General information
This course is co-organised by the NCCR in RNA & Disease members. Priority is given to its members, but is open to everyone.
Overview
Developments in high-throughput methods, particularly next generation sequencing technologies, have significantly impacted the field of RNA biology. To make sense of complex datasets that are nowadays commonly generated by most biology labs requires the use of robust computational methods to visualise and analyse results. Life scientists are therefore faced with an increasing need for bioinformatics skills to deal with high-throughput data storage, retrieval and analysis.
The aim of this two-day introductory workshop is to allow attendees to gain insight into basic computing techniques and their potential applications in RNA biology. This workshop, where theory alternates with hands-on practical exercises, has the long-term goal to prepare experimental-based scientists to better meet the challenge of data-rich research and provide the foundations for further training endeavors.
Audience
This course is addressed to RNA biology scientists with none or limited computational skills.
At the end of the course participants should:
- have a general understanding of data organization, modern computing in biology and interpreted programming languages
- be comfortable in a UNIX-like environment, be able to execute UNIX commands in order to navigate in the filesystem, to find and manipulate files as well as to automate tasks
- be able to interact with the R environment using Rstudio
- be comfortable with the R syntax
- know how to seek for help and make use of R packages
- import data, manipulate it and summarize it
- build graphs
Content
The highlighted icons, represent the fields of education (in compliance with ISCED Classification) engaged during this course/programme.
Venue
Lausanne, Switzerland
University of Lausanne, Génopode building, classroom 2020 (Metro M1 line, Sorge station).
Application
Cost:
<p>Free for NCCR in RNA & Disease members. 100 CHF for non NCCR members. Others, please contact us before application.</p>
Prerequisites:
Knowledge / competencies:
This course is aimed for beginners and no background in UNIX or R programming language is required.
Technical:
Participants should bring their laptop with UNIX, R and Rstudio installed (information will follow)
Application Procedure:
This course is free for RNA & Disease members (please indicate it in the "comment" field of the application form). The registration fees for non members are 100 CHF. This includes course content material, coffee breaks and lunches. Participants from non-academic institutions should contact us before application.
Deadline for registration and free-of-charge cancellation is set to May 5 Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to this and other general conditions, available at http://www.sib.swiss/training/terms-and-conditions.
You will be informed by email of your registration confirmation.
Qualification
This course is co-organised by the NCCR in RNA & Disease members. Priority is given to its members, but is open to everyone.
Overview
Developments in high-throughput methods, particularly next generation sequencing technologies, have significantly impacted the field of RNA biology. To make sense of complex datasets that are nowadays commonly generated by most biology labs requires the use of robust computational methods to visualise and analyse results. Life scientists are therefore faced with an increasing need for bioinformatics skills to deal with high-throughput data storage, retrieval and analysis.
The aim of this two-day introductory workshop is to allow attendees to gain insight into basic computing techniques and their potential applications in RNA biology. This workshop, where theory alternates with hands-on practical exercises, has the long-term goal to prepare experimental-based scientists to better meet the challenge of data-rich research and provide the foundations for further training endeavors.
Audience
This course is addressed to RNA biology scientists with none or limited computational skills.
This course is free for RNA & Disease members (please indicate it in the "comment" field of the application form). The registration fees for non members are 100 CHF. This includes course content material, coffee breaks and lunches. Participants from non-academic institutions should contact us before application.
Deadline for registration and free-of-charge cancellation is set to May 5 Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to this and other general conditions, available at http://www.sib.swiss/training/terms-and-conditions.
You will be informed by email of your registration confirmation.
At the end of the course participants should:
- have a general understanding of data organization, modern computing in biology and interpreted programming languages
- be comfortable in a UNIX-like environment, be able to execute UNIX commands in order to navigate in the filesystem, to find and manipulate files as well as to automate tasks
- be able to interact with the R environment using Rstudio
- be comfortable with the R syntax
- know how to seek for help and make use of R packages
- import data, manipulate it and summarize it
- build graphs
Knowledge / competencies:
This course is aimed for beginners and no background in UNIX or R programming language is required.
Technical:
Participants should bring their laptop with UNIX, R and Rstudio installed (information will follow)
