Graduate School of Life Sciences course timetable

This course is aimed at those new to programming and provides an introduction to programming using Perl. By the end of this course, attendees should be able to write simple Perl programs and to understand more complex Perl programs written by others. The course will be taught using the online Learning Perl materials created by Sofia Robb of the University of California Riverside. Further information is available.

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

This course is aimed at those new to programming and provides an introduction to programming using Perl. By the end of this course, attendees should be able to write simple Perl programs and to understand more complex Perl programs written by others. The course will be taught using the online Learning Perl materials created by Sofia Robb of the University of California Riverside. Further information is available.

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

An Introduction to R: Software For Statistical Analysis, with Dr Simon R. White, MRC Biostatistics Unit, and Dr Adam P. Wagner, University of Cambridge.

GNU R is (freely) available for all major platforms (Microsoft Windows, Linux, Mac, etc.) and is growing in popularity in academia and beyond for carrying out statistical analysis and data manipulation.

The aim of the course is to introduce participants to the basics of statistical analysis and the open source statistical software GNU R.

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.

An Introduction to R: Software For Statistical Analysis, with Dr Simon R. White, MRC Biostatistics Unit, and Dr Adam P. Wagner, University of Cambridge.

GNU R is (freely) available for all major platforms (Microsoft Windows, Linux, Mac, etc.) and is growing in popularity in academia and beyond for carrying out statistical analysis and data manipulation.

The aim of the course is to introduce participants to the basics of statistical analysis and the open source statistical software GNU R.

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.

An Introduction to R: Software For Statistical Analysis, with Dr Simon R. White, MRC Biostatistics Unit, and Dr Adam P. Wagner, University of Cambridge.

GNU R is (freely) available for all major platforms (Microsoft Windows, Linux, Mac, etc.) and is growing in popularity in academia and beyond for carrying out statistical analysis and data manipulation.

The aim of the course is to introduce participants to the basics of statistical analysis and the open source statistical software GNU R.

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.

This course provides a gentle and practical introduction to the writing of Python programs for the complete novice. Participants are lead through 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. Further information is available.

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

This course provides a gentle and practical introduction to the writing of Python programs for the complete novice. Participants are lead through 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. Further information is available.

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

This course provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented. Further information is available.

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.

This course provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented. Further information is available.

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.

This course introduces researchers to a multidisciplinary approach to microarray data analysis. Attention is devoted to the design of microarray experiments, data normalization and quality control as well as to statistical analysis. 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.

This course introduces researchers to a multidisciplinary approach to microarray data analysis. Attention is devoted to the design of microarray experiments, data normalization and quality control as well as to statistical analysis. 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.

This course introduces researchers to a multidisciplinary approach to microarray data analysis. Attention is devoted to the design of microarray experiments, data normalization and quality control as well as to statistical analysis. 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.

The aim of this course is to provide hands-on experience in analysing NGS data, including:

• Knowledge of the various sequencing technologies, data formats and analysis workflows commonly used in "'NGS'" analysis workflows
• Hands-on experience with common analytical workflows for ChIP-seq, RNASeq data and De Novo Genome Assemblies using computer exercises.
• An overview of available tools and discuss their limitations.

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 or register Interest by linking here.

The aim of this course is to provide hands-on experience in analysing NGS data, including:

• Knowledge of the various sequencing technologies, data formats and analysis workflows commonly used in "'NGS'" analysis workflows
• Hands-on experience with common analytical workflows for ChIP-seq, RNASeq data and De Novo Genome Assemblies using computer exercises.
• An overview of available tools and discuss their limitations.

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 or register Interest by linking here.

This course provides a gentle and 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. Further information is available.

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.

This course provides a gentle and 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. Further information is available.

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.

This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing high-throughput sequencing data. We will present workflows for the analysis of CHip-Seq and RNA-seq, as well as tools to annotate and visualise results derived from other sequencing experiments (such as DNA resequencing) 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.

This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing high-throughput sequencing data. We will present workflows for the analysis of CHip-Seq and RNA-seq, as well as tools to annotate and visualise results derived from other sequencing experiments (such as DNA resequencing) 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.

This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing high-throughput sequencing data. We will present workflows for the analysis of CHip-Seq and RNA-seq, as well as tools to annotate and visualise results derived from other sequencing experiments (such as DNA resequencing) 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.