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X-WR-CALDESC:Events for Hub for Applied Bioinformatics
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DTSTART:20260329T010000
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DTSTART:20261025T010000
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DTSTART;VALUE=DATE:20261008
DTEND;VALUE=DATE:20270312
DTSTAMP:20261006T221206
CREATED:20260706T125209Z
LAST-MODIFIED:20260716T122537Z
UID:2846-1791417600-1804809599@hab.sites.er.kcl.ac.uk
SUMMARY:Series: SpatiaLondon Workshop
DESCRIPTION:Spatial transcriptomics is transforming how we understand tissue biology\, but many teams still work in isolation\, reinventing the same pipelines and solving the same problems in parallel. To address these specific challenges\, SpatiaLondon was founded by five London institutions (KCL\, UCL\, Imperial\, QMUL\, and the Francis Crick Institute) with fundings from Francis Crick Institute and DisCouRSE+\, to share practice\, align standards\, and co-create the open tools and training the field needs. SpatiaLondon is open to researchers\, bioinformaticians\, and platform engineers across the UK interested in addressing the challenges of spatial biology. \nThe SpatiaLondon Workshop series is designed to address key challenges in spatial biology data\, including data formats\, QA/QC\, spatial imaging problems\, cell segmentation models\, cell annotation models\, batch effect correction methods\, neighbourhood analysis methods and downstream analysis. SpatiaLondon workshop series also covers application and implementation of AI models in spatial biology. \nTo register please click on the link below: \nSpatiaLondon Workshop Series | King’s College London eStore \nIndividual Sessions are £100. Save by buying a bundle of all sessions for £500! \nRegistration for each session will close four days in advance. Bundles will be available until before Session 2. \nFind out more about SpatiaLondon here: Activities –
URL:https://hab.sites.er.kcl.ac.uk/event/spatialondon-workshop-series/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ATTACH;FMTTYPE=image/png:https://hab.sites.er.kcl.ac.uk/wp-content/uploads/2026/06/SpatiaLondon_KCL.png
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20261012T140000
DTEND;TZID=Europe/London:20261012T160000
DTSTAMP:20261006T221206
CREATED:20260916T094733Z
LAST-MODIFIED:20260923T155603Z
UID:3007-1791813600-1791820800@hab.sites.er.kcl.ac.uk
SUMMARY:SpatiaLondon: Batch Effects Across Slides\, Platforms & Timepoints
DESCRIPTION:Focused\, small-group discussions on the shared bottlenecks that slow spatial transcriptomics research. Each session is led by a network member and produces actionable notes feeding into our living\, community-owned bottlenecks log. Sessions rotate across partner institutions in hybrid format. \nOn this Data Club: \nLead: Reuben Asher (UCL) \n\nAlignment of spatial datasets while preserving local spatial structure\nOvercorrection risk: removing real biological gradients\nLimitations of scRNA-seq integration methods when applied spatially\n\nTo register please click here: SpatiaLondon Data Club 2 – 12/10/2026
URL:https://hab.sites.er.kcl.ac.uk/event/spatialondon-batch-effects-across-slides-platforms-timepoints/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Data clubs,Engagement,Live,Online
ATTACH;FMTTYPE=image/png:https://hab.sites.er.kcl.ac.uk/wp-content/uploads/2026/06/SpatiaLondon_KCL.png
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20261027T100000
DTEND;TZID=Europe/London:20261027T130000
DTSTAMP:20261006T221206
CREATED:20260805T104106Z
LAST-MODIFIED:20260805T104106Z
UID:2877-1793095200-1793106000@hab.sites.er.kcl.ac.uk
SUMMARY:Follow-up: Introduction to R
DESCRIPTION: R is one of the most used programming languages in Data Science to perform data analysis\, used to visualize the data\, to apply statistics and for machine learning analyses. This course is designed for participants with no programming experience and is the most beginner-friendly course within Innovation Scholars. We will be using example questions related to health research to learn how to write ad-hoc codes to manipulate and visualize data using R packages designed for Big Data analyses.  \nThis course is for you if:  \n\nYou are a complete/near complete beginner to programming \nYou work in health-related sector as either clinical\, administrative or academic staff – for example as a nurse\, health administrator\, consultant\, biomedical researcher\, etc. You require flexible learning format \nYou need to start using more data for your current or future role \nYou want to be able to perform basic tasks in R\, such as making plots and sorting through tables\, based on health-data without getting too deep into the theory of coding \n\nThis is an in-person workshop. Completion of the associated online module (Basic R with Data Carpentry) is mandatory prior to attendance.  \nPrice: £50 \nTo register please click here: Introduction to R – October 2026 | King’s College London eStore \nKeyphrases: R Programming\, Health Data Analysis\, Data Visualisation \n 
URL:https://hab.sites.er.kcl.ac.uk/event/follow-up-introduction-to-r/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20261208T100000
DTEND;TZID=Europe/London:20261208T130000
DTSTAMP:20261006T221206
CREATED:20260805T103118Z
LAST-MODIFIED:20260805T103118Z
UID:2880-1796724000-1796734800@hab.sites.er.kcl.ac.uk
SUMMARY:Follow-Up: Statistics with R
DESCRIPTION:This course will provide practical examples of how to perform statistical tests using the R software environment. We will explore the most widely used statistical tests and will explain the basic concept behind applying a stats test in R so that participants will be able to apply their knowledge to other tests not covered in this course. A basic knowledge of the statistical tests and a basic knowledge of R and Rstudio are essential.  \nThis course is for you if:  \n\nYou need to apply statistical tests on large datasets in your current or future role You have a basic or higher level of programming using R and Rstudio \n\n\nYou have a basic or higher understanding of statistics \n\n\nYou work in health-related sector as either clinical\, administrative or academic staff – for example as a nurse\, health administrator\, consultant\, biomedical researcher\, etc. \n\n\nYou require flexible learning format \n\nThis is an in-person workshop. Completion of the associated online module (https://learninghub.kingshealthpartners.org/course/statistics-with-r) is mandatory prior to attendance.  \nPrice: £50 \nTo register please click here: Part 2: Statistics with R – December 2026 | King’s College London eStore \nKeyphrases: Statistical Analysis in R\, R Statistical Tests\, RStudio Data Analysis \n 
URL:https://hab.sites.er.kcl.ac.uk/event/follow-up-statistics-with-r/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270112T100000
DTEND;TZID=Europe/London:20270112T130000
DTSTAMP:20261006T221206
CREATED:20260805T132228Z
LAST-MODIFIED:20260805T132228Z
UID:2882-1799748000-1799758800@hab.sites.er.kcl.ac.uk
SUMMARY:Follow-Up: An Introduction to High Performance Computing for Biologists Using CREATE
DESCRIPTION:Take your HPC skills further with a practical\, hands-on workshop focused on high-performance computing concepts to real-world biomedical research workflows. Building on the material covered in the online course (https://learninghub.kingshealthpartners.org/course/introduction-to-hpc )\, this session provides the opportunity to gain practical experience using an HPC system\, manage data efficiently\, and develop confidence working in a shared computational environment.  \nDuring the workshop\, you will work through guided exercises using an HPC cluster\, practising key tasks including navigating the Linux command line\, managing files and directories\, transferring data\, writing and running scripts\, and submitting and monitoring jobs. You will also have the opportunity to ask questions and receive guidance from the instructor to reinforce your understanding of HPC workflows.  \n Price: £50 \nTo register please click here: An Introduction to High Performance Computing for Biologists Using CREATE – January 2027 | King’s College London eStore \nKeyphrases: High-Performance Computing (HPC)\, Biomedical Research\, HPC Training
URL:https://hab.sites.er.kcl.ac.uk/event/follow-up-an-introduction-to-high-performance-computing-for-biologists-using-create/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270126T080000
DTEND;TZID=Europe/London:20270615T170000
DTSTAMP:20261006T221206
CREATED:20260805T132537Z
LAST-MODIFIED:20260805T132554Z
UID:2884-1800950400-1813078800@hab.sites.er.kcl.ac.uk
SUMMARY:Series: Moving Confidently from GraphPad Prism to R
DESCRIPTION:Following the recent announcement that GraphPad Prism will now require individual group subscriptions\, the HAB will be offering a new series of hands-on workshops for non-coders.   \nThese workshops are designed to help researchers at all career levels (PIs included!) to carry out the analyses they would usually perform in GraphPad Prism\, this time in R\, a powerful open-source alternative.   \nWe will begin with an introductory module on R basics\, followed by a series of topic-focused sessions\, helping you to convert your existing Prism-based analyses into the R language. The programme will conclude with a “Bring Your Own Data” workshop\, where participants can apply their newly acquired skills to their own datasets with support from our team.    \nEach workshop runs for 3 hours (10:00-13:00) and are scheduled from January through June. Participants can choose to attend the full series (at a discount!) or select individual modules according to their needs. However\, the Basic R module is a prerequisite unless you are already confident with the fundamentals\, as we will not re-cover them in later sessions.   \nWorkshops in the series: \n\nSession 1: Basics of R for Non-Coders\, January 26th\, 2027 \n\n\nSession 2: Reproducibly Visualising Data in R using ggplot\, February 23rd\, 2027 \n\n\nSession 3: Intro to the tidyverse and wrangling Prism data into R\, March 23rd\, 2027 \n\n\nSession 4: Statistical testing (preparing data for tests\, t-tests\, ANOVA\, power analyses etc.)\, April 20th\, 2027 \n\n\nSession 5: Reproducible workflows and advanced statistics\, May 18th\, 2027 \n\n\nSession 6: From GraphPad Prism to R: Bring Your Own Data\, June 15th\, 2027 \n\nSessions 2-6 in will contain some material based on participant interest in particular scenarios\, types of graphs etc. If you sign up for one or more of these sessions we will reach out ahead of time to get your input!   \nPrice: £75/ session or save by buying a bundle for £300 \nTo register please click here: Moving Confidently from GraphPad Prism to R 2027 | King’s College London eStore
URL:https://hab.sites.er.kcl.ac.uk/event/series-moving-confidently-from-graphpad-prism-to-r/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270204T100000
DTEND;TZID=Europe/London:20270204T130000
DTSTAMP:20261006T221206
CREATED:20260805T132642Z
LAST-MODIFIED:20260805T132642Z
UID:2889-1801735200-1801746000@hab.sites.er.kcl.ac.uk
SUMMARY:Follow-Up: Using Spreadsheets to Record Data and Metadata
DESCRIPTION:A good experimental design is the first step for a successful bioinformatics analyses\, the second one is to understand how to record and organise data. Most life scientists (at any career stage) store data in spreadsheets\, so this is the place that many research projects start and how data are delivered to the bioinformatician. Participants will prepare data for bioinformatics analyses and improve their data organization skills.  \n This course is for you if:  \nYou are a beginner to using Excel or have experience but would like to use it more effectively  \nYou work in health-related sector as either clinical\, administrative or academic staff – for example as a nurse\, health administrator\, consultant\, biomedical researcher\, etc.  \nYou have some knowledge of basic statistical terms and would like to apply them in Excel You need to start recording data or using already recorded data for your current or future role  \nYou require flexible learning format  \nPrerequisites:  \nCompletion of the online module Using spreadsheets for recording data and metadata is required prior to attending this workshop. The online module is available here: https://learninghub.kingshealthpartners.org/course/using-spreadsheets   \nPrice: £50 \nTo register please click here: Using Spreadsheets to Record Data and Metadata | King’s College London eStore
URL:https://hab.sites.er.kcl.ac.uk/event/follow-up-using-spreadsheets-to-record-data-and-metadata/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270216T100000
DTEND;TZID=Europe/London:20270216T170000
DTSTAMP:20261006T221206
CREATED:20260827T110807Z
LAST-MODIFIED:20260827T110807Z
UID:2937-1802772000-1802797200@hab.sites.er.kcl.ac.uk
SUMMARY:Git Your Code: A Bioinformatician’s Guide to Version Control
DESCRIPTION:This hands-on workshop introduces Git\, the industry-standard version control system used to manage\, track\, and collaborate on research and software projects. Whether you’re writing code\, analysing data\, or developing documents\, Git helps you keep a complete history of your work\, experiment safely\, and collaborate efficiently with others.  \nThrough a combination of demonstrations and practical exercises\, you will learn how to use Git from the command line and work with GitHub to store\, share\, and collaborate on projects. By the end of the workshop\, you will have the confidence to use version control in your own research and computational workflows.  \nTopics covered  \n\nInstalling and configuring Git \n\n\nCreating and managing Git repositories \n\n\nTracking and committing changes \n\n\nExploring repository history \n\n\nWorking with remote repositories using GitHub \n\n\nCloning repositories \n\n\nCollaborating on shared projects \n\n\nCreating\, switching\, and merging branches \n\nWho is this course for?  \nThis workshop is designed for researchers\, students\, and professionals who are new to version control and would like to incorporate Git into their research or software development workflows.  \nPrerequisites  \nParticipants should:  \n\nHave a GitHub account before attending the workshop \n\n\nInstall Git on their computer (installation instructions will be provided) \n\n\nBe familiar with the Unix/Linux command line (Bash)\, including basic commands such as pwd\, ls\, cd\, cat\, mkdir\, and touch\, as the workshop uses the terminal to interact with Git\n\n  \nPrice: £100 \nTo register please click here: Git Your Code: A Bioinformatician’s Guide to Version Control 2027 | King’s College London eStore
URL:https://hab.sites.er.kcl.ac.uk/event/git-your-code-a-bioinformaticians-guide-to-version-control/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270226T100000
DTEND;TZID=Europe/London:20270226T130000
DTSTAMP:20261006T221206
CREATED:20260805T132954Z
LAST-MODIFIED:20260805T132954Z
UID:2891-1803636000-1803646800@hab.sites.er.kcl.ac.uk
SUMMARY:Follow-Up: NGS: Bulk RNA-Seq
DESCRIPTION:Take your RNA-seq knowledge further with a practical\, hands-on workshop focused on data analysis and visualisation. Building on the concepts introduced in the online course (available here: https://learninghub.kingshealthpartners.org/course/next-generation-sequencing-rna-seq ) \, this in-person follow-up session provides the opportunity to apply your skills through guided exercises\, real-world workflows\, and expert support.   \nDuring the workshop\, you will work through advanced RNA-seq analysis and visualisation tasks\, explore practical workflows\, ask questions\, and receive guidance from the instructor to help consolidate your understanding.  \nPrice: £50 \nTo register please click here: Part 2: NGS: Bulk RNA-Seq 2027 | King’s College London eStore \nKeyphrases: RNA-seq Analysis\, Bioinformatics Workflows\, RNA-seq Data Visualisation \n 
URL:https://hab.sites.er.kcl.ac.uk/event/follow-up-ngs-bulk-rna-seq/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270408T100000
DTEND;TZID=Europe/London:20270408T130000
DTSTAMP:20261006T221206
CREATED:20260806T142356Z
LAST-MODIFIED:20260806T142356Z
UID:2906-1807178400-1807189200@hab.sites.er.kcl.ac.uk
SUMMARY:Follow-Up: Python Programming
DESCRIPTION:Python is a versatile and widely used programming language that has become an essential tool in modern health research. Its simple syntax\, extensive libraries\, and strong community support make it accessible to researchers with little or no programming experience. In health research\, Python is used for data management\, statistical analysis\, visualization\, machine learning\, and the integration of large-scale biomedical datasets. As healthcare increasingly relies on data-driven approaches\, Python enables researchers to efficiently analyse complex data\, automate repetitive tasks\, and generate reproducible results. This course provides a practical introduction to Python and its applications in health and biomedical research.  \nTake your Python knowledge further with a practical\, hands-on workshop that builds on the concepts introduced in the online course (available here: https://learninghub.kingshealthpartners.org/course/introduction-to-python-for-health-research ) \nIf the event is full or closed for registration\, and you would like to register last-minute or be added to a waitlist\, please e-mail hab@kcl.ac.uk  \nPrice: £50 \nTo register please click here: Part 2: Python Programming | King’s College London eStore
URL:https://hab.sites.er.kcl.ac.uk/event/follow-up-python-programming/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270413T100000
DTEND;TZID=Europe/London:20270413T170000
DTSTAMP:20261006T221206
CREATED:20260805T133110Z
LAST-MODIFIED:20260805T133110Z
UID:2909-1807610400-1807635600@hab.sites.er.kcl.ac.uk
SUMMARY:Statistics and Hypothesis Testing in R: A Practical Full-Day Workshop
DESCRIPTION:This full-day\, in-person workshop will provide a practical introduction to carrying out common statistical tests in R. Through a combination of short theoretical refreshers\, live demonstrations and hands-on exercises\, participants will learn how to choose\, run\, interpret and report statistical tests using real-world\, health-related examples.  \nWe will cover the core principles behind hypothesis testing and give participants the confidence to apply statistical methods to their own datasets. We will explore commonly used tests with an emphasis on understanding when each test is appropriate and how to interpret the output in R.  \nThis workshop is designed for participants who want a focused\, supportive learning environment with live instructor guidance. Participants will build confidence not only in running specific statistical tests\, but also in applying the same principles to other analyses in their own work.  \nThis course is for you if:  \n\nYou need to apply statistical tests to datasets in your current or future role \n\n\nYou have some basic experience using R and RStudio \n\n\nYou have a basic understanding of statistics but would like more confidence applying tests in practice \n\n\nYou work in a health-related\, biomedical\, clinical\, administrative or academic setting \n\n\nYou learn best through hands-on practice with opportunities to ask questions in real time \n\nBy the end of the workshop\, participants will be able to:  \n\nUnderstand the basic logic of hypothesis testing in R \n\n\nChoose appropriate statistical tests for different types of data and research questions \n\n\nRun common statistical tests using R \n\n\nInterpret statistical output and understand what the results mean \n\n\nRecognise when assumptions need to be checked before applying a test \n\n\nApply the same general workflow to statistical tests not covered directly in the workshop \n\nThe day will include a mixture of short teaching sessions\, guided coding demonstrations\, practical exercises and opportunities for discussion. Participants should bring a laptop with R and RStudio installed and should have a basic working knowledge of R before attending. \nPrice: £100 \nTo register please click here: Statistics and Hypothesis Testing in R: A Practical Full-Day Workshop | King’s College London eStore
URL:https://hab.sites.er.kcl.ac.uk/event/statistics-and-hypothesis-testing-in-r-a-practical-full-day-workshop/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270427T100000
DTEND;TZID=Europe/London:20270427T170000
DTSTAMP:20261006T221206
CREATED:20260821T160228Z
LAST-MODIFIED:20260821T160228Z
UID:2911-1808820000-1808845200@hab.sites.er.kcl.ac.uk
SUMMARY:From Inputs to Insights: A Hands-On Introduction to Bulk RNA-seq Analysis
DESCRIPTION:This full-day\, hands-on workshop will introduce you to the key steps involved in analysing and visualising Bulk RNA-seq data. You will learn how RNA-seq data are generated\, processed and interpreted\, with a particular focus on preparing data for downstream analysis and identifying differentially expressed genes.  \nBy the end of the course\, you will have a clearer understanding of what Bulk RNA-seq can tell you\, how raw sequencing data are transformed into interpretable results\, and how to carry out core analysis steps in R. The workshop is designed to combine explanation with practical exercises\, giving you the opportunity to work through an RNA-seq analysis workflow in a focused\, supportive\, in-person environment.  \nThis course is for you if:   \n\nYou already have basic knowledge of R programming language \n\n\nYou work in a biomedical field \n\n\nYou need to start using RNA-seq data \n\n\nYou want to gain a better understanding of what information you can obtain from RNA-seq data \n\n\nYou would like to learn how to carry out differential expression analysis for bulk data \n\n\nYou work best in a focused\, in-person environment with live instructor support\n\nLearning objectives:  \n\nDescribe the main steps in a bulk RNA-seq analysis workflow \n\n\nUnderstand how RNA-seq data are processed before downstream analysis \n\n\nExplain how differentially expressed genes are identified \n\n\nPerform a basic differential expression analysis in R \n\n\nRead RNA-seq output files into R and work with gene-level data \n\n\nAnnotate and interpret features in an RNA-seq dataset \n\n\nCreate basic visualisations to explore and communicate RNA-seq results \n\nTechnology required: To participate in the course\, you will need to be able to use RStudio on your computer or log into RStudio Cloud so you can work interactively in class.   \nPrerequisites: Working knowledge of the R programming language\, knowledge of NGS sequencing and pre-processing such as from our online course.   \nPrice: £100 \nTo register please click here: From Inputs to Insights: A Hands-On Introduction to Bulk RNA-seq Analysis | King’s College London eStore \nIf the event is full or closed for registration\, and you would like to register last-minute or be added to a waitlist\, please e-mail hab@kcl.ac.uk 
URL:https://hab.sites.er.kcl.ac.uk/event/from-inputs-to-insights-a-hands-on-introduction-to-bulk-rna-seq-analysis/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270512T100000
DTEND;TZID=Europe/London:20270512T130000
DTSTAMP:20261006T221206
CREATED:20260825T114033Z
LAST-MODIFIED:20260908T151511Z
UID:2913-1810116000-1810126800@hab.sites.er.kcl.ac.uk
SUMMARY:Single Cell Data Analysis
DESCRIPTION:This workshop is a follow-up session from the online Innovations Scholar Workshop. The online workshop *must* be completed before coming to this in-person workshop.   \nSingle-cell transcriptomics is a powerful tool to study the heterogeneity of the cellular transcriptome at single-cell levels. This course aims to equip participants with essential skills to process RNA-sequencing reads from single-cell transcriptomics experiment and to perform downstream analyses of the single-cell gene expression data. This course is designed for participants with some experience in R programming and running command-line programs. We will be using published single-cell RNA-sequencing datasets to perform quality control\, data normalisation\, cell clustering\, differential expression and trajectory analyses.  \nWe will use the objects produced from the online workshop and other single-cell datasets to expand on the important aspects of single-cell analysis\, discuss decision-making steps along the analysis pipeline\, visualise the data differently\, and perform additional analysis. Due to time constraints\, we are limited to tools that are implemented in R and that run reasonably fast. But where relevant\, case studies could be shown and discussed. By the end of the workshop\, delegates will be able to independently conduct and critically analyse data from scRNA-seq experiments  \nPlease complete the following requirements before attending the in-person follow-up:  \n\nA certificate from the online workshop \n\n\nRStudio and the installation of all the libraries used in the online workshop \n\n\nThe RDS obtained from the online workshop\n\nIf you are having any issues\, please contact Michelle Simon (michelle.1.simon@kcl.ac.uk) directly. If the event is full or closed for registration\, and you would like to register last-minute or be added to a waitlist\, please e-mail hab@kcl.ac.uk  \nWe are looking forward to seeing you there!  \nPrice: £50 \nTo register please click here: Single Cell Data Analysis 2027 | King’s College London eStore
URL:https://hab.sites.er.kcl.ac.uk/event/single-cell-data-analysis/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20270602T100000
DTEND;TZID=Europe/London:20270602T130000
DTSTAMP:20261006T221206
CREATED:20260825T114522Z
LAST-MODIFIED:20260908T151409Z
UID:2916-1811930400-1811941200@hab.sites.er.kcl.ac.uk
SUMMARY:ATAC-Seq Analysis
DESCRIPTION:This workshop is a follow-up session to the Innovation Scholars workshop. The online workshop *must* be completed before coming to this in-person workshop. Initially we aim to use the data and objects produced from the online workshop to expand on the important aspects of ATAC-seq analysis\, discuss decision-making steps along the analysis pipeline.  We will extend the workshop to include the integration of other ‘Omic’ datasets and use different genomic resources to determine potential regulatory networks. Due to time constraints\, we are limited to tools that are implemented in R and that run reasonably fast. Where relevant\, case studies could be shown and discussed. By the end of the workshop\, delegates will be able to independently conduct and critically analyse data from ATAC-seq experiments.  \nPlease complete the following requirements before attending the workshop:  \n\nA certificate from the online workshop. \n\n\nRStudio and the installation of all the libraries used in the online workshop. \n\n\nThe RDS obtained from the online workshop. \n\nIf you are having any issues\, please contact Michelle Simon (michelle.1.simon@kcl.ac.uk) directly. If the event is full or closed for registration\, and you would like to register last-minute or be added to a waitlist\, please e-mail hab@kcl.ac.uk  \n We are looking forward to seeing you there!  \nPrice: £50 \nTo register please click here: ATAC-Seq Analysis 2027 | King’s College London eStore
URL:https://hab.sites.er.kcl.ac.uk/event/atac-seq-analysis/
LOCATION:HAB Training Room\, Newcomen St\, London\, SE1 1UL\, United Kingdom
CATEGORIES:Live,Training
ORGANIZER;CN="HAB":MAILTO:hab@kcl.ac.uk
END:VEVENT
END:VCALENDAR