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15 materials found

Keywords: computer-science  or Metagenomics 


MGnify quick tour

This quick tour provides a brief introduction to MGnify - a free resource for analysis, visualisation and discovery of microbiome (metagenomic, metatranscriptomic, amplicon and assembly) datasets.

This course is suitable those with an undergraduate degree in a life science subject would be an...

Scientific topics: Metagenomics

Keywords: Metagenomics, Sequence analysis, MGnify, Microbiology

Resource type: Tutorial

Metagenomics Bioinformatics

Metagenomics, the genomic analysis of microbial communities from samples like water and soil, involves high throughput sequencing of the microbial DNA, collecting, archiving and resharing the genomic data for taxonomic and functional analysis.

This course covers the use of publicly available...

Scientific topics: Metagenomics

Keywords: Metagenomics, MGnify, Sequence Analysis, Microbiology

Resource type: Tutorial

EBI Metagenomics: analysing and exploring metagenomics data

EBI metagenomics is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly datasets. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets...

Scientific topics: Metagenomics

Keywords: Metagenomics, MGnify, Sequence Analysis, Microbiology

Resource type: Webinar

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

Metagenomics 2015

Link to the GitHub repo containing all the publicly available files from the 2015 Metagenomics course held at TGAC in November 2015

Scientific topics: Metagenomics

Keywords: Metagenomics

TGAC Metagenomics: From bench to data analysis

This course took place at TGAC on 8-12 September 2014
What is the workshop about?
A substantial part of the course will be devoted to bioinformatics resources and tools relevant in metagenomics data analysis. Participants will start at the bench and end in front of the computers for a problem...

Scientific topics: Metagenomics

Keywords: Metagenomics

Metagenome data analysis Workshop, May 21-23, 2014

SciLifelab and AllBio are arranging a workshop on the analysis and interpretation of metagenomics data.
In this workshop we will combine talks by experts in the field with practical tutorials guiding the participants in the analysis of representative datasets.
Speakers:
Lex Nederbragt, Oslo...

Keywords: Allbio, Assembly, Binning, Bioinformatics, Data analysis, Metagenomics