Bioinformatics course timetable
December 2020
| Mon 7 |
This 1-week course provides an introduction to data exploration of biological data. It provides a learning journey starting with learning about how we can automate processes that can be reproduced to analyse our biological data. The course will begin with discussing what opportunities and challenges are associated with aspects of bioinformatics analyses. We will address a subset of them in greater detail in the central part of the course and provide time for participants to practise using some of the associated bioinformatics tools. Focusing on solutions around handling biological data, we will cover programming in R, version control, statistical analyses, and data exploration. The R component of the course will cover from the foundations of programming in R to how to use some of the most popular R packages (dplyr and ggplot2) for data manipulation and visualisation. No prior R experience or previous knowledge of programming is required. At the end of the course we will address issues relating to reusability and reproducibility. More information about 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. |
| Tue 8 |
This 1-week course provides an introduction to data exploration of biological data. It provides a learning journey starting with learning about how we can automate processes that can be reproduced to analyse our biological data. The course will begin with discussing what opportunities and challenges are associated with aspects of bioinformatics analyses. We will address a subset of them in greater detail in the central part of the course and provide time for participants to practise using some of the associated bioinformatics tools. Focusing on solutions around handling biological data, we will cover programming in R, version control, statistical analyses, and data exploration. The R component of the course will cover from the foundations of programming in R to how to use some of the most popular R packages (dplyr and ggplot2) for data manipulation and visualisation. No prior R experience or previous knowledge of programming is required. At the end of the course we will address issues relating to reusability and reproducibility. More information about 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. |
| Wed 9 |
This 1-week course provides an introduction to data exploration of biological data. It provides a learning journey starting with learning about how we can automate processes that can be reproduced to analyse our biological data. The course will begin with discussing what opportunities and challenges are associated with aspects of bioinformatics analyses. We will address a subset of them in greater detail in the central part of the course and provide time for participants to practise using some of the associated bioinformatics tools. Focusing on solutions around handling biological data, we will cover programming in R, version control, statistical analyses, and data exploration. The R component of the course will cover from the foundations of programming in R to how to use some of the most popular R packages (dplyr and ggplot2) for data manipulation and visualisation. No prior R experience or previous knowledge of programming is required. At the end of the course we will address issues relating to reusability and reproducibility. More information about 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. |
| Thu 10 |
This 1-week course provides an introduction to data exploration of biological data. It provides a learning journey starting with learning about how we can automate processes that can be reproduced to analyse our biological data. The course will begin with discussing what opportunities and challenges are associated with aspects of bioinformatics analyses. We will address a subset of them in greater detail in the central part of the course and provide time for participants to practise using some of the associated bioinformatics tools. Focusing on solutions around handling biological data, we will cover programming in R, version control, statistical analyses, and data exploration. The R component of the course will cover from the foundations of programming in R to how to use some of the most popular R packages (dplyr and ggplot2) for data manipulation and visualisation. No prior R experience or previous knowledge of programming is required. At the end of the course we will address issues relating to reusability and reproducibility. More information about 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. |
| Fri 11 |
This 1-week course provides an introduction to data exploration of biological data. It provides a learning journey starting with learning about how we can automate processes that can be reproduced to analyse our biological data. The course will begin with discussing what opportunities and challenges are associated with aspects of bioinformatics analyses. We will address a subset of them in greater detail in the central part of the course and provide time for participants to practise using some of the associated bioinformatics tools. Focusing on solutions around handling biological data, we will cover programming in R, version control, statistical analyses, and data exploration. The R component of the course will cover from the foundations of programming in R to how to use some of the most popular R packages (dplyr and ggplot2) for data manipulation and visualisation. No prior R experience or previous knowledge of programming is required. At the end of the course we will address issues relating to reusability and reproducibility. More information about 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. |
January 2021
| Thu 14 |
PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. This course provides an introduction to the basic theory and concepts of network analysis. Attendees will learn how to construct protein-protein interaction networks and subsequently use these to overlay large-scale data such as that obtained through RNA-Seq or mass-spec proteomics. The course will focus on giving attendees hands-on experience in the use of Cytoscape, an open source software platform for complex network analysis and visualization. The course will also access and analyse the data through Cytoscape apps, including IntAct. 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 |
PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. This course provides an introduction to the basic theory and concepts of network analysis. Attendees will learn how to construct protein-protein interaction networks and subsequently use these to overlay large-scale data such as that obtained through RNA-Seq or mass-spec proteomics. The course will focus on giving attendees hands-on experience in the use of Cytoscape, an open source software platform for complex network analysis and visualization. The course will also access and analyse the data through Cytoscape apps, including IntAct. 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 20 |
PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. Day 1 will introduce you to next generation sequencing technologies (NGS) and how they work, providers, common bioinformatics workflows, standardised file types, quality control. This session will include an introduction to Galaxy. Galaxy is an open, web-based platform for data-intensive life science research that enables non-bioinformaticians to create, run, tune, and share their own bioinformatic analyses. Day 2 will be hands-on practicals on using Galaxy to explore sequencing quality control, before and after removal of low quality samples. This forms the core of all NGS analyses and this day will conclude with how this data pipes into gene expression studies, variant calling and genome assemblies. 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 21 |
PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. Day 1 will introduce you to next generation sequencing technologies (NGS) and how they work, providers, common bioinformatics workflows, standardised file types, quality control. This session will include an introduction to Galaxy. Galaxy is an open, web-based platform for data-intensive life science research that enables non-bioinformaticians to create, run, tune, and share their own bioinformatic analyses. Day 2 will be hands-on practicals on using Galaxy to explore sequencing quality control, before and after removal of low quality samples. This forms the core of all NGS analyses and this day will conclude with how this data pipes into gene expression studies, variant calling and genome assemblies. 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. |
