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Bioinformatics Training

Bioinformatics course timetable

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Tue 14 Jun 2016 – Fri 22 Jul 2016

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June 2016

Tue 14
Variant Analysis with GATK (2 of 2) Finished 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building

This workshop will focus on the core steps involved in calling variants with the Broad’s Genome Analysis Toolkit, using the “Best Practices” developed by the GATK team. You will learn why each step is essential to the variant discovery process, what are the operations performed on the data at each step, and how to use the GATK tools to get the most accurate and reliable results out of your dataset.

In the course of this workshop, we highlight key functionalities such as the GVCF workflow for joint variant discovery in cohorts, RNAseq­ specific processing, and somatic variant discovery using MuTect2. We also preview capabilities of the upcoming GATK version 4, including a new workflow for CNV discovery.

The workshop is composed of one day of lectures (including many opportunities for Q&A) and one day of hands­on training. On the first day, we explain the rationale, theory and application of our Best Practices for Variant Discovery in high­-throughput sequencing data. On the second day, we walk attendees through hands­on exercises that teach how to manipulate the standard data formats involved in variant discovery and how to apply GATK tools appropriately to various use cases and data types. In the course of these exercises, we demonstrate useful tips and tricks for interacting with GATK, dealing with problems, and using third­party tools such as Samtools, IGV and RStudio.

Please note that this workshop is focused on human data analysis. The majority of the materials presented does apply equally to non ­human data, and we will address some questions regarding adaptations that are needed for analysis of non­ human data, but we will not go into much detail on those points.

The timetable 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 Interest by linking here.

Thu 16
An Introduction to Solving Biological Problems with Python (1 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

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 from scratch and to customize more complex code to fit their needs.

The Course Web Site 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.

Fri 17
An Introduction to Solving Biological Problems with Python (2 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

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 from scratch and to customize more complex code to fit their needs.

The Course Web Site 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.

Mon 20
An introduction to metabolomics and its application in life-sciences (1 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

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.

A draft agenda 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.

CRUK: Basic Unix Finished 11:00 - 17:00 Room 215, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE

The Unix shell has existed since the early days of computers, and yet is still the preferred way to run many popular Bioinformatics tools. This course aims to take the novice and turn them into a beginning Linux user. We will describe the Linux environment so they can start to utilize command-line tools and feel comfortable using a text-based way of interacting with a computer.

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.

Tue 21
An introduction to metabolomics and its application in life-sciences (2 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

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.

A draft agenda 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.

CRUK: Introduction to Statistical Analysis new Finished 10:30 - 16:30 Room 215, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE

This course provides a refresher on the foundations of statistical analysis. The emphasis is on interpreting the results of a statistical test, and being able to determine the correct test to apply.

Practicals are conducted using a series of online apps, and we will not teach a particular statistical analysis package, such as R. For courses that teach R, please see the links under "Related courses" .

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.

Wed 22
Analysis of single cell RNA-seq data new Finished 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building

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.

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 by linking here.

Thu 23
An Introduction to MATLAB for biologists (1 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

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.

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.

Fri 24
An Introduction to MATLAB for biologists (2 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

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.

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.

Mon 27
Ensembl API workshop (1 of 4) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

The Ensembl project provides a comprehensive and integrated source of annotation of mainly vertebrate genome sequences.

This workshop is aimed at researchers and developers interested in exploring Ensembl beyond the website. The workshop covers the core, compara, variation and functional genomics (regulation) databases and APIs. The Ensembl Perl API Documentation can be found here.

For each of these, the database schema and the API design as well as the most important objects and their methods will be presented. This will be followed by practical sessions in which the participants can put theoretical learning into practice by writing their own Perl scripts.

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

Tue 28
Ensembl API workshop (2 of 4) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

The Ensembl project provides a comprehensive and integrated source of annotation of mainly vertebrate genome sequences.

This workshop is aimed at researchers and developers interested in exploring Ensembl beyond the website. The workshop covers the core, compara, variation and functional genomics (regulation) databases and APIs. The Ensembl Perl API Documentation can be found here.

For each of these, the database schema and the API design as well as the most important objects and their methods will be presented. This will be followed by practical sessions in which the participants can put theoretical learning into practice by writing their own Perl scripts.

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

Wed 29
Ensembl API workshop (3 of 4) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

The Ensembl project provides a comprehensive and integrated source of annotation of mainly vertebrate genome sequences.

This workshop is aimed at researchers and developers interested in exploring Ensembl beyond the website. The workshop covers the core, compara, variation and functional genomics (regulation) databases and APIs. The Ensembl Perl API Documentation can be found here.

For each of these, the database schema and the API design as well as the most important objects and their methods will be presented. This will be followed by practical sessions in which the participants can put theoretical learning into practice by writing their own Perl scripts.

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

Thu 30
Ensembl API workshop (4 of 4) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

The Ensembl project provides a comprehensive and integrated source of annotation of mainly vertebrate genome sequences.

This workshop is aimed at researchers and developers interested in exploring Ensembl beyond the website. The workshop covers the core, compara, variation and functional genomics (regulation) databases and APIs. The Ensembl Perl API Documentation can be found here.

For each of these, the database schema and the API design as well as the most important objects and their methods will be presented. This will be followed by practical sessions in which the participants can put theoretical learning into practice by writing their own Perl scripts.

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

July 2016

Fri 1
Introduction to Scientific Figure Design Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

This course provides a practical guide to producing figures for use in reports and publications.

It is a wide ranging course which looks at how to design figures to clearly and fairly represent your data, the practical aspects of graph creation, the allowable manipulation of bitmap images and compositing and editing of final figures.

The course will use a number of different open source software packages and is illustrated with a number of example figures adapted from common analysis tools.

Further information and access 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 or register Interest by linking here.

Wed 6
Data Analysis and Visualisation in R new Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

This course introduces some relatively new additions to the R programming language: dplyr and ggplot2. In combination these R packages provide a powerful toolkit to make the process of manipulating and visualising data easy and intuitive.

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 by linking here.

Fri 8
Interpreting the clinical genome with DECIPHER new Finished 09:30 - 12:30 Bioinformatics Training Room, Craik-Marshall Building

DECIPHER is a collaborative data sharing and interpretation platform that enables the secure upload, analysis and subsequent sharing of anonymised phenotype-linked patient variant data in rare genetic disorders.

DECIPHER is a worldwide user community of over 250 clinical genetics centres and research groups from over 40 countries that utilise the built-in tools for aiding the interpretation of variants as well as to discover other patients that share similar phenotype and genomic findings.

DECIPHER facilitates collaboration and exchange of information between a global community of clinical centers and researchers leading thereby accelerating discovery and diagnosis. Access to consented anonymised records is free to all users. User accounts are provided to bona-fide clinicians and lab scientists to enable deposition and sharing of anonymised patient data.

The purpose of this half-day workshop is to acquaint participants with the DECIPHER website and database and introduce the various built-in tools for visualisation and interpretation of phenotype-linked genomic variation in anonymised consented patient data. It is hoped that by the end of this workshop, users will be able to carry out effective searches of data, use the built-in genome browser to visualise variation in context of other pathogenic and reference data sources, find other patients with similar variants and shared phenotypes, and identify most likely causes of phenotypic presentation by gene prioritisation.

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.

Mon 11
Train the Trainer new (1 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

This course aims to provide new trainers with guidance and tips for developing and delivering training in bioinformatics, exploring a range of methods appropriate to different learning styles and examining the requirements for a successful course (both scientific and logistic).

Tue 12
Train the Trainer new (2 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

This course aims to provide new trainers with guidance and tips for developing and delivering training in bioinformatics, exploring a range of methods appropriate to different learning styles and examining the requirements for a successful course (both scientific and logistic).

Wed 13
Biological Imaging Data Management for Facility Managers new Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

The Open Microscopy Environment (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data.

OME has three components:

  • OME-TIFF, standardised file format and data model;
  • Bio-Formats, a software library for reading proprietary image file formats; and
  • OMERO, a software platform for image data management and analysis.

In this one day course, we will present the OMERO platform, and show how Facility Managers can use it to manage users, groups, and their microscopy, HCS and digital pathology data.

Help pages on 'Using OMERO for Facility Managers' can be found here.

This course is organized alongside a one day course on Biological Imaging Data Management for Life Scientists. More information on this event are available here.

This course will be delivered by members of the OMERO team. The OME project is supported by BBSRC and Wellcome Trust.

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.

Thu 14
Biological Imaging Data Management for Life Scientists new Finished 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building

The Open Microscopy Environment (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data.

OME has three components:

  • OME-TIFF, standardised file format and data model;
  • Bio-Formats, a software library for reading proprietary image file formats; and
  • OMERO, a software platform for image data management and analysis.

In this one day course, we will present the OMERO platform, and show how to import, organise, view, search, annotate and publish imaging data. Additionally, we will briefly introduce how to use a variety of analysis tools with OMERO.

This course is organized alongside a one day course on Biological Imaging Data Management for Facility Managers. More information on this event are available here.

This course will be delivered by members of the OMERO team. The OME project is supported by BBSRC and Wellcome Trust.

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.

Fri 15
EMBL-EBI: Network Analysis with Cytoscape and PSICQUIC Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

This workshop will guide novice users through the process of analysing interaction networks – that allow biologists to map and characterise signalling pathways and to predict the function of unknown proteins. It will use practical examples in the popular open-source tool Cytoscape and the PSICQUIC client to access several protein interaction repositories at the same time to integrate protein data from different sources. Data from external sources will then be incorporated using different Cytoscape apps to perform clustering and GO enrichment analysis over our newly created networks.

The timetable for this event 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.

Mon 18
Introduction to RNA-seq and ChIP-seq data analysis (1 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

The aim of this course is to familiarize the participants with the primary analysis of datasets generated through two popular high-throughout sequencing (HTS) assays: ChIP-seq and RNA-seq.

This course starts with a brief introduction to the transition from capillary to high-throughput sequencing (HTS) and discusses quality control issues, which are common among all HTS datasets.

Next, we will present the alignment step and how it differs between the two analysis workflows.

Finally, we focus on dataset specific downstream analysis, including peak calling and motif analysis for ChIP-seq and quantification of expression, transcriptome assembly and differential expression analysis for RNA-seq.

The timetable for this event 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 Interest by linking here.

Tue 19
Introduction to RNA-seq and ChIP-seq data analysis (2 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

The aim of this course is to familiarize the participants with the primary analysis of datasets generated through two popular high-throughout sequencing (HTS) assays: ChIP-seq and RNA-seq.

This course starts with a brief introduction to the transition from capillary to high-throughput sequencing (HTS) and discusses quality control issues, which are common among all HTS datasets.

Next, we will present the alignment step and how it differs between the two analysis workflows.

Finally, we focus on dataset specific downstream analysis, including peak calling and motif analysis for ChIP-seq and quantification of expression, transcriptome assembly and differential expression analysis for RNA-seq.

The timetable for this event 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 Interest by linking here.

Fri 22
Beginners guide to version control with git Finished 13:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building

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.

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.