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18 materials found

Keywords: computer-science  or Genomics 


CPANG19 - Computational PANGenomics (2019)

Reference genomes have become central to bioinformatics approaches, and form the core of standard analyses using contemporary sequencing data. However, the use of linear reference genomes, which provide the sequence of one representative genome for a species, is increasingly becoming a limitation...

Keywords: Genomics

Resource type: Documentation, Exercise, Handout, Scripts

ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)

This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. For this edition of the course, we will also...

Keywords: RNA-Seq, Genomics, RNA

Resource type: Documentation, Exercise, Handout, Scripts

ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)

This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. For this edition of the course, we will also...

Keywords: RNA-Seq, Genomics, RNA

Resource type: Documentation, Exercise, Handout, Scripts

CPANG18 - Computational PANGenomics (2018)

Reference genomes have become central to bioinformatics approaches, and form the core of standard analyses using contemporary sequencing data. However, the use of linear reference genomes, which provide the sequence of one representative genome for a species, is increasingly becoming a limitation...

Keywords: Genomics

Resource type: Documentation, Exercise, Handout, Scripts

ADER18F - Analysis of Differential Expression with RNAseq (First course in 2018)

This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. We we will also cover some of the initial...

Keywords: RNA-Seq, Genomics, RNA

Resource type: Documentation, Exercise, Handout, Scripts

PanelApp Reviewer’s Guide

PanelApp (https://panelapp.genomicsengland.co.uk/) is a database for gene panels for use in disease diagnosis that enables crowdsourcing of expert reviews. This guide provides background, evidence guidelines and a tutorial of how to use the review tool in PanelApp to provide your expert review of...

Scientific topics: Rare diseases, Genomics

Keywords: Gene lists, Genomics, human disease, Biocuration

Resource type: knowledgebase

ELIXIR TtR course: Basic genomics using advanced analysis tools

Materials from the ELIXIR workshop “ELIXIR TtR course: Basic genomics using advanced analysis tools”, Nov 5-6 2018 at the University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia

Scientific topics: Genomics

Keywords: Galaxy, training, Genomics, eLearning, EeLP

Resource type: course materials, Training materials, Slides

Big Data, Genes, and Medicine

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to...

Keywords: life-sciences, computer-science, bioinformatics, algorithms

Bioinformatics Capstone: Big Data in Biology

In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data.

In particular, in a series of Application Challenges will see how genome assembly can be used...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Finding Hidden Messages in DNA (Bioinformatics I)

Named a top 50 MOOC of all time by Class Central!

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat.

In the first half of the...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Finding Mutations in DNA and Proteins (Bioinformatics VI)

In previous courses in the Specialization, we have discussed how to sequence and compare genomes. This course will cover advanced topics in finding mutations lurking within DNA and proteins.

In the first half of the course, we would like to ask how an individual's genome differs from the...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Genome Sequencing (Bioinformatics II)

You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome?

Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Biology Meets Programming: Bioinformatics for Beginners

Are you interested in learning how to program (in Python) within a scientific setting?

This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction...

Keywords: life-sciences, computer-science, health-informatics, software-development

Genomic Data Science and Clustering (Bioinformatics V)

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Comparing Genes, Proteins, and Genomes (Bioinformatics III)

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.

In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Molecular Evolution (Bioinformatics IV)

In the previous course in the Specialization, we learned how to compare genes, proteins, and genomes. One way we can use these methods is in order to construct a "Tree of Life" showing how a large collection of related organisms have evolved over time.

In the first half of the course, we will...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Bioinformatics Introductory Module

This Bioinformatics Introductory Module for self-study was designed for future students of the  Molecular Mechanisms of Disease (MMD) master’s program at Radboud University Medical Centre. To level out the starting differences in bioinformatics knowledge between this incoming heterogeneous group...

Keywords: Bioinformatics, Genome browsing, Genomics, Protein structure

Clinical Bioinformatics I - Tutor notes

Clinical Bioinformatics I is a 10 credit module of the new MSc in Clinical Bioinformatics, delivered by Nowgen/NGRL and the University of Manchester in the UK. Clinical Bioinformatics is one of the streams of the NHS Scientific Training Programme (STP). The programme is a mixture of work...

Keywords: Clinical bioinformatics, Genomics, Introduction bioinformatics