Register training material
28 materials found

Content provider: Coursera  or PerMedCoE 


Tutorial on developing Building Blocks

This section provides a step-by-step by tutorial on how to develop Building Blocks using the permedcoe package and an application that uses them.

Scientific topics: Personalised medicine, Workflows, Bioinformatics

Keywords: HPC, building blocks

Resource type: Tutorial

Tutorial on working with computing clusters

This tutorial provides an introduction to how to access a computing cluster, manage your data and submit jobs using a batch job system.

Keywords: HPC

Resource type: Tutorial

Biomedicine, supercomputers and simulations: in silico experiments and its applications in cancer research

At the lowest scale, PhysiCell uses BioFVM solver to simulate the chemical microenvironment using partial differential equations which model the diffusion, uptake and secretion of substrates and signalling molecules. At the cell scale, PhysiCell uses mechanical equations to model individual cell...

Scientific topics: Molecular interactions, pathways and networks, Personalised medicine, Simulation experiment

Operations: Modelling and simulation

Keywords: HPC, Biomodelling, cell simulations

Resource type: Webinar

Tutorial on using MPI with containers

In this material we will briefly touch upon why MPI is such a tricky component, explain the main approaches to combine MPI with containers and discuss when it is actually worthwhile to use MPI containers.

Keywords: MPI, Containers, Computer Programming, Documentation and help

Resource type: Tutorial

Tutorial on CARNIVAL

This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL

Scientific topics: RNA-Seq, Omics, Gene expression, Molecular interactions, pathways and networks

Operations: RNA-Seq analysis, Network analysis

Keywords: HPC, Signaling, RNAseq, transcriptomics

Resource type: Tutorial

Tutorials on COBREXA

COBREXA.jl provides tutorials and notebooks with the purpose of explaining the most important concepts and functions for metabolic modelling and model handling to users, and then practicing them.
The documentation contains basic tutorials (explaining the core package concepts and basic design...

Scientific topics: Simulation experiment, Personalised medicine

Operations: Modelling and simulation

Keywords: cell-level simulations, Biomodelling, HPC

Resource type: Tutorial

Tutorial on CellNOpt

This tutorial aims to be an introduction to
i) the preparation of the Prior knowledge network (PKN) of signaling pathways and
ii) the training of the PKN against biochemical data to create cell-specific models.

Scientific topics: Molecular interactions, pathways and networks, Simulation experiment, Personalised medicine

Operations: Modelling and simulation

Keywords: HPC, Biomodelling, Signalling

Resource type: Tutorial

Introduction to qualitative modelling with MaBoSS

Boolean modelling uses a simple representation of biological entities as either active or inactive, and describes their relations with logical formulas. MaBoSS extends Boolean modelling by adding a notion of continuous time, with the introduction of rates of (in)activation. This enable the...

Scientific topics: Statistics and probability, Molecular interactions, pathways and networks, Personalised medicine, Simulation experiment

Operations: Modelling and simulation

Keywords: HPC, Biomodelling, cell simulations, Boolean

Resource type: Webinar

Analysis of huge metabolic models with COBREXA.jl

COBREXA.jl is a new software package to enable the analysis and simulation of large metabolic models by taking advantages of modern HPC infrastructure. Mainly, it advanced the scalability of constraint-based method, using the Julia programing language and its mathematic ecosystem as a base...

Scientific topics: Simulation experiment

Keywords: cell-level simulations, HPC, Biomodelling

Resource type: Webinar

Introduction to PerMedCoE: Exascale-ready cell-level simulations for European Personalised Medicine

PerMedCoE is the HPC/Exascale Centre of Excellence for Personalised Medicine in Europe. The goal of PerMedCoE is to provide an efficient and sustainable entry point to the HPC/Exascale-upgraded methodology to translate omics analyses into actionable models of cellular functions of medical relevance.

Scientific topics: Personalised medicine

Keywords: HPC, Biomodelling, cell-level simulations

Resource type: Webinar

Access Bioinformatics Databases with Biopython

In this 1-hour long project-based course, you will learn how to access, parse, and visualize data from various bioinformatics sequence and structural online databases such as ENTREZ, PDB, KEGG and NCBI using Biopython.
You will also interact with various bioinformatics file formats such as FASTA,...

Keywords: data-science, life-sciences, data-analysis, health-informatics

Bacterial Bioinformatics

This course provides demonstrations and exercises for performing common genomics-based analysis tasks of bacterial sequence data. It uses PATRIC, the PathoSystems Resource Integration Center, as the platform for analysis. PATRIC is the NIH/NIAID-funded bacterial Bioinformatics Resource Center,...

Keywords: life-sciences, health-informatics, research

Plant Bioinformatics Capstone

The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply...

Keywords: physical-science-and-engineering, life-sciences, research-methods, basic-science

Research Data Management and Sharing

This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management...

Scientific topics: Data management

Resource type: e-learning

Plant Bioinformatics

The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply...

Keywords: life-sciences, physical-science-and-engineering, health-informatics, research-methods

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: Life Sciences on Your Computer

What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access.

Keywords: life-sciences, bioinformatics

Bioinformatic Methods II

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful...

Keywords: life-sciences, bioinformatics

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

Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

A big welcome to “Bioinformatics: Introduction and Methods” from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in...

Keywords: life-sciences, health-informatics

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

Bioinformatic Methods I

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful...

Keywords: life-sciences, bioinformatics

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