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Showing courses 1-25 of 113
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Analysis of bulk RNA-seq data Wed 25 Mar 2020   09:30   [More dates...] [Full]

The aim of this course is to familiarize the participants with the primary analysis of RNA-seq data.

This course starts with a brief introduction to RNA-seq and discusses quality control issues. Next, we will present the alignment step, quantification of expression and differential expression analysis. For downstream analysis we will focus on tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

4 other events...

Date Availability
Mon 18 Jun 2018 09:30 Finished
Mon 3 Sep 2018 09:30 Finished
Wed 27 Mar 2019 09:30 Finished
Mon 2 Sep 2019 09:30 Finished

This course will cover all aspects of the analysis of DNA methylation using sequencing, including primary analysis, mapping and quality control of BS-Seq data, common pitfalls and complications.

It will also include exploratory analysis of methylation, looking at different methods of quantitation, and a variety of ways of looking more widely at the distribution of methylation over the genome. Finally the course will look at statistical methods to predict differential methylation.

The course will be comprised of a mixture of theoretical lectures and practicals covering a range of different software packages.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

7 other events...

Date Availability
Fri 24 Jul 2015 09:30 Finished
Wed 8 Jun 2016 09:30 Finished
Fri 2 Dec 2016 09:30 Finished
Wed 14 Jun 2017 09:30 Finished
Wed 15 Nov 2017 09:30 Finished
Wed 27 Jun 2018 09:30 Finished
Fri 14 Dec 2018 09:30 Finished

This advanced course will cover high-throughput sequencing data processing, ChIP-seq data analysis (including alignment, peak calling), differences in analyses methods for transcription factors (TF) binding and epigenomic datasets, a range of downstream analysis methods for extracting meaningful biology from ChIP-seq data and will provide an introduction to the analysis of open chromatin with ATAC-seq and long-distance interactions with chromosomal conformation capture based Hi-C datasets.

Materials for this course can be found here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing high-throughput sequencing (HTS) data. We will present workflows for the analysis of ChIP-Seq and RNA-seq data starting from aligned reads in bam format. We will also describe the various resources available through Bioconductor to annotate and visualize HTS data, which can be applied to any type of sequencing experiment.

The course timetable is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

2 other events...

Date Availability
Mon 1 Jun 2015 09:30 Finished
Mon 30 Nov 2015 09:30 Finished
Analysis of mapped NGS data with SeqMonk Wed 3 Feb 2016   09:30   [More dates...] Finished

SeqMonk is a graphical program for the visualisation and analysis of large mapped sequencing datasets such as ChIP-Seq, RNA-Seq, and BS-Seq.

The program allows you to view your reads against an annotated genome and to quantitate and filter your data to let you identify regions of interest. It is a friendly way to explore and analysis very large datasets.

This course provides an introduction to the main features of SeqMonk and will run through the analysis of a couple of different datasets to show what sort of analysis options it provides.

Further information is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

2 other events...

Date Availability
Fri 13 Mar 2015 09:30 Finished
Wed 19 Aug 2015 09:30 Finished
Analysis of RNA-seq data with Bioconductor Wed 28 Mar 2018   09:30   [More dates...] Finished

This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq data. We will present a workflow for the analysis RNA-seq data starting from aligned reads in bam format and producing a list of differentially-expressed genes. We will also describe the various resources available through Bioconductor to annotate, visualise and gain biological insight from the differential expression results.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

1 other event...

Date Availability
Thu 4 May 2017 09:30 Finished
Analysis of single cell RNA-seq data Mon 16 Dec 2019   09:30   [More dates...] [Full]

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.

The course website providing links to the course materials can be found here.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

6 other events...

Date Availability
Wed 24 Feb 2016 09:30 Finished
Wed 22 Jun 2016 09:30 Finished
Wed 26 Oct 2016 09:30 Finished
Thu 16 Mar 2017 09:30 Finished
Tue 31 Oct 2017 09:30 Finished
Thu 23 May 2019 09:30 Finished
Analysis of small RNA-seq data new Tue 2 May 2017   09:30 Finished

This course focuses on methods for the analysis of small non-coding RNA data obtained from high-throughput sequencing (HTS) applications (small RNA-seq). During the course, approaches to the investigation of all classes of small non-coding RNAs will be presented, in all organisms.

Day 1 will focus on the analysis of microRNAs and day 2 will cover the analysis of other types of small RNAs, including Piwi-interacting (piRNA), small interfering (siRNA), small nucleolar (snoRNA) and tRNA-derived (tsRNA).

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

Through the use of real world examples and the JMP, JMP Pro, and JMP Genomics software, we will cover best practices used in both industry and academia today to visually explore data, plan biological experiments, detect differential expression patterns, find signals in next-generation sequencing data and easily discover statistically appropriate biomarker profiles and patterns.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

An Introduction to Machine Learning Wed 19 Feb 2020   09:30   [More dates...] [Full]

Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment.

Please be aware that the course syllabus is currently being updated following feedback from the last event; therefore the agenda below will be subjected to changes.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

6 other events...

Date Availability
Thu 28 Sep 2017 09:30 Finished
Wed 17 Jan 2018 09:30 Finished
Tue 1 May 2018 09:30 Finished
Wed 26 Sep 2018 13:30 Finished
Wed 13 Mar 2019 09:30 Finished
Wed 2 Oct 2019 09:30 Finished
An Introduction to MATLAB for biologists Mon 17 Jun 2019   09:30   [More dates...] Finished

This course aims to give you an introduction to the basics of Matlab. During the two day course we will use a practical based approach to give you the confidence to start using Matlab in your own work. In particular we will show you how to write your own scripts and functions and how to use pre-written functions. We will also explore the many ways in which help is available to Matlab users. In addition we will cover basic computer programming in Matlab to enable you to write more efficient scripts.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

9 other events...

Date Availability
Tue 24 Mar 2015 09:30 Finished
Mon 18 May 2015 09:30 Finished
Mon 13 Jul 2015 09:30 Finished
Mon 21 Sep 2015 09:30 Finished
Mon 21 Mar 2016 09:30 Finished
Thu 23 Jun 2016 09:30 Finished
Mon 15 May 2017 09:30 Finished
Mon 8 Jan 2018 09:30 Finished
Mon 25 Jun 2018 09:30 Finished

The goal of metabolomics is to identify and quantify the complete biochemical composition of a biological sample. With the increase in genomic, transcriptomic and proteomic information there is a growing need to understand the metabolic phenotype that these genes and proteins ultimately control.

The aim of this course is to provide an overview of metabolomics and its applications in life sciences, clinical and environmental settings. Over 2 days we will introduce different techniques used to extract metabolites and analyse samples to collect metabolomic data (such as HPLC or GC-based MS and NMR), present how to analyse such data, how to identify metabolites using online databases and how to map the metabolomic data to metabolic pathways.

The course content will predominantly be based on analysing samples from model plant species such as Arabidopsis thaliana but the procedures are transferable to all other organisms, including clinical and environmental settings.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

4 other events...

Date Availability
Wed 20 May 2015 09:30 Finished
Mon 20 Jun 2016 09:30 Finished
Mon 19 Jun 2017 09:30 Finished
Mon 2 Jul 2018 09:30 Finished

The aim of this course is to introduce participants to the basics of statistical analysis and the open source statistical software R, a free software environment for statistical computing and graphics.

Participants will actively use R throughout the course, during which they will be introduced to principles of statistical thinking and interpretation by example, exercises and discussion about a range of problems. The examples will be used to present a variety of statistical concepts and techniques, with no focus on any specific discipline.

Important information: We have 12 configured laptops for use at the workshop. After these laptops have been allocated, participants will either need to share, or bring their own. These laptops will be allocated to the first individuals to express an interest in using them. When booking, please indicate under "Special requirements" if you wish to use one of the 12 laptops or bring your own. Participants bringing their own laptop will be given instructions on what software to install.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register interest by linking here.

This course is aimed at those new to programming and provides an introduction to programming using Perl.

During this course you will learn the basics of the Perl programming language, including how to store data in Perl’s standard data structures such as arrays and hashes, and how to process data using loops, functions, and many of Perl’s built in operators. You will learn how to write and run your own Perl scripts and how to pass options and files to them. The course also covers sorting, regular expressions, references and multi-dimensional data structures.

The course will be taught using the online Learning Perl materials created by Sofia Robb of the University of California Riverside.

The course website providing links to the course materials is here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

5 other events...

Date Availability
Tue 14 Apr 2015 09:30 Finished
Wed 23 Sep 2015 09:30 Finished
Thu 10 Mar 2016 09:30 Finished
Mon 12 Sep 2016 09:30 Finished
Tue 14 Mar 2017 09:30 Finished

This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs and customize more complex code to fit their needs.

Course materials are available here.

Please note that the content of this course has recently been updated. This course now mostly focuses on core concepts including Python syntax, data structures and reading/writing files. Concepts and strategies for working more effectively with Python are now the focus of a new 2-days course, Data Science in Python.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

25 other events...

Date Availability
Thu 19 Feb 2015 09:30 Finished
Thu 30 Apr 2015 09:30 Finished
Mon 18 May 2015 09:30 Finished
Mon 8 Jun 2015 09:30 Finished
Mon 20 Jul 2015 09:30 Finished
Mon 14 Sep 2015 09:30 Finished
Mon 14 Dec 2015 09:30 Finished
Thu 25 Feb 2016 09:30 Finished
Thu 7 Apr 2016 09:30 Finished
Thu 16 Jun 2016 09:30 Finished
Thu 22 Sep 2016 09:30 Finished
Mon 5 Dec 2016 09:30 Finished
Tue 21 Feb 2017 09:30 Finished
Mon 10 Apr 2017 09:30 Finished
Mon 12 Jun 2017 09:30 Finished
Thu 14 Sep 2017 09:30 Finished
Thu 23 Nov 2017 09:30 Finished
Thu 15 Mar 2018 09:30 Finished
Thu 17 May 2018 09:30 Finished
Thu 12 Jul 2018 09:30 Finished
Thu 6 Sep 2018 09:30 Finished
Thu 29 Nov 2018 09:30 Finished
Wed 27 Feb 2019 09:30 Finished
Mon 20 May 2019 09:30 Finished
Thu 5 Sep 2019 09:30 Finished

Please note that this course has been discontinued and has been replaced by the Introduction to R for biologists.

R is a highly-regarded, free, software environment for statistical analysis, with many useful features that promote and facilitate reproducible research.

In this course, we give an introduction to the R environment and explain how it can be used to import, manipulate and analyse tabular data. After the course you should feel confident to start exploring your own dataset using the materials and references provided.

The course website providing links to the course materials is here.

Please note that although we will demonstrate how to perform statistical analysis in R, we will not cover the theory of statistical analysis in this course. Those seeking an in-depth explanation of how to perform and interpret statistical tests are advised to see the list of Related courses. Moreover, those with some programming experience in other languages (e.g. Python, Perl) might wish to attend the follow-on Data Analysis and Visualisation in R course.

This event is supported by the BBSRC Strategic Training Awards for Research Skills (STARS) grant (BB/P022766/1).

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

30 other events...

Date Availability
Mon 16 Feb 2015 09:30 Finished
Wed 11 Mar 2015 09:30 Finished
Wed 1 Apr 2015 09:30 Finished
Tue 28 Apr 2015 09:30 Finished
Thu 21 May 2015 09:30 Finished
Tue 23 Jun 2015 09:30 Finished
Thu 20 Aug 2015 09:30 Finished
Thu 17 Sep 2015 09:30 Finished
Wed 16 Dec 2015 09:30 Finished
Thu 18 Feb 2016 09:30 Finished
Mon 4 Apr 2016 09:30 Finished
Mon 6 Jun 2016 09:30 Finished
Thu 1 Sep 2016 09:30 Finished
Wed 19 Oct 2016 09:30 Finished
Wed 30 Nov 2016 09:30 Finished
Thu 23 Feb 2017 09:30 Finished
Thu 6 Apr 2017 09:30 Finished
Mon 15 May 2017 09:30 Finished
Thu 15 Jun 2017 09:30 Finished
Mon 4 Sep 2017 09:30 Finished
Mon 27 Nov 2017 09:30 Finished
Tue 20 Feb 2018 09:30 Finished
Mon 26 Mar 2018 09:30 Finished
Thu 26 Apr 2018 09:30 Finished
Thu 14 Jun 2018 09:30 Finished
Wed 12 Sep 2018 09:30 Finished
Wed 24 Oct 2018 09:30 Finished
Mon 17 Dec 2018 09:30 Finished
Mon 25 Mar 2019 09:30 Finished
Mon 13 May 2019 09:30 Finished

THIS EVENT IS NOW FULLY BOOKED!

This Autumn School aims to familiarise biomedical students and researchers with principles of Data Science. Focusing on utilising machine learning algorithms to handle biomedical data, it will cover: effects of experimental design, data readiness, pipeline implementations, machine learning in Python, and related statistics, as well as Gaussian Process models.

Providing practical experience in the implementation of machine learning methods relevant to biomedical applications, including Gaussian processes, we will illustrate best practices that should be adopted in order to enable reproducibility in any data science application.

This event is sponsored by Cambridge Big Data.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

Bacterial Genome Assembly and Annotation in Galaxy new Thu 8 Jun 2017   09:30 Finished

The workshop will cover the basics of de novo genome assembly using a small genome example. This includes project planning steps, selecting fragment sizes, initial assembly of reads into fully covered contigs, and then assembling those contigs into larger scaffolds that may include gaps. The end result will be a set of contigs and scaffolds with sufficient average length to perform further analysis on, including genome annotation (link to that nomination). This workshop will use tools and methods targeted at small genomes. The basics of assembly and scaffolding presented here will be useful for building larger genomes, but the specific tools and much of the project planning will be different.

This workshop will also introduce genome annotation in the context of small genomes. We’ll begin with genome annotation concepts, and then introduce resources and tools for automatically annotating small genomes. The workshop will finish with a review of options for further automatic and manual tuning of the annotation, and for maintaining it as new assemblies or information becomes available.

This session will include an introduction to the Galaxy platform.

This event is co-organized with EMBL-ABR and the Genomics Virtual Lab. Course materials can be found here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

Basic statistics and data handling Wed 28 Feb 2018   09:30   [More dates...] Finished

This three day course is intended to open doors to applying statistics - whether directly increasing skills and personally undertaking analyses, or by expanding knowledge towards identifying collaborators. The end goal is to drive confident engagement with data analysis and further training - increasing the quality and reliability of interpretation, and putting that interpretation and subsequent presentation into the hands of the researcher. Each day of the course will deliver a mixture of lectures, workshops and hands-on practicals – and will focus on the following specific elements.

Day 1 focuses on basic approaches and the computer skills required to do downstream analysis. Covering: Basic skills for data manipulation in R. How to prepare your data effectively. Principles of experimental design and how this influences analysis.

On day 2, participants will explore the core concepts of statistics – so that they can begin to see how they can be applied to their own work, and to also help with better critical evaluation of the work of others. Covering: Basic statistics concepts and practice: power, variability, false discovery, t-test, effect size, simulations to understand what a p-value means.

On day 3 we will continue to explore core concepts of statistics, focusing on linear regression and multiple testing correction.

Course materials are available here.

This event is supported by the BBSRC Strategic Training Awards for Research Skills (STARS) grant (BB/P022766/1).

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

3 other events...

Date Availability
Wed 7 Dec 2016 09:30 Finished
Mon 3 Apr 2017 09:30 Finished
Wed 30 Aug 2017 09:30 Finished

Version control is the management of changes to documents, computer programs, and other collections of information. Changes are usually identified by a number named the "revision number". Each revision is associated with a timestamp and the person making the change. Revisions can be compared, restored, and with some types of files, merged.

Version control systems like subversion (svn) and git are frequently used for groups writing software and code, but can be used for any kind of files or projects. Many people share their git repositories on GitHub.

This course will provide an introduction to git and how you can use github to share your projects, or for your own private use if you wish.

Course materials can be found here.

This event is part of a series of training courses organized in collaboration with Dr. Mark Dunning at CRUK Cambridge Institute.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

1 other event...

Date Availability
Fri 22 Jul 2016 13:30 Finished
Big Data and Cloud Computing new Fri 1 Jun 2018   09:30 Finished

Recent advances in genomics, proteomics, imaging and other technologies, have resulted in data being generated at a faster rate than they can be meaningfully analysed. In this course we will show you how cloud computing can be used to meet the challenges of storage, management and analysis of big data. The first half of the course will introduce cloud infrastructure technologies. The second half will cover tools for collaborative working, resource management, and creation of workflows. The instructors will demonstrate how they are using cloud computing in their own research.

N.B. If you sign up for this course, you will be automatically registered for an AWS educate account, which will provide you with sufficient AWS credits to complete the course exercises. If you decide to continue using cloud computing after the course, you will need to either purchase more credits or apply for a grant from programs like: AWS Cloud Credits for Research, Microsoft Azure for Research or Google Cloud Platform Education Grants.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

In this course we will introduce web-based, open source tools to analyse and interpret high-throughput biological data.

The main focus will be g:Profiler - a toolset for finding most significant functional groups for a given gene or protein list; MEM - a query engine allowing to mine hundreds of public gene expression datasets to find most co-expressed genes based on a query gene; and ClustVis - a web tool for visualizing clustering of multivariate data using Principal Component Analysis (PCA) plot and heatmap.

MEM and g:Profiler are ELIXIR-Estonia node services.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

Bioinformatics for Principal Investigators Mon 16 Sep 2019   09:30   [More dates...] Finished

The aim of this workshop is to provide principal investigators with an introduction to the challenges of working with biological data and to the best practices, and tools, needed to perform bioinformatics research effectively and reproducibly.

On day 1, we will cover the importance of experimental design, discuss the challenges associated with (i) the analysis of high-throughput sequencing data (utilising RNA-seq as a working example) and (ii) the application of machine learning algorithms, as well as issues relating to reusability and reproducibility.

On day 2, we will put into practice concepts from day 1, running a RNA-seq data analysis pipeline, going from raw reads through differential expression analysis and the interpretation of downstream analysis results. Challenges encountered at each step of the analytical pipeline will be discussed. Please note that day 2 is optional.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

1 other event...

Date Availability
Tue 20 Sep 2016 09:00 Finished

This workshop will introduce students to EMBL-EBI, the databases and services it offers, and basic concepts in bioinformatics that will be of use to their disease related research work.

It will explain the role of the EMBL-EBI in curating and sharing biological data with scientists around the world, and introduce concepts for locating relevant data and information of interest.

Sessions with trainers from Ensembl, ArrayExpress and the GWAS catalog will introduce practical skills in browsing genes and variation in a genomic context, in exploring SNP-trait associations and will show how further understanding can be gained on the location and level of gene expression across the body.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

2 other events...

Date Availability
Thu 3 Dec 2015 09:30 Finished
Mon 31 Oct 2016 09:15 Finished

InterMine is a freely available data integration and analysis system that has been used to create a suite of databases for the analysis of large and complex biological data sets.

InterMine-based data analysis platforms are available for many organisms including mouse, rat, budding yeast, plants, nematodes, fly, zebrafish and more recently human. See here for a comprehensive list of InterMine databases.

The InterMine web interface offers sophisticated query and visualisation tools, as well as comprehensive web services for bioinformaticians. Genomic and proteomic data within InterMine databases includes pathways, gene expression, interactions, sequence variants, GWAS, regulatory data and protein expression.

This course will focus on the InterMine web interface and will introduce participants to all aspects of the user interface, starting with some simple exercises and building up to more complex analysis encompassing several analysis tools and comparative analysis across organisms. The exercises will mainly use the fly, human and mouse databases, but the course is applicable to anyone working with data for which an InterMine database is available.

This event is organised alongside a half day course on Biological data analysis using the InterMine API. More information on this event are available here.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

3 other events...

Date Availability
Thu 26 Nov 2015 09:30 Finished
Mon 7 Nov 2016 10:00 Finished
Fri 27 Oct 2017 09:30 Finished
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