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Bioinformatics Training

Bioinformatics course timetable

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Fri 6 Jul – Fri 28 Sep

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July 2018

Fri 6
R object-oriented programming and package development Finished 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

The course will teach intermediate R object-oriented programming and how to build a fully functional R package.

Relevant teaching materials are available here and the sequences example package used as template in the 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.

Mon 9
Image Analysis for Biologists (1 of 3) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines.

On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on Fiji, an extensible open source software package.

On day 2, we will cover time series processing and cell tracking using TrackMate and advanced image segmentation using Ilastik. Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments.

On day 3, we will describe the open Icy platform developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager).

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.

Tue 10
Image Analysis for Biologists (2 of 3) Finished 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines.

On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on Fiji, an extensible open source software package.

On day 2, we will cover time series processing and cell tracking using TrackMate and advanced image segmentation using Ilastik. Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments.

On day 3, we will describe the open Icy platform developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager).

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.

Wed 11
Image Analysis for Biologists (3 of 3) Finished 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines.

On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on Fiji, an extensible open source software package.

On day 2, we will cover time series processing and cell tracking using TrackMate and advanced image segmentation using Ilastik. Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments.

On day 3, we will describe the open Icy platform developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager).

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 12
An Introduction to Solving Biological Problems with Python (1 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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. Functions and modules are now the focus of a new 1-day course, Working with Python: functions and modules.

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

Fri 13
An Introduction to Solving Biological Problems with Python (2 of 2) Finished 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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. Functions and modules are now the focus of a new 1-day course, Working with Python: functions and modules.

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

Mon 16
Variant Discovery with GATK4 (1 of 4) In progress 09:30 - 16:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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 germline GVCF workflow for joint variant discovery in cohorts, somatic variant discovery using MuTect2, and copy number variation discovery using GATK-CNV. All analyses are demonstrated using GATK version 4. Finally, we demonstrate the use of pipelining tools to assemble and execute GATK workflows.

The workshop covers basic genomics, all currently supported Best Practices pipelines as well as pipelining with WDL/Cromwell/FireCloud. This includes the logic of the major pipelines, file formats and data transformations involved, and hands-on operation of the tools using goal-oriented exercises.

  • Day 1: Introduction to Genomics, GATK Best Practices and Pipelining
  • Day 2: Germline short variant discovery (SNPs + Indels)
  • Day 3: Somatic variant discovery (SNVs + Indels + CNVs)
  • Day 4: Writing pipelines with WDL and running them in FireCloud

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.

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 17
Variant Discovery with GATK4 (2 of 4) In progress 09:30 - 16:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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 germline GVCF workflow for joint variant discovery in cohorts, somatic variant discovery using MuTect2, and copy number variation discovery using GATK-CNV. All analyses are demonstrated using GATK version 4. Finally, we demonstrate the use of pipelining tools to assemble and execute GATK workflows.

The workshop covers basic genomics, all currently supported Best Practices pipelines as well as pipelining with WDL/Cromwell/FireCloud. This includes the logic of the major pipelines, file formats and data transformations involved, and hands-on operation of the tools using goal-oriented exercises.

  • Day 1: Introduction to Genomics, GATK Best Practices and Pipelining
  • Day 2: Germline short variant discovery (SNPs + Indels)
  • Day 3: Somatic variant discovery (SNVs + Indels + CNVs)
  • Day 4: Writing pipelines with WDL and running them in FireCloud

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.

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 18
Variant Discovery with GATK4 (3 of 4) In progress 09:30 - 16:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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 germline GVCF workflow for joint variant discovery in cohorts, somatic variant discovery using MuTect2, and copy number variation discovery using GATK-CNV. All analyses are demonstrated using GATK version 4. Finally, we demonstrate the use of pipelining tools to assemble and execute GATK workflows.

The workshop covers basic genomics, all currently supported Best Practices pipelines as well as pipelining with WDL/Cromwell/FireCloud. This includes the logic of the major pipelines, file formats and data transformations involved, and hands-on operation of the tools using goal-oriented exercises.

  • Day 1: Introduction to Genomics, GATK Best Practices and Pipelining
  • Day 2: Germline short variant discovery (SNPs + Indels)
  • Day 3: Somatic variant discovery (SNVs + Indels + CNVs)
  • Day 4: Writing pipelines with WDL and running them in FireCloud

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.

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 19
Variant Discovery with GATK4 (4 of 4) In progress 09:30 - 16:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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 germline GVCF workflow for joint variant discovery in cohorts, somatic variant discovery using MuTect2, and copy number variation discovery using GATK-CNV. All analyses are demonstrated using GATK version 4. Finally, we demonstrate the use of pipelining tools to assemble and execute GATK workflows.

The workshop covers basic genomics, all currently supported Best Practices pipelines as well as pipelining with WDL/Cromwell/FireCloud. This includes the logic of the major pipelines, file formats and data transformations involved, and hands-on operation of the tools using goal-oriented exercises.

  • Day 1: Introduction to Genomics, GATK Best Practices and Pipelining
  • Day 2: Germline short variant discovery (SNPs + Indels)
  • Day 3: Somatic variant discovery (SNVs + Indels + CNVs)
  • Day 4: Writing pipelines with WDL and running them in FireCloud

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.

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 20
Using the Ensembl Genome Browser [Places] 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

The Ensembl Project provides a comprehensive and integrated source of annotation of, mainly vertebrate, genome sequences. This workshop offers a comprehensive practical introduction to the use of the Ensembl genome browser as well as essential background information.

This course will focus on the vertebrate genomes in Ensembl, however much of what will be covered is also applicable to the non-vertebrates (plants, bacteria, fungi, metazoa and protists) in Ensembl Genomes.

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.

Mon 30
CRUK: Image Analysis with Fiji [Places] 12:30 - 17:00 eLearning 1 - School of Clinical Medicine

Fiji/ImageJ is a popular open-source image analysis software application. This course will briefly cover introductory aspects of image processing and analysis theory, but will focus on practical sessions where participants will gain hands on experience with Fiji.

This course is run by the CRUK CI Light microscopy core facility.

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.

September 2018

Mon 3
Introduction to RNA-seq data analysis (1 of 3) [Places] 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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.

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.

Tue 4
Introduction to RNA-seq data analysis (2 of 3) [Places] 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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.

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.

Wed 5
Introduction to RNA-seq data analysis (3 of 3) [Places] 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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.

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 6
An Introduction to Solving Biological Problems with Python (1 of 2) [Places] 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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. Functions and modules are now the focus of a new 1-day course, Working with Python: functions and modules.

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

Fri 7
An Introduction to Solving Biological Problems with Python (2 of 2) [Places] 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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. Functions and modules are now the focus of a new 1-day course, Working with Python: functions and modules.

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

Thu 27
An Introduction to Machine Learning (1 of 2) [Full] 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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.

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

Fri 28
An Introduction to Machine Learning (2 of 2) [Full] 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

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.

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