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A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A curated course by the Digital Literacy Skills programme as part of the University of Cambridge's subscription to LinkedIn Learning.
This course can be acccessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A curated course by the Digital Literacy Skills programme as part of the University of Cambridge's subscription to LinkedIn Learning.
This course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A curated course by the Digital Literacy Skills programme as part of the University of Cambridge's subscription to LinkedIn Learning.
This course can be acccessed here.
A curated course by the Digital Literacy Skills programme as part of the University of Cambridge's subscription to LinkedIn Learning.
This course can be acccessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A curated course by the Digital Literacy Skills programme as part of the University of Cambridge's subscription to LinkedIn Learning.
This course can be acccessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
- The Microsoft Education channel on YouTube #MicrosoftEDU has a variety of training videos spotlighting the use of Office 365 in education
The training can be accessed on the Education Channel.
This session will cover the basics of Open Access publishing, helping you to understand the benefits and practicalities of this important area of academia and how it relates to your research. We’ll discuss strategic drivers towards open access policies, including your funder requirements and why you need to deposit your PhD thesis. We’ll also demystify open access terminology, tell you exactly how to make your work available openly and discuss Creative Commons licencing, all while giving you lots of tools and support to make open access easy.
These e-learning modules are available via the InforMEA e-learning platform. Information and guidance on ABS and Nagoya Protocol webpage is available on the University website.
Introduction to Access and Benefit Sharing(ABS)
This course provides an introduction to access and benefit-sharing of genetic resource that originate from overseas.
Sign up on the InforeMEA platform.
Further details about the syllabus information are available here.
Introductory Course to the Nagoya Protocol
This course provides an introduction to the major components of the Nagoya Protocol.
Please see the syllabus for further details and sign up on the InforeMEA platform.
If you wish, you can take a quiz at the end of the both courses to assess your learning progress. You are required to answer at least 80% of the assessment questions correctly in order to obtain a course certificate.
In this introductory course, you will learn about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.
This is a free course, register and sign in for the following dates:
26th July 2021
9th August 2021
23rd August 2021
6th September 2021
In this course you will acquire practical skills in RNA-seq data analysis. You will learn about quality control, alignment, and quantification of gene expression against a reference transcriptome. Additionally, you will learn to conduct downstream analysis in R, exploring techniques like PCA and clustering for exploratory analysis. The course also covers differential expression analysis using the DESeq2 R/Bioconductor package. Furthermore, the course covers how to generate visualisations like heatmaps and performing gene set testing to link differential genes with established biological functions or pathways.
If you do not have a University of Cambridge Raven account please book or register your interest here.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a method used to identify binding sites for transcription factors, histone modifications and other DNA-binding proteins across the genome. In this course, we will cover the fundamentals of ChIP-seq data analysis, from raw data to downstream applications.
We will start with an introduction to ChIP-seq methods and cover the bioinformatic steps in processing ChIP-seq data. We will then introduce the use of the graphical program SeqMonk to explore and visualise your data. Finally, you will perform peak calling and perform differential enrichment analysis.
If you do not have a University of Cambridge Raven account please book or register your interest here.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.