- BBClist - maillist.psb.ugent.be

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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Lorentz workshop Life Sciences with Industry 2017 in Leiden: April 3 – 7, 2017 [Registration Open]
by Ertaylan Gökhan (MACSBIO) 13 Feb '17

13 Feb '17

Dear All, Please see below the invitation for the Lorentz workshop Life Sciences with Industry (LSwI) 2017: ************************************************************************************* We invite researchers (especially PhD students and postdocs) from all branches of the life sciences to participate in the one-week Lorentz workshop Life Sciences with Industry 2017 in Leiden: April 3 – 7, 2017. During the workshop, the about 24 participants will tackle in groups of eight, three scientifically challenging and commercially important problems formulated by the following three companies. Bejo Zaden B.V. Genomic selection, genome-wide selection or genomic prediction in vegetables BaseClear B.V. DNA data storage: reading and writing data in DNA in fast and cost-effective way Heineken Getting the taste of alcohol in alcohol-free drinks For a full description of these challenges see: https://www.lorentzcenter.nl/lc/web/2017/862/info.php3?wsid=862&venue=Snell… The workshop will take place in Leiden in the building of the Lorentz Center, an organisation that is specialised in organising scientific workshops (http://www.lorentzcenter.nl/) To create multi-disciplinary teams, participants will be selected based on their (i) specific background, (ii) motivation to participate, and (iii) date of registration (first come first served). Register on the workshop website:https://www.lorentzcenter.nl/lc/web/2017/862/registration.php3?wsid=862&venue=Snellius Deadline: Sunday March 19, 2017. Participation is free of charge, including hotel accommodation, lunches and two dinners during the workshop. The workshop is sponsored by the Lorentz Center, the Research School BioSB (http://biosb.nl/) NWO - Domain Applied and Engineering Sciences (http://www.stw.nl/) and the three companies involved. Need for more information? Contact (Gerda Filippo<mailto:filippo@lorentzcenter.nl>) at the Lorentz Center (phone +31 71 527 5401). We hope to welcome you on April 3rd 2017. the organisers: • Dr. Gökhan Ertaylan, MaCSBio, Maastricht University • Dr. Karen van Eunen, University of Groningen • Dr. Ellen Feddes, NWO-Domain Applied and Engineering Sciences, Utrecht • Prof. Dr. Bas Teusink, Vrije Universiteit Amsterdam • Prof. Dr. em. Roel van Driel, Universiteit van Amsterdam ************************************************************************************* Gökhan Ertaylan, PhD Maastricht Centre for Systems Biology (MaCSBio) - Maastricht University http://macsbio.maastrichtuniversity.nl/ Universiteitssingel 60, 6229 ER Maastricht • +31 (0) 43 38 81123 [cid:AD5B6BCD-6229-45A4-9606-B735CFDC8172@wireless.unimaas.local] [cid:C5024CF8-88BC-4C23-8AB4-4EC19083DB86@wireless.unimaas.local] This message is confidential and may contain privileged information. It is intended for the named recipient only. If you receive it in error please notify me and permanently delete the original message and any copies.

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BioSB 2017 - Extended abstract submission deadline: February 19
by Femke Francissen 13 Feb '17

13 Feb '17

*BioSB 2017 Conference* 4-5 April 2017 - Congrescentrum De Werelt, Lunteren, the Netherlands www.aanmelder.nl/biosb2017 BioSB 2017 is the 3rd edition of the Dutch Bioinformatics & Systems Biology conference. BioSB 2017 discusses the latest developments in bioinformatics, systems and computational biology and interrelated disciplines, and their wide-ranging applications in life sciences & health, agriculture, food & nutrition. *Extended abstract submission deadline for oral presentations: Feb 19th. One more week to submit your abstract!* We extended the abstract submission deadline for oral presentations for the BioSB 2017 conference with one week, to February 19th. Read more about the submission topics and the submission procedure here: https://www.aanmelder.nl/biosb2017/wiki/218444/abstract%20submission You can submit an abstract for an oral presentation or a poster/demo presentation in one of the parallel sessions of the conference. *Keydates* - 19 February 2017 - Extended abstract submission deadline oral presentations - 1 March 2017 - submission deadline call BioSB Young Investigator Award 2017 - 3 March 2017 - Notification date oral presentations - 20 March 2017 - abstract submission deadline for posters & demos *Contact & more information*You can find the latest conference updates at the conference website <http://www.aanmelder.nl/biosb2017>. Regular updates will also be sent via the BioSB mailing list. If you have any questions about the conference, please contact Femke Francissen, via femke.francissen(a)biosb.nl

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[Gtpb] Training course: Population Genetics and Demographic History: model-based approaches
by Pedro L. Fernandes 12 Feb '17

12 Feb '17

ANNOUNCEMENT / REMINDER PGDH17 Population Genetics and Demographic History: model-based approaches with Mark Beaumont, Lounès Chikhi, Willy Rodriguez, Barbara Parreira and Vitor Sousa The GTPB is proud to announce that the above hands-on training course is open for applications IMPORTANT DATES for this Course Deadline for applications: Mar 6th 2017 Course date: March 13th - March 17th 2017 Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. Please check the course website for details: http://gtpb.igc.gulbenkian.pt/bicourses/PGDH17/ Hoping that this course meets your interests, Pedro Fernandes -- Pedro Fernandes Instituto Gulbenkian de Ciência Apartado 14 2781-901 OEIRAS PORTUGAL Tel +351 21 4407912 http://gtpb.igc.gulbenkian.pt -- Pedro Fernandes Instituto Gulbenkian de Ciência Apartado 14 2781-901 OEIRAS PORTUGAL Tel +351 21 4407912 http://gtpb.igc.gulbenkian.pt

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[Gtpb] Training course: Population Genetics and Demographic History: model-based approaches
by Pedro L. Fernandes 11 Feb '17

11 Feb '17

ANNOUNCEMENT / REMINDER PGDH17 Population Genetics and Demographic History: model-based approaches The GTPB is proud to announce that the above hands-on training course is open for applications IMPORTANT DATES for this Course Deadline for applications: Mar 6th 2017 Course date: March 13th - March 17th 2017 Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. Please check the course website for details: http://gtpb.igc.gulbenkian.pt/bicourses/PDA17/ Hoping that this course meets your interests, Pedro Fernandes -- Pedro Fernandes 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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Vacancy Postdoc Tumor Genome Analysis
by Sie, Daud 10 Feb '17

10 Feb '17

Dear all, The department of Pathology at the VUmc Amsterdam is looking for a Postdoc in Cancer Genomics: https://www.werkenbijvumc.nl/vacatures/postdoc-tumor-genome-analysis/ Job description: Your work environment This Postdoc position is within the Tumor Genome Analysis Core laboratory, a dynamic research group in genomics that is supported by state-of-the-art data analysis and infrastructure for cancer research. Various fundamental- and translational genome research projects are aimed to provide cancer patients with optimal, individualized medical care. Within this Dutch Cancer Society / KWF funded project we specifically offer support, time and resources to create your own line of research. Our state-of-the-art accredited laboratory and genomics core is at your disposal, and is backed by the skillful bioinformatics research team of the Tumor Genome Analysis Core laboratory. Background info at http://www.tgac.nl/. Your challenge To complement our research team, we are looking for an independent post-doctoral research fellow that stands out in creativity and ambition. Your primary task is to resolve structure and clinical relevance of distinctive genomic rearrangements in cancer. To achieve this, the successful candidate will employ cell culture models, as well as investigate clinical specimens to further characterize these genomic rearrangements using various techniques, including FISH and Next Generation Sequencing (NGS). Your profile We are looking for a Postdoc who brings the following expertise: * University (PhD) education in (Bio)Medical and/or Life Sciences; * Excellent communication skills and proven scientific writing talent are a prerequisite for this position; * Wetlab skills are desirable; * You have affinity with (cancer) genomics and statistics; * You have some experience with scripting and/or programming and handling large amounts of (scientific) data; * You are a team player able to think outside the box. Interested? If you're interested about this position, please contact dr. Bauke Ylstra, professor in tumor genome analysis at +31 (0)20-4442495 or with Cees Knottnerus at +31 (0)20-4445635. You can apply till 22 February 2017. Kind regards, Daoud Sie, PhD Coordinator Genomics Research Facility VU University Medical Center Amsterdam - department of Pathology E: d.sie(a)vumc.nl P: +31204442428 Present: Mon/Tue/Wed/Fri De Boelelaan CCA-1.22, 1081 HV Amsterdam Mailing adress: Postbus 7057, 1007 MB Amsterdam www.vumc.com<http://www.vumc.com/> www.vumc.com/directions<http://www.vumc.com/directions> --------------------------------------------------- Disclaimer This e-mail is confidential and may contain information that is not intended for you. If you are not the addressee or if this message was sent to you by mistake, you are requested to inform the sender and delete the message. VU University Medical Center accepts no liability for damage of any kind resulting from the risks inherent in the electronic transmission of messages. ---------------------------------------------------

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BioSB Course Programming in Matlab (2nd edition), 13 March 2017, Wageningen
by Femke Francissen 10 Feb '17

10 Feb '17

*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/ course-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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