address from Sept 1st: *** VIB Dept of Molecular and Cellular Interactions, Vrije Universiteit Brussel, Brussels, Belgium http://www.vib.be/Research/EN/Research+Departments/Department+of+Molecular+… jeroen.raes [at] gmail.com *****************************************************************

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Second Next-Generation Sequencing Users Meeting, July 7th 2009
by NBIC Office 19 May '09

19 May '09

Dear colleague, Last year the first Dutch Next-Generation Sequencing (NGS) users meeting in Utrecht was a great success with more than 80 attendees and a lively discussion on all the ins and outs of this revolutionary new technology that affects many field in biology and medicine. Therefore, we have decided to broaden the initiative and to organize a follow-up to the 2008 meeting, now with the aim to include colleagues from Belgium and Luxemburg. In close collaboration with NBIC we are now organizing the second Benelux (Belgium-Netherlands-Luxemburg) NGS users meeting. The meeting will be held on July 7th 2009, at the Beatrix Theater in Utrecht. At this one-day annual meeting we expect approximately 200 scientists involved/interested in NGS to meet and discuss developments in the field, with a strong focus on practical issues like protocols, bioinformatics issues etc. In addition, a number of plenary presentations will be given by leading scientists in the field of NGS. This users meeting aims to bring together all scientist in the Netherlands that are working with any of the next-generation sequencing platforms, to exchange experiences, identify complementary interests and common problems and to enhance interaction between individuals at all levels. The primary focus of this meeting is on user experiences and networking, rather than scientific breakthroughs. The symposium is free for anyone interested, although registration <http://h094.niob.knaw.nl/symposium/NGS/register.html> is required. You are invited to submit a brief abstract to qualify for selection for oral presentation in one of the dedicated parallel sessions. Please check the website (http://h094.niob.knaw.nl/symposium/NGS) for more details on the program, location, and registration. To express the breadth of the application scope, the meeting will be supported and co-organised by the leading genomics initiatives in the Netherlands, including the Netherlands Cancer Genomics Centre (CGC), The Centre for BioSystems Genomics, the Centre for Medical Systems Biology (CMSB) and the Kluyver Centre for Genomics of Industrial Fermentation, all research centres under the Netherlands Genomics Initiative (NGI: www.genomics.nl) Please forward this email to anyone who might be interested in this meeting. For more information, please contact Edwin Cuppen (e.cuppen(a)niob.knaw.nl) Marc van Driel (marc.van.driel(a)nbic.nl) or Joris Veltman (j.veltman(a)antrg.umcn.nl)  On behalf of the organizers: Dr. Marc van Driel Bioinformatics Coordinator NBIC ************************************** NBIC Office Phone: +31 (0)24 36 19500 E-mail: office(a)nbic.nl Website: www.nbic.nl Netherlands Bioinformatics Centre 260 NBIC P.O. Box 9101 6500 HB Nijmegen Fax: +31 (0)24 36 19395 Visiting address: Geert Grooteplein 28, Route 260 6525 GA Nijmegen

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