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14 materials found

Keywords: computer-science  or Galaxy 


Making sense of genomic data: COVID-19 web-based bioinformatics

Develop your understanding of bioinformatics and SARS-CoV-2 data analysis:
Although testing and sequencing capacity has improved, in low-and-middle-income countries (LMICs) bioinformatics analyses still represent a bottleneck in the implementation of effective viral surveillance...

Keywords: bioinformatics, NGS bioinformatics, Next generation sequencing data analysis, covid-19, sars-cov-2, coronavirus, data-analysis, data visualization, genomics, Genomic data, pipelines, Galaxy, nexstrain

Resource type: FREE online course

Galaxy Proteomics workshop Prague 2018

Materials from the ELIXIR workshop “Galaxy Proteomics workshop Prague 2018”, Oct 4-5 2018 at the IOCB, Prague, Czech Republic

Scientific topics: Proteomics

Keywords: Galaxy, training, proteomics, eLearning, EeLP

Resource type: course materials, Training materials, Slides

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

PhenoMeNal: accessing metabolomics workflows in Galaxy

PhenoMeNal (Phenome and Metabolome aNalysis) is a standardised e-infrastructure that supports the data processing and analysis pipelines for molecular phenotype data generated by metabolomics applications. This course will give you an overview of PhenoMeNal, how to create your cloud research...

Scientific topics: Chemical biology, Metabolomics

Keywords: Galaxy

Mapping reads on Galaxy server

Introduction to Galaxy

  • Introduction to Reads Mapping
  • Hands-on experience:
  • Upload data on Galaxy repository
  • Perform bioinformatics analysis with Galaxy
  • Save data
  • Visualize the results

Keywords: Galaxy, IBERS, Institute of Biological, Environmental and Rural Sciences

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