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Objectives:
Keywords: Genomics, Bioinformatics, Education, Training
Skill level of training: Beginner
Language: English
Credential awarded: letter of completion
Type of training: online
Prerequisites: Trainers and educators who have an understanding of the topic they wish to teach (bioinformatics, genomics, data science).
Learning objectives/outcomes:
After this workshop participants should be able to:
Venue of workshop: Zoom
Dates for the workshop: 22 November – 8 December 2022, Tuesday and Thursday, 14h00 – 17h00 CAT.
Workshop organisers: Nicola Mulder, Alice Matimba, Dusanka Nikolic, Verena Ras, Benjamin Moore, Piv Gopalasingham, Isabela Malta, Sarah Morgan, Sindiswa Lukhele.
Registration opens: 30 September 2022
Registration closes: 21 October 2022
Notification date: 11 November 2022
Link to application form: Train the Trainer Participant Registration Form
Workshop Sponsors: H3ABioNet, Wellcome Connecting Science, and the European Bioinformatics Institute.
Intended Audience: Applicants must be individuals involved in genomics or bioinformatics and interested in developing their skills in effectively training others in specific topics.
Course schedule:
Week |
Dates |
Time |
Topics |
Session content |
1 |
17 Nov 2022 |
14h00 – 17h00 CAT |
|
Get to know each other and course overview |
2 |
22 Nov 2022 |
Training theory and practical aspects |
Theoretical aspects |
|
24 Nov 2022 |
Course design elements and factors |
|||
3 |
29 Nov 2022 |
Training design elements |
Design your own training Part 1 |
|
02 Dec 2022 |
Design your own training Part 2 |
|||
4 |
06 Dec 2022 |
Training evaluation |
Feedback and evaluation |
|
08 Dec 2022 |
Training design project |
Project presentation and peer review |
||
5 |
Online |
Course evaluation, wrap-up |
Post-course feedback and certificates |
Course Overview: The course aims to provide an introduction to the field of bioinformatics, with a focus on important bioinformatics tools, and resources. The course aims to use a combination of theoretical and practical sessions in order for participants to gain practical experience in using various tools and resources.
Course Overview: Next generation sequencing (NGS) has become an essential tool in genetic and genomic analysis. It is increasingly important for experimental scientists to gain the bioinformatics skills required to analyse the large volumes of data produced by next generation sequencers. This course will equip participants with the essential informatics skills required to begin analysing NGS data and apply some of the most commonly used tools and resources for sequence data analysis.
The programme will cover prominent sequencing technologies, algorithmic theory and principles of bioinformatics, with a strong focus on practical computational sessions using sequence analysis techniques and tools applicable to any species or genome size. A variety of applications will be covered from post-sequencing analysis - QC, alignment, assembly, variant calling and RNA-Seq.
This course will apply a blended learning format consisting of locally coordinated classrooms referred to as “remote classrooms”. Click here for more information. Please note: Due to the COVID-19 pandemic, the local classrooms will likely run virtually, using Zoom and downloadable virtual machines.
Intended Audience:
Applicants should be postdoctoral scientists, senior PhD students, junior faculty members or clinicians/healthcare professionals actively engaged in or soon to commence research involving next generation sequencing data analysis.
Priority will be given to applicants who 1) currently or will soon have NGS experimental data to analyse 2) will utilise the bioinformatics techniques taught in at least two of the modules/topic areas listed in the programme outline in their experiments 3) have a clear plan/opportunity to disseminate the knowledge amongst their peers. We encourage applicants to highlight these areas in their application.
Learning objectives/outcomes: After this workshop participants should be able to:
• Use the unix command-line as a tool for data analysis
• Describe the different NGS data file formats available
• Perform QC assessment of high throughput sequencing data
• Explain the algorithmic concepts behind read alignment, variant calling and structural variant detection
• Perform read alignment, variant calling and structural variation detection using standard tools
• Analyse RNA-Seq and CHiP-seq data
• Perform a genome assembly using NGS data
Prerequisites:
The practical sessions will be taught exclusively through Unix/Linux. Therefore, participants are required to have some previous experience using the Linux operating system. This will be essential for participants to fully benefit from the course. There are numerous online introductory tutorials to the UNIX/Linux operating system and command line, including:
Syllabus and Tools:
The course will cover the following topics:
• Intro to Unix/Linux & running workflows
• Introduction to NGS Technologies
• NGS data pre-processing and QC
• Alignment to reference sequences
• Variant calling and annotation
• ChipSeq
• RNASeq
• Genome assembly
Dates for the workshop:
Tuesdays & Thursdays from 22/03/2022 until 20/06/2022 (staff training will happen ahead of this)
Classroom registration opens:
03/12/2021
Classroom registration closes:
10/01/2022
Notification date:
17/01/2022
Workshop organisers:
WGC WCS and H3ABioNet
Workshop Sponsors:
Wellcome Genome Campus/ Wellcome Connecting Science and H3ABioNet
Keywords:
NGS, Data analysis, Genomics, Sequence analysis
Skill level of training:
Advanced
Language:
English
Credential awarded:
Letter of completion
Type of training:
Likely to be run in a virtual format
Workshop limitations:
The course aims to provide a hands-on introduction to bioinformatics for next generation sequencing, and should not be considered a complete education in the theoretical and mathematical foundations of the topics.
Workshop Programme:
The workshop will run for ~10 weeks, on Tuesdays and Thursdays from the 22nd of March until the 20th of June.
Please apply to take the course by clicking here
Course Overview: Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Course Overview: H3ABioNet‘s IBT 2021 Classroom Call
H3ABioNet‘s Introduction to Bioinformatics course (IBT) provides an introduction to the field of bioinformatics with a focus on important bioinformatics tools and resources. The 2021 iteration will be running soon.
Kindly watch out for the call for classrooms by 26th April 2021.
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Tools and Services
Communication