February 2017 - BBClist - maillist.psb.ugent.be

Bioinformatics position available at the Erasmus MC Cancer Computational Biology Center
by Harmen van de Werken 04 Oct '19

04 Oct '19

A bioinformatics position is currently available at the Erasmus MC Cancer Computational Biology Center. http://www.erasmusmc.nl/vacature/?num=21578 Please apply, if you are enthusiastic and eager to improve our knowledge on cancer biology. Harmen van de Werken

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Honory Doctorate Peer Bork
by Breukelen, B. van (Bas) 28 Feb '17

28 Feb '17

Honory Doctorate Peer Bork Read online<http://faculteitbetawetenschap.m12.mailplus.nl/txt31464944/BCbLAWe8kxYuaKB> [Utrecht Bioinformatics Center] [http://images.m13.mailplus.nl/user2110345/283/header_ubc.jpg] Dear Sir/Madam, The Utrecht Bioinformatics Center is very proud to announce that Professor Peer Bork will be receiving an Honorary Doctorate on the occasion of Utrecht University’s Dies Natalis. [http://images.m12.mailplus.nl/mailing31464944/500_fotopeerborkliggendklein.… Bork is a pioneering bioinformatics researcher. He has developed widely used bioinformatic tools and databases. These tools and databases have allowed him to exploit massive DNA databases to make fundamental discoveries in evolution and protein biochemistry. Today, Peer Bork works on understanding microbial ecosystems like the human microbiome and the world’s oceans. He has co-authored over 500 research articles in the broad area of computational biology and biomedical systems analysis, of which more than 60 were published in Nature, Science, and Cell. He co-founded five biotech companies, two of which went public. Professor Peer Bork is Senior group leader and Strategic Head of Bioinformatics, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany. The Utrecht Bioinformatics Center cordially invites you to join the Dies Natalis ceremony as well as the seminar by Peer Bork. Best wishes, Prof. Berend Snel Register to attend the Dies Natalis<http://faculteitbetawetenschap.m12.mailplus.nl/nct37196367/BCbLAWe8kxYuaKB> » UBC seminar Peer Bork What is the current vision of Peer Bork on bioinformatics? Come and learn about Peer’s most recent research in this unique UBC seminar, entitled ‘Microbiome analysis of the human gut and the ocean’. Read more and register<http://faculteitbetawetenschap.m12.mailplus.nl/nct37196368/BCbLAWe8kxYuaKB> » UBC Master class Peer Bork How to build a scientific career in bioinformatics? Ask Peer Bork about his experience on career opportunities, publishing and science in general to help you start your scientific career. Please submit your questions using the registration form. Read more and register<http://faculteitbetawetenschap.m12.mailplus.nl/nct37196369/BCbLAWe8kxYuaKB> » [http://images.m12.mailplus.nl/mailing31464944/ubcvierlogos.png] Contact Unsubscribe<mailto:c.j.nijenhuis@uu.nl?subject=Unsubcribe%20from%20newsletter&body=Dear%20sir%2Fmadam%2C%0A%0AI%20would%20like%20to%20unsubscribe%20from%20the%20UBC%20newsletter.> ubc.uu.nl<http://faculteitbetawetenschap.m12.mailplus.nl/nct37196370/BCbLAWe8kxYuaKB> Bas. van Breukelen, PhD Assistant Professor, Biomolecular Mass Spectrometry and Proteomics | http://www.hecklab.com | Utrecht University Coordinator Bioinformatics | Utrecht Bioinformatics Center (UBC) | http://ubc.uu.nl | Utrecht University Hugo R. Kruytbuilding | Room O605 | Padualaan 8 | 3584 CH Utrecht | T +31(0)30253 9761 | M +31(0)6 42222520 | b.vanbreukelen(a)uu.nl<mailto:b.vanbreukelen@uu.nl> [cid:38CC9422-3A73-459B-A49F-56F402CA1718@arnhem.chello.nl]

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[Gtpb] RNAseq hands-on training course announcement
by Pedro L. Fernandes 25 Feb '17

25 Feb '17

ANNOUNCEMENT ADER17 Analysis of Differential Expression with RNAseq with Daniel Sobral, Daniel Faria and Mauro Truglio The GTPB is proud to announce that the above referenced hands-on training course is open for applications Important dates IMPORTANT DATES for this Course Deadline for applications: April 10th 2017 Course dates: April 17th - April 20th 2017 Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. High-throughput technologies allow us to detect transcripts present in a cell or tissue. This course covers practical aspects of the analysis of differential gene expression by RNAseq. Participants will be presented with real world examples and work with them in the training room, covering all the steps of RNAseq analysis, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. We we will also cover some of the initial steps of secondary analysis, such as functional enrichment of the obtained gene lists. http://gtpb.igc.gulbenkian.pt/bicourses/ADER17/ Hoping that this course meets your interests, Pedro Fernandes -- Pedro Fernandes Bioinformatics Training Coordinator Instituto Gulbenkian de Ciência Apartado 14 2781-901 OEIRAS PORTUGAL Tel +351 21 4407912 http://gtpb.igc.gulbenkian.pt _______________________________________________ GTPB mailing list GTPB(a)igc.gulbenkian.pt https://lists.igc.gulbenkian.pt/mailman/listinfo/gtpb

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postdoc position in Liège
by Gilles Vandewalle 24 Feb '17

24 Feb '17

Dear all, The Sleep Research Group of the University of Liège opens a position for a postdoctoral scientist in bioinformatics. The postdoc will be involved in modeling large genomic data sets to predict cognitive phenotypes in aging that would be related to sleep-wake traits. More details here: http://www.nature.com/naturejobs/science/jobs/603467-postdoctoral-position-… Best regards, Gilles Vandewalle -- Gilles Vandewalle, PhD FNRS Research Associate Sleep Research Group GIGA-Research CRC-In Vivo Imaging Unit Bâtiment B30, Université de Liège 4000 Liege, Belgium gilles.vandewalle(a)ulg.ac.be +32-4366-2367 http://www.giga.ulg.ac.be/sleep

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Still seats available: BioSB Course Programming in Matlab (2nd edition), 13 March 2017, Wageningen
by Femke Francissen 24 Feb '17

24 Feb '17

You can still register for the 1-day BioSB Course: Programming in Matlab on March 13, in Wageningen. Find more information about the course in the announcement below! -------------------- ** *BioSB Course Programming in Matlab, 13 March 2017, Wageningen* *Website: *http://biosb.nl/education/course-portfolio-2/course-matlab/ *Coordinators: *Hans Stigter (WUR), Celia van Gelder (BioSB, celia.van.gelder(a)dtls.nl) *Registration: *http://biosb.nl/education/course-portfolio-2/c ourse-matlab/enrollment-course-matlab/ *Please note that if you are (or become) a member of BioSB <http://biosb.nl/about/members/biosb-membership-information/> this course is free of charge for PhD students and with reduced fee for other researchers!* *Goal* The main goal of this course is to get acquainted with Matlab software for use within Systems Biology. After this introductory course you will have gained the basic knowledge to pursue further use via self-study of Matlab in order to apply more advanced programming techniques within Matlab in your own research. In summary, the sub-goals are: 1. To learn the philosophy behind Matlab and its syntax 2. To program simple Systems Biology models in Matlab (in ordinary differential equation format) and to solve these differential equations with Matlab *Target audience* Primarily targeting researchers from academia, but participants from the private sector are also welcome. The course focusses on the use of Matlab for building dynamic Systems Biology Models in terms of ordinary differential equations. *Course Description* This is a one-day introduction to the possibilities of Matlab as a programming environment for simulation and analysis of biological models. We will start with a simple introduction of the basics of Matlab (matrices, vectors, manipulation of matrices and presentation of data). Having obtained some basic programming knowledge (writing of simple scripts and functions in Matlab), we will move on to more advanced topics. These include programming and solving ordinary differential equation models (ODEs) and the concept of “vectorized thinking” while writing Matlab-code. Finally, calibration of parameters in ODE type of models using measured data will be discussed and examples will be given. The course also includes the basics of presenting your results (graphing) in various types of plots that can easily be drawn in Matlab. Participants will, of course, get hands-on experience with Matlab and write code themselves in a practical. *Programme* 09:45 Coffee/Tea 10:00 Welcome 10:05 Introduction Matlab Basics (functions, variables, matrices, etc) 10:45 Advanced Programming (vectorised thinking, solving dynamic ordinary differential equation models in Matlab, parameter estimation for ODE-models) 12:00 Afternoon: Solving basic and advanced problems in Matlab – hands-on experience on a PC. Exercises will be provided, but you can also bring your own problems that you have encountered in your own research. 12:30 Lunch 15:00 Coffee/tea 16:30 End *BioSB Education Programme* This course is part of the Education Programme of BioSB, the Netherlands Bioinformatics and Systems Biology Research School, which offers training and education in bioinformatics and systems biology. More information about BioSB can be found at www.biosb.nl or via education(a)biosb.nl. ** **

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NEW advanced bachelor program bioinformatics in Bruges (Belgium) (60 ECTS)
by Demeyere Mieke 23 Feb '17

23 Feb '17

Dear Madam/Sir Just 10 years ago, we (the University of Applied Sciences, Howest in Bruges, Belgium) have introduced in our Biomedical Laboratory Sciences program the option (or a major) in bioinformatics. Still, we understand from our (international) partners of the working field that the need of laboratory workers with bioinformatics skills is still growing. Therefore we have transformed our major into an advanced bachelor program that has been certified by the Flemish (or Belgian) government. In this way, we educate graduates with experience in "wet lab" techniques to solve biological problems by means of computational techniques. As the interest from abroad in our education programme keeps growing, we have decided to teach our bioinformatics advanced bachelor's program in English, starting next year. As our program is open to students from all over the world, we would like to give you some more details about our advanced bachelor program in bioinformatics. To be able to work in a "dry lab", we focus on three main topics: informatics, bioinformatics and programming. Within the field of informatics, the student learns to work on a Unix system, to store biological data and to analyse large datasets using data mining techniques. Second, the "dry lab" technician becomes familiar with comparative genomics, structural bioinformatics, systems biology and the analysis of high-throughput experimental data. In the last important topic, programming skills are introduced to create web applications, to script bioinformatics pipelines and to perform statistical analysis in R. This short and intensive one year (!) program (60 ECTS) runs from the half of September to the end of June. It is open for every bachelor, master and PhD with a profound knowledge of molecular biology and an interest in (bio)informatics. To improve the studyability, the structure of the program is divided into three blocks of six weeks. All three main topics are covered during each block, with only three to four courses per block. The majority of the courses are taught by experts in the field and they all combine theory with practical exercises. After every block the courses are immediately assessed. The program includes an internship in a work placement during eight weeks, starting around the spring holidays (the middle of April). It can be performed in Belgium or abroad in the home country. An overview of the bioinformatics program can be found on our website: www.howest.be/bioinformatics<http://www.howest.be/bioinformatics>. We believe that with this extra bachelor degree, the graduate will be stronger and have more opportunities on the job market. Next to our program we will help the student around our city and country. Our student support services will help with the accommodation in the charming city of Bruges, also referred to as the "Venice of Belgium". Next to the many historical and architectural features, there is also for example a 'chocolate walk', a chocolate trail that goes past all of the finest chocolate shops in the city centre. [Bruges Belfry in the Evening as seen from the Dijver Canal] Students in Bruges enjoy preferred access to museums, classical and modern music concerts and sports facilities. Around the historical centre of the City of Bruges, students can enjoy a great social life. A broad range of restaurants with traditional and international cuisine, wine bars and pubs offers the students the opportunity to discover the city's multifaceted night life. Our student society AmiScientia will be happy to guide you. As for transportation, throughout all of the city centre, busses are available. But most of the students take a bike rental formula as the traffic is not that crowded. With easy train access in less than an hour travel time, other cool Belgian cities as Brussels, Ghent and Antwerp are to be discovered. But also Amsterdam, Paris and London are easy to get there. For more information, please do not hesitate to send an e-mail to blt(a)howest.be<mailto:blt@howest.be>. Kind regards Mieke Demeyere Opleidingscoördinator Biomedische Laboratoriumtechnologie Program Coordinator Advanced bachelor bio-informatics [howest international_transparant] Howest University of Applied Sciences Campus Rijselstraat Rijselstraat 5 - 8200 Brugge - Belgium Tel.: +32 50 38 12 77 Fax: +32 50 38 11 71 www.howest.be/blt<http://www.howest.be/blt> Denk aan het milieu vooraleer je dit bericht of de bijlagen uitprint!

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UHASSELT SEEKS TWO PHD STUDENTS IN STATISTICS OR STATISTICAL BIOINFORMATICS
by Dirk Valkenborg 22 Feb '17

22 Feb '17

Dear All, At the Center for Statistics, we have two job opening in the field of biostatistics and statistical bioinformatics. More information can be found below this email or at this link: http://www.uhasselt.be/vacancies_detail?taal=04 <http://www.uhasselt.be/vacancies_detail?taal=04&vacid=1209> &vacid=1209 Kind regards, Dirk Valkenborg Background www.ibiostat.be Job content As PhD student you will prepare a PhD in the fields of biostatistics, epidemiology, bioinformatics or mathematical statistics at the Center for Statistics (CenStat), the Hasselt entity of the Interuniversity Institute of Biostatistics and statistical Bioinformatics. Profile MSc in statistics, mathematics, computational biology (or equivalent) You are cooperative and can work well in teams. You have strong problem solving capacity. You are interested in doing research in statistics You are able to report clearly and regularly. You are fluent in written en oral communication. Good knowledge of English. Offer You will be appointed and paid as PhD student. 2 x 2 years with evaluation after 2 years. Selection procedure Preselection based on CV. Interview with the selected candidates.

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Introduction to Python for Biologists 10-14 April 2017
by Bert Overduin 20 Feb '17

20 Feb '17

To whom it may concern: >From 10-14 April 2017 we are again offering the Introduction to Python for Biologists course. The course will be taught by Martin Jones, founder of Python for Biologists ( http://pythonforbiologists.com/index.php/introduction-to-python-for-biologi…) and writer of several Python books. Apart from being one of the most popular programming languages for biologists, Python is also ideal to learn as your first programming language. So, whether you want to set your first steps on the programming path, or whether you just want to learn Python, this could be the course for you! More information about the course can be found below. With kind regards, Bert ********************************************************* INTRODUCTION TO PYTHON FOR BIOLOGISTS DATE: Monday 10 – Friday 14 April 2017 VENUE: The King's Buildings, The University of Edinburgh, Edinburgh, Scotland, UK REGISTRATION DEADLINE: Monday 27 March 2017 noon CANCELLATION DEADLINE: Monday 3 April 2017 noon PLACES: 20 (first come, first served) REGISTRATION FEE: £525 (includes coffee/tea, but no lunch) INFORMATION: Bert Overduin (bert.overduin(a)ed.ac.uk) Martin Jones ( martin(a)pythonforbiologists.com) TO REGISTER: http://genomics.ed.ac.uk/services/introduction-python- biologists Python is a dynamic, readable language that is a popular platform for all types of bioinformatics work, from simple one-off scripts to large, complex software projects. This workshop is aimed at complete beginners and assumes no prior programming experience. It gives an overview of the language with an emphasis on practical problem-solving, using examples and exercises drawn from various aspects of bioinformatics work. The workshop is structured so that the parts of the language most useful for bioinformatics are introduced as early as possible, and that students can start writing plausibly-useful programs after the first few sessions. After completing the workshop, students should be in a position to (1) apply the skills they have learned to tackling problems in their own research and (2) continue their Python education in a self-directed way. "Great learning from someone with a biology background rather than computer science - meant we were on the same wavelength." (February 2016) "Brilliantly well-run. From the book; to the USB stick with all the files we need; to the topics covered; to the system of helping us one-on-one, I cannot fault this course." (February 2016) INSTRUCTORS Dr. Martin Jones (Founder, Python for Biologists) Dr. Bert Overduin (Training and Outreach Bioinformatician, Edinburgh Genomics) WORKSHOP FORMAT The workshop is delivered over ten half-day sessions. Each session consists of roughly a one hour lecture followed by two hours of practical exercises, with breaks at the organiser’s discretion. Each session uses examples and exercises that build on material from the previous one, so it’s important that students attend all sessions. A description of the sessions can be found at the bottom of this page. WHO SHOULD ATTEND This workshop is aimed at researchers and technical workers with a background in biology who want to learn programming. The syllabus has been planned with complete beginners in mind; people with previous programming experience are welcome to attend as a refresher but may find the pace a bit slow. If in doubt, take a look at the detailed session content below or drop Martin Jones or Bert Overduin an email. REQUIREMENTS Students should have enough biological/bioinformatics background to appreciate the examples and exercise problems (i.e. they should know what a protein accession number, BLAST report, and FASTA sequence is). No previous programming experience or computer skills (beyond the ability to use a text editor) are necessary. During the workshop students will use their own laptops. Instructions for any software to be installed will be sent out prior to the course. SESSION CONTENT 1. Introduction In this session I introduce the students to Python and explain what we expect them to get out of it and how learning to program can benefit their research. I explain the format of the course and take care of any housekeeping details (like coffee breaks and catering arrangements). I outline the edit-run-fix cycle of software development and talk about how to avoid common text editing errors. In this session, we also check that the computing infrastructure for the rest of the course is in place (e.g. making sure that everybody has an appropriate version of Python installed). Core concepts introduced: source code, text editors, whitespace, syntax and syntax errors, Pythonversions 2. Manipulating text In this session students learn to write very simple programs that produce output to the terminal, and in doing so become comfortable with editing and running Pythoncode. This session also introduces many of the technical terms that we’ll rely on in future sessions. I run through some examples of tools for working with text and show how they work in the context of biological sequence manipulation. We also cover different types of errors and error messages, and learn how to go about fixing them methodically. Core concepts introduced: terminals, standard output, variables and naming, strings and characters, special characters, output formatting, statements, functions, methods, arguments, comments. 3. Working with files I introduce this session by talking about the importance of files in bioinformatics pipelines and workflows, and we then explore the Python interfaces for reading from and writing to files. This involves introducing the idea of types and objects, and a bit of discussion about how Python interacts with the operating system. The practical session is spent combining the techniques from session 2 with the file IO tools to create basic file- processing scripts. Core concepts introduced: objects and classes, paths and folders, relationships between variables and values, text and binary files, newlines. 4. Lists and loops A discussion of the limitations of the techniques learned in session 3 quickly reveals that flow control is required to write more sophisticated file-processing programs, and I introduce the concept of loops. We look at the way in which Python loops work, and how they can be used in a variety of contexts. We explore the use of loops and lists together to tackle some more difficult problems. Core concepts introduced: lists and arrays, blocks and indentation, variable scoping, iteration and the iteration interface, ranges. 5. Conditions I use the idea of decision-making as a way to introduce conditional tests, and outline the different building-blocks of conditions before showing how conditions can be combined in an expressive way. We look at the different ways that we can use conditions to control program flow, and how we can structure conditions to keep programs readable. Core concepts introduced: Truth and falsehood, Boolean logic, identity and equality, evaluation of statements, branching. 6. Writing functions We discuss functions that we’d like to see in Python before considering how we can add to our computational toolbox by creating our own. We examine the nuts and bolts of writing functions before looking at best-practice ways of making them usable. We also look at a couple of advanced features of Python - named arguments and defaults. Core concepts introduced: argument passing, encapsulation, data flow through a program. 7. Regular expressions I show how a range of common problems in bioinformatics can be described in terms of pattern matching, and give an overview of Pythons regex tools. We look at the building blocks of regular expressions themselves, and learn how they are a general solution to the problem of describing patterns in strings, before practising writing some specific examples of regular expressions. Core concepts introduced: domain-specific languages, modules and namespaces. 8. Dictionaries We discuss a few examples of key-value data and see how the problem of storing them is a common one across bioinformatics and programming in general. We learn about the syntax for dictionary creation and manipulation before talking about the situations in which dictionaries are a better fit that the data structures we have learned about thus far. Core concepts introduced: paired data types, hashing, key uniqueness, argument unpacking and tuples. 9. Working with the filesystem We discuss the role of Python in the context of a bioinformatics workflow, and how it is often used as a language to “glue” various other components together. We then look at the Python tools for carrying out file and directory manipulation, and for running external programs - two tasks that are often necessary in order to integrate our own programs with existing ones. Core concepts introduced: processes and subprocesses, the shell and shell utilities, program return values. 10. Final day The schedule for the final day will be set based on the progress of the course and the interests of the students. We will have time set aside for attendees to finish exercises, work on their own data, or get one-on-one help with real-world problems arising from their research. We may also use some of the time to cover more advanced topics of interest to the attendees, including BioPython, data visualisation, packaging and distributing code, and using alternative interfaces such as iPython. -- Bert Overduin, PhD TRAINING AND OUTREACH BIOINFORMATICIAN Bert.Overduin(a)ed.ac.uk orcid.org/0000-0002-5281-8838 EDINBURGH GENOMICS The University of Edinburgh Ashworth Laboratories The King's Buildings Charlotte Auerbach Road Edinburgh EH9 3FL Scotland, United Kingdom tel. +44(0)1316507403 http://genomics.ed.ac.uk The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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vacancy post-doc Project MinE whoe genome sequencing data
by Veldink, J.H. 17 Feb '17

17 Feb '17

Dear all, Attached a vacancy for a postdoc position at the Brain Center Rudolf Magnus, University Medical Center Utrecht. The direct link is: http://www.werkenbijumcutrecht.nl/vacatures/Paginas/postdoc-neurogenetics%2… Many thanks, best wishes Jan Veldink Jan H. Veldink, MD, PhD, neurologist | professor of neurology and neurogenetics | head human neurogenetics unit | University Medical Center Utrecht | Brain Center Rudolf Magnus | Department of Neurology | Huispostnummer F02.230, room Str.4.127 | Postbus 85500 | 3508 GA UTRECHT, The Netherlands | T +31 (0)88 75 57939 http://research.umcutrechthersencentrum.nl/whos-who/bio/jan-veldink-2/ | j.h.veldink(a)umcutrecht.nl<mailto:j.h.veldink@umcutrecht.nl> ------------------------------------------------------------------------------ De informatie opgenomen in dit bericht kan vertrouwelijk zijn en is uitsluitend bestemd voor de geadresseerde. Indien u dit bericht onterecht ontvangt, wordt u verzocht de inhoud niet te gebruiken en de afzender direct te informeren door het bericht te retourneren. Het Universitair Medisch Centrum Utrecht is een publiekrechtelijke rechtspersoon in de zin van de W.H.W. (Wet Hoger Onderwijs en Wetenschappelijk Onderzoek) en staat geregistreerd bij de Kamer van Koophandel voor Midden-Nederland onder nr. 30244197. Denk s.v.p aan het milieu voor u deze e-mail afdrukt. ------------------------------------------------------------------------------ This message may contain confidential information and is intended exclusively for the addressee. If you receive this message unintentionally, please do not use the contents but notify the sender immediately by return e-mail. University Medical Center Utrecht is a legal person by public law and is registered at the Chamber of Commerce for Midden-Nederland under no. 30244197. Please consider the environment before printing this e-mail.

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DTL Focus meeting: Creating a Bioinformatics and Data Stewardship Service Center - March 9, Utrecht
by Femke Francissen 13 Feb '17

13 Feb '17

*Don’t Reinvent the Wheel: Creating a Bioinformatics and Data Stewardship Service Center* Date: March 9, 2017 Time: 13:00 – 17:00 Venue: Stratenum, Vondelzaal (STR 3.108), Universiteitsweg 100, Utrecht Registration: Participation is free of charge but registration is required via the registration form <http://www.dtls.nl/events/dtl-focus-meeting-creating-bioinformatics-data-st…> Website: http://www.dtls.nl/events/dtl -focus-meeting-creating-bioinformatics-data-stewardship-service-center/ Over the last few years bioinformatics is becoming a commodity that is essential for modern-day biology and clinical research. As a result, many research institutes, ranging from UMCs, universities and research oriented companies are setting up ‘bioinformatics facilities’ that are aimed at delivering state-of-the-art bioinformatics services, consultancy on data management and stewardship, education, HPC coordination, and more. In this meeting we would like to establish a dialogue among the bioinformaticians that are involved in setting up and/or managing a bioinformatics facility in order to learn from each other what the best practices are and pitfalls that should be avoided. We will discuss concrete examples on what data analyses to offer and how to run them efficiently. An important goal of the meeting is to ensure we do not all develop different approaches to Data Stewardship and do not waste time re-inventing wheels. The Netherlands has one of the strongest bioinformatics communities in the world. Let’s help each other out. Will you join? *Programme:* 12:45 – 13:15 Registration with coffee/tea 13:15 – 13:30 Introduction by Jeroen de Ridder (UMC Utrecht) 13:30 – 14:00 Erik Schultes (DTL): ‘Tools and Training for making Data FAIR’ 14:00 – 14:30 Harmen van der Werken (Erasmus MC): 'Setting up Bioinformatics Service Centers; The Erasmus MC experience' 14:30 – 15:00 Jelle ten Hoeve (NKI): ‘Research IT at the Netherlands Cancer Institute’ 15:00 – 15:30 Coffee/tea break 15:00 – 15:30 Joep de Ligt (UMC Utrecht): ‘Setting up a UMCU bioinf expertise core’ 16:00 – 17:00 Moderated discussion (led by Rob Hooft (DTL)) 17:00 – 18:00 Drinks Workshop organiser: Jeroen de Ridder, UMC Utrecht More information about the meeting & registration via: http://www.dtls.nl/ev ents/dtl-focus-meeting-creating-bioinformatics-data-stewards hip-service-center/

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