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This short session will provide an understanding of the principles, tools and techniques involved in Process Analysis with a view to improving business process effectiveness and efficiency. Delegates will have the opportunity to practice using the techniques that they learn via exercises designed to be enjoyable and thought provoking.

This optional extra day builds on what we learned in the main event on 15-19 April.

During the day we will have additional trainers available to help you implementing the skills and concepts that you have learned during the previous week. We encourage participants to send a brief explanation of their research to us before the session, together with a snippet of their data. This way we can prepare additional resources, where applicable.

To ensure sufficient support on the day, we encourage participants to register for this additional session before the start of the main event. However, if you are unsure at the moment and decide you would like to join during the week itself then this is of course possible too!

If you do not have a University of Cambridge Raven account please book or register your interest here.

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.

This workshop focuses on expression proteomics, which aims to characterise the protein diversity and abundance in a particular system. You will learn about the bioinformatic analysis steps involved when working with these kind of data, in particular several dedicated proteomics Bioconductor packages, part of the R programming language. We will use real-world datasets obtained from label free quantitation (LFQ) as well as tandem mass tag (TMT) mass spectrometry. We cover the basic data structures used to store and manipulate protein abundance data, how to do quality control and filtering of the data, as well as several visualisations. Finally, we include statistical analysis of differential abundance across sample groups (e.g. control vs. treated) and further evaluation and biological interpretation of the results via gene ontology analysis. By the end of this workshop you should have the skills to make sense of expression proteomics data, from start to finish.

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.

Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging.

In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq.

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.

Andys Man Cub is a free peer-to-peer group that provides a place for men to come together in a safe and open environment to talk about the issues or problems that they have faced or are currently facing.

The process is about bringing men together who have been in similar situations, to each help each other on a peer-to-peer basis, sharing advice on how they have dealt with difficult situations. The 5 questions that are asked each week are designed not only to encourage men to talk, but to start to focus on the positives and on strategies to keep moving forward. There is no pressure to answer any of the questions and it is not uncommon for men to just listen for the first few sessions. The clubs all run on the same format and adhere to the same guidelines. A key principle of Andys Man Club is anything that is said in the club, stays within the club.

The club is open to any man 18 or over, who is going through a storm, been through a storm or just wants to meet a good group of people with the aim of improving one another.

Please Note: It is important that when you book on this course, on your booking confirmation page, click on Add to Calendar to start the process to import the course appointment into your calendar.

The Critical Reading course aims to improve students' ability to read critically and evaluate sources, as well as giving helpful tips about productive reading, note taking and providing a checklist of questions to help them with their reading going forward. It is suitable for all students but aimed mostly at undergraduates.

This training is intended for staff and post graduate students who regularly use DSE to help prevent or reduce the risk of possible health problems arising from computer use. The training is also aimed at those responsible within departments for assisting with the DSE risk assessment process. The course will provide an understanding of the DSE Regulations 1992 (as amended 2002) and discuss employer's and employee's duties regarding the assessment of DSE workstations. There will be theory and a practical demonstration. The training will allow time to discuss some of the common health problems and concerns that may be associated with poor workstation set-up with examples of possible solutions.

This practical programme is only for those who are scheduled to begin supervising in the next few months; it is not for those who - at this point - have a general interest in learning more about supervisions but have not arranged to start supervising.

This workshop is the second component of a three-part programme, which is designed to be completed in the following order:

1. A self-paced online module containing information on the Cambridge supervision system and introducing the principles and practices of effective teaching and learning, which must be completed before attending this workshop.

2. This in-person workshop that incorporates personal reflection on teaching practice, design of learning activities, discussion of real teaching scenarios, a chance to discuss and ask questions and access to practical information about organising and carrying out your supervisions.

3. An optional follow-up session for those who wish to explore further after gaining some supervision experience.

Please note that everyone new to supervising undergraduates at Cambridge must complete this course: both the online module and the workshop (or equivalent face-to-face training provided by your Department or Faculty).

Bookings for all workshops will close two days before the workshop to give you time to complete the online module ahead of the workshop.