Courses - 2016


2016-11-28 - 2016-12-02, Course | Umeå

Introduction to Bioinformatics using NGS data, 2 hp

The course will provide an entry-level introduction to a wide range of analytical techniques for massively parallel sequencing, including basic Linux commands. We will pair lectures on the theory of analysis algorithms with practical computational exercises demonstrating the use of common tools for analyzing data from each of several common sequencing study designs.

2016-11-28 - 2016-12-02, Course | Uppsala

R Programming Foundations for Life Scientists, 2 hp

The course is addressed to life scientists with little or moderate experience in programming but enthusiastic about learning how to use R to make their work smoother and easier.

2016-11-22 - 2016-11-23, Course | Uppsala

Metagenomics, 1 hp

During the two-day SciLifeLab metagenomics course, the participants will be brought up to date with the current state-of-the-art in the rapidly emerging field of environmental genomics, including metagenomics and single cell genomics. The course will focus on computational methods for assembly and functional annotation of environmental genomics data.

2016-11-14 - 2016-11-16, Course | Uppsala

De novo Genome Assembly, 1 hp

The course will cover assembly of both prokaryotes and eukaryotes (see our sister course in metagenomics for assembly of mixed/environmental samples) and spend a lot of time on learning how to run the analyses in hands-on computer exercises. Applicants will be taken through all steps of a genome assembly project, from the quality assessment of data, through assembly, to validation of assemblies.

2016-11-14 - 2016-11-18, Course | Uppsala

Introduction to Image Analysis

BioVis offers the course ”Introduction to Image Analysis Software (IAS)” twice a year. The Course “Introduction to Image Analysis Software (IAS) is aiming at those starting to analyze scientific images or are familiar with it and want an introduction to often used software packages. The course covers lectures and hands-on sessions on softwares like Image […]

2016-11-07 - 2016-11-18, Course | Stockholm

Omics data analysis: From quantitative data to biological information, 3 ETC

The course contains lectures and software demonstrations. The students will participate in a literature study with discussions in seminar groups as well a student exam project. The students will also be able to download and use some of the software in workshops during the course.

2016-10-25 - 2016-10-27, Course | Uppsala

RNA-seq, 1 hp

This course will cover both theoretical and hands-on exposure to current topics in RNA-seq analysis. Lectures from experts in RNA-seq and biostatistics will cover a range of cutting-edge issues in RNA quality control, transcript assembly in model and non-model organisms, differential expression analysis and downstream analysis using other types of data. An extensive case study in the computer lab will familiarize you with concepts of mapping, quality control of your RNA-seq data, de novo assembly, assembly using a reference, differential expression analysis and downstream enrichment analysis.

2016-10-10 - 2016-10-14, Course | Uppsala

Perl Programming with Application to Bioinformatics, 2 hp

Perl is the ideal programming language for biological data analysis. The course is for students with little or no prior knowledge in perl. Familiarity in using a Unix command line (e.g. Mac OSX or Linux) is a requirement for the course. It is aimed at students who need computational skills to handle large datasets. The course will follow the book “Learning Perl”. It will consist of lectures to introduce all topics and computer assignments to be completed individually after each lecture. The course will also include practical computational exercises.

2016-10-10 - 2016-10-21, Course | Stockholm

Mass spectrometry based Proteomics: When and how, 3 hp

The aim of this course is to give an overview of mass spectrometry based proteomics for researchers that will apply these techniques in their own research.

2016-10-05 - 2016-10-14, Course | Uppsala

Methods for Cell Analysis

BioVis offers the course ”Methods for Cell Analysis (MCA)” twice a year. The Course Methods for Cell Analysis (MCA) is aimed at the postgraduate student, post-doc and even research engineer who wants to get an overview and in depth knowledge about the recent technologies on the field of Light Microscopy, Flow Cytometry and Electron Microscopy. […]

2016-09-19 - 2016-09-23, Course | Uppsala

Introduction to Bioinformatics using NGS data, 2 hp

The course will provide an entry-level introduction to a wide range of analytical techniques for massively parallel sequencing, including basic Linux commands. We will pair lectures on the theory of analysis algorithms with practical computational exercises demonstrating the use of common tools for analyzing data from each of several common sequencing study designs.

2016-08-30 - 2016-09-01, Course | Umeå

Introduction to Electron Microscopy, 1 ECTS

This course covers fundamental theory and operational principles as well as specimen preparation techniques for scanning and transmission electron microscopy (SEM/TEM).

2016-08-29 - 2016-09-09, Course | Uppsala

Advanced Molecular Technology and Instrumentation for Proteome Analyses, 3 hp

Description The course will provide insight into state-of-the-art technologies for proteome analyses in research and medicine via advanced molecular technologies, reagent resources and instrumentation. The course will be organized by the proteomics platforms at Science for Life Laboratory, Uppsala, and will convey, by lectures and hands-on training, information about established and emerging methods and technologies […]

2016-05-23 - 2016-05-27, Course | Uppsala

Perl Programming with Application to Bioinformatics, 2 hp

Perl is the ideal programming language for biological data analysis. The course is for students with little or no prior knowledge in perl. Familiarity in using a command line would be beneficial. It is aimed at students who need computational skills to handle large datasets. The course will follow the book “Learning Perl”. It will consist of lectures to introduce all topics and computer assignments to be completed individually after each lecture. It will also include interactive sessions in a computer lab.
To complete the course, students are expected to complete a short project, either from their own work or pre-defined.

2016-05-23 - 2016-05-27, Course | Uppsala

Introduction to Image Analysis

BioVis offers the course ”Introduction to Image Analysis Software (IAS)” twice a year. The Course “Introduction to Image Analysis Software (IAS) is aiming at those starting to analyze scientific images or are familiar with it and want an introduction to often used software packages. The course covers lectures and hands-on sessions on softwares like Image […]

2016-05-16 - 2016-06-03, Course |

Doctoral course: Super-Resolution fluorescence microscopy, 3 Hp

The course aims to provide all participants with training in the fundamental theoretical and experimental aspects of super-resolution microscopy (Nobel Prize in 2014). Scientific tutorials will introduce fundamental and advance aspects of super-resolution fluorescence microscopy. Experimental demo-session will further deepen the understanding and applicability of super-resolution microscopy. As the name implies, super-resolution fluorescence microscopy is […]

2016-04-27 10:15 - 17:15, Course | Stockholm

FCS practical course, 0.5 hp

One day practical course on Fluorescence Correlation Spectroscopy – FCS Wednesday April 27th, Scilifelab Stockholm, Gamma building, 3rd floor Instructors: Stefan Wennmalm, Lei Xu, and Jan Bergstrand Program 10.15 Welcome, introduction to FCS and practical applications – Jerker Widengren and Stefan Wennmalm 11.30 Measurements/own project discussion, 4 persons per group 12.45 Lunch 13.45 Measurements/own project discussion, […]

2016-04-26 - 2016-04-27, Course | Uppsala

Introduction to Genome Annotation, 1 hp

The focus of the course will be on non-model eukaryote organisms, and in particular the structural annotation of protein coding genes. We will use de novo gene finders, protein alignments and rna-seq data to infer the structure of genes, and show how to combine these different lines of evidence to get the most stable and informative annotation. We will also infer the function of these genes using similarity to known proteins as well as the presence of functional domains.

2016-04-26 - 2016-04-28, Course | Uppsala

Single cell analysis of microbes – a practical and theoretical workshop

The Microbial Single Cell Genomic facility, a part of the SciLifeLab platform Functional Genomics, will host a two days course on single cell analysis, with particular emphasis on genomics. The course aims at introducing the field by hands on laboratory work at the facility in combination with lectures ranging from cell sorting, whole genome amplification to data handling.

2016-04-20 - 2016-04-29, Course | Uppsala

Methods for Cell Analysis

BioVis offers the course ”Methods for Cell Analysis (MCA)” twice a year. The Course Methods for Cell Analysis (MCA) is aimed at the postgraduate student, post-doc and even research engineer who wants to get an overview and in depth knowledge about the recent technologies on the field of Light Microscopy, Flow Cytometry and Electron Microscopy. […]

2016-04-18 - 2016-04-22, Course | Linköping

Introduction to Bioinformatics using NGS data, 2 hp

The course will provide an entry-level introduction to a wide range of analytical techniques for massively parallel sequencing, including basic linux commands. We will pair lectures on the theory of analysis algorithms with practical computational exercises demonstrating the use of common tools for analyzing data from each of several common sequencing study designs.

2016-04-12 - 2016-04-14, Course | Uppsala

RNA-seq, 1 hp

This course will cover both theoretical and hands-on exposure to current topics in RNA-seq analysis. Lectures from experts in RNA-seq and biostatistics will cover a range of cutting-edge issues in RNA quality control, transcript assembly in model and non-model organisms, differential expression analysis and downstream analysis using other types of data. An extensive case study in the computer lab will familiarize you with concepts of mapping, quality control of your RNA-seq data, de novo assembly, assembly using a reference, differential expression analysis and downstream enrichment analysis.

2016-01-25 - 2016-01-29, Course | Uppsala

Introduction to Bioinformatics using NGS data, 2 hp

The course will provide an entry-level introduction to a wide range of analytical techniques for massively parallel sequencing, including basic Linux commands. We will pair lectures on the theory of analysis algorithms with practical computational exercises demonstrating the use of common tools for analyzing data from each of several common sequencing study designs.