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RMSS 2017

Research MIMOmics Summer School 2017

including

Workshop in Omic Studies

Cambridge, UK
20-27 August 2017
Apply for Summer School (incl workshop) for free
For students only
20-27 August
CLOSED

About

20-27 August 2017
A week of free training in omic sciences

The aim of this Research MIMOmics Summer School including the Workshop in Omic Studies is to train a new generation of statistical omics scientists of the biological and technological background for data measurements and for data analysis methodologies. It is intended for anyone with interest to apply modern methods on these data.

The summer school and the workshop consist of 2 parts:

  1. The workshop in omic studies where state of the art epidemiology methods and bioinformatics applications will be given by renowned scientists of MIMOmics (www.mimomics.eu). Students will have the opportunity to familiarize themselves  with omics and statistical technologies.

  2. The Summer School where hands-on training and research projects will be provided for small groups of students (2-4). Students will be able to choose from a series of research projects.

A top-line agenda of the school is as follows:

  • 0.5 day introduction for the students on Sunday and start of workshop,

  • 2.5 days the Dissemination workshop for broader public,

  • 0.5 day off, and

  • 3.5 days summer school.

 

The registration to the Workshop in Omic Sciences is FREE and can be found here. Students participating in the Summer School do not need to register separately for the Workshop.

The registration to the summer school is FREE. Information about travelling and accommodation can be found below

MIMOmics provides funds for a number of travel scholarships (7) to help defray costs of school participation. Participants will be provided with certificate of participation.

 

About
Location

Location

Speakers
Program

PROGRAM

Sunday, Aug 20, 2017

14:00 Welcome and Student Registration
14:15 Jeanine J. Houwing-Duistermaat - Introduction to MIMOmics
14:45 Lucija Klarić -  Introduction to N-glycomics
15:15 Pietro Lio' - Combining Machine Learning and Bioinformatics

15:45 Break
16:00 Introduction to Projects (for students)

17:15 Reception Drinks

Monday, Aug 21, 2017

09:30 Krista Fischer - Personalized Prediction of the Risk of Common Complex Diseases: Some Statistical Aspects

10:15 Dario Greco - Systems Biology Approaches to Nanotoxicology

11:00 Break

11:30 Simon Rogers - Decomposing Metabolomics Mass Spectrometry Data with Topic Models

12:15 Susan Wopenreis - Data Integration and Phenotypic Flexibility

13:00 Lunch

14:30 Syed Haider - Integrating Multi-omic Datasets for Biomarker Discovery

15:15 Korbinian Strimmer - A New Look at Omics Data Integration From an Entropy and Network Perspective

16:00 Break

16:30 Caroline Hayward- Analysis of Data  from Electronic Health Records in Generation Scotland

Tuesday, Aug 22, 2017

09:30 Ettore Mosca - Network Propagation 

10:15 Paolo Vineis - The Exposome in Epidemiological Practice

11:00 Break

11:30 Nuala Sheehan - Pedigree Reconstruction from Genetic Marker Data

12:15 Gastone Castellani - Big Data and Neural Networks 

13:00 Lunch (Students Choose Projects)

14:30 Philip Stegmaier - Integrated Analysis of Omic Data

15:15 Sergio Bacallado - Bayesian Nonparametric Approaches for Integrating Multiomic Data in Microbiome Studies

16:00 Break

16:30 John Reid - Clusternomics: Integrative Context-Dependent Clustering for Heterogeneous Datasets

Wednesday, Aug 23, 2017

09:30 Paolo Zuliani - Automated Reasoning for Systems Biology

10:15 Sara Jane Dunn - From Software Verification to Reprogramming Cells

11:00 Break

11:30 William Wang - Genomics at ARM

12:15 Conclusions

13:00 Lunch (Assign Students to Projects)

19:00 Summer School Dinner

Thursday, Aug 24, 2017

09:30 Summer School Projects

14:30 Lennart Karssen  - Good Practice and Reproducible Research

Friday, Aug 25, 2017

09:30 Summer School Projects

Saturday, Aug 26, 2017

09:30 Summer School Projects

Sunday, Aug 27, 2017

09:30 Presentation of Summer School Projects

When
August 21 - 23, 2017
Where
William Gates Building,
William Gates Building, 15 JJ Thomson Ave, Cambridge CB3 0FD, UK

Workshop Registration

(Students participating in the Summer School do not need to register separately)

Workshop Registration

Projects 

(Displayed dates denote time of upload)
Projects

Application For Students (Closed)

How to Apply

Applications are now closed!

Apply by submitting the following:

  • CV (LastName_FirstName_CV),

  • motivational letter (LastName_FirstName_ML), and

  • recommendation letter (LastName_FirstName_RL) 

to the email address: MIMOmicsUCam@gmail.com.

 

You can also apply by uploading the above files using the following button:

 

 

 

Upon confirmation of receipt, candidate participants will be kindly invited for a Skype interview.


The application deadline is now closed.

Note: All participants will be required to bring their own laptops.

Application

Staff

Proud to bring together scientists from across Europe
Staff

Important Dates

Mar 20, 2017: Opening date of RMSS 2017 applications
Aug 20, 2017: Start of RMSS 201
  • Sunday: Introduction lectures and projects description
  • Monday: Invited lectures
  • Tuesday: Invited lectures and choice of projects
  • Wednesday: Invited lectures (half day)
  • Thursday - Saturday: Summer School
  • Sunday: Project presentation
Aug 27, 2017: Ending of RMSS 2017
Important Dates
Accommodation and Travel

Accommodation and Traveling

Accommodation options
In colleges:

Probably the best options for accomodation are provided by colleges. Almost all of the other colleges are within walking distance of the William Gates Building, and most offer accomodation. In particular, some of the closest are:

  • Churchill

  • Robinson

  • Selwyn

Rooms in other colleges can also be found via www.universityrooms.com
 

Hotels:
Hotels in Cambridge are mainly in the centre. Some of the biggest are the Hilton, the Royal Cambridge Hotel, and Hotel du Vin.
Travel
Around Cambridge:

Cambridge is small enough that walking and cycling are normally the best ways to get around. There is very little parking so driving is not recommended, but the taxis are good, and there are regular buses.

Arriving by plane:

Stansted Airport is the closest major airport, an approx. 40 minute train journey away from Cambridge. From other airports the best options is to go to London and take the train from King's Cross.

Arriving by train:

Cambridge Railway Station is around an hour from London King's Cross or Liverpool Street, or 40 minutes from Stansted Airport. From the station it is best to take a taxi or the Uni 4 bus.

Arriving by car:

Cambridge is about an hour's drive from London, just off the M11 motorway.

Gallery

Gallery
Material

Material

Contact Details

Contact us

Via Facebook:

Like our Facebook page and send us personal messages. 

Via e-mail:

Contact us by e-mail at: mimomicsucam@gmail.com

Via online form:

Use the online form below

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Sponsors

Sponsors

William Gates Building, 15 J.J. Thomson Avenue Cambridge CB3 0FD

RMSS 2017

This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 305280

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