Register training material
33 materials found

Keywords: computer-science  or Bioinformatics 


Initiation to R programming and descriptive statistics

This course material was designed with the on-site teaching program for PhD students at Institut Pasteur in mind.
It teaches the basics of R programming and descriptive statistics, and is hopefully detailed enough to be usable for self-study, with some rough guidelines given...

Keywords: R-programming, Descriptive statistics, Statistics, Bioinformatics

ELB19F - Entry level Bioinformatics (First course in 2019)

This is an entry level course aimed that those with a reasonable biological background but no significant experience with bioinformatics. The course is broadly based around a series of exercises in which a combination of simple analytical tools and reference to publicly available databases is...

Keywords: Bioinformatics, Sequencing

Resource type: Documentation, Exercise, Handout, Scripts

ELBS18 - Entry level Bioinformatics (Second course in 2018)

This is an entry level course aimed that those with a reasonable biological background but no significant experience with bioinformatics. The course is broadly based around a series of exercises in which a combination of simple analytical tools and reference to publicly available databases is...

Keywords: Bioinformatics, Sequencing

Resource type: Documentation, Exercise, Handout, Scripts

ELB18F - Entry level Bioinformatics (First course in 2018)

This is an entry level course aimed that those with a reasonable biological background but no significant experience with bioinformatics. The course is broadly based around a series of exercises in which a combination of simple analytical tools and reference to publicly available databases is...

Keywords: Bioinformatics, Sequencing

Resource type: Documentation, Exercise, Handout, Scripts

PPB18 - Programming in Python for Biologists (2018)

Python is an object-oriented programming language that is ideal for biological data analysis. The course will start from zero knowledge, and will introduce the participants to all the basic concepts of Python such as calculating, organizing data, reading and writing files, program logic and...

Operations: Data handling, Data retrieval

Keywords: Bioinformatics, Biology, Biological databases

Resource type: Documentation, Exercise, Handout, Scripts

EMBL-EBI Train Online

If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently.

Scientific topics: Bioinformatics

Keywords: Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems

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

Introduction to Biopython

This is a module from the "Python for Biologists" course. The module presents an introduction to Biopython. It shows how to deal with sequences and sequence records, how to download records from NCBI databases, how to run Blast and how to parse XML Blast outputs.

Keywords: Bioinformatics, Biopython, Programming, Python, Python biologists

RNA-seq data analysis: from raw reads to differentially expressed genes

This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of...

Scientific topics: Sequencing, RNA, Data architecture, analysis and design, Bioinformatics

Keywords: Bioinformatics, Differential expression, Ngs, Rna seq

EMBO 2015

Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC

Scientific topics: Protein binding sites, Molecular interactions, pathways and networks

Keywords: Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks

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

Plant and Pathogen Bioinformatics

This package contains presentations and other training material given at the AllBio Plant and Pathogen Bioinformatics training course, held at the European Bioinformatics Institute, Hinxton, United Kingdom, Tuesday, July 8, 2014 - Friday, July 11, 2014. The course was aimed at giving an...

Keywords: Allbio, Bioinformatics, Biological databases, Genome sequence analysis, Pathogenesis, Phytopathogens, Plants

Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Benjamin Good

Online Gaming in Bioinformatics: The ‘Fun’ Model to Online Bioinformatics Education
Benjamin Good, Senior Staff Scientist, Department of Molecular and Experimental Medicine, The Scripps Research Institute.
Dr. Good’s research focuses on games with a purpose in crowdsourcing biological knowledge....

Scientific topics: Bioinformatics

Keywords: Bioinformatics, Gaming, Online learning

Workshop on Education in Bioinformatics 2014 - ISMB 2014 - David Searls

Self-directed Learning: Does online learning in bioinformatics work?
Proposed Speaker: (CONFIRMED) David Searls, Adjunct Associate Professor, Perleman School of Medicine, University of Pennsylvania.
Dr. Searls is an independent consultant in bioinformatics and former Senior VP of Bioinformatics...

Keywords: Bioinformatics, Mooc, Online learning

Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Michael Love

MOOCs in Bioinformatics: The Online Course Model to Online Bioinformatics Education
Dr. Michael Love, edX Faculty and post-doctoral fellow in Dept. Biostatistics, Dana Farber Cancer Institute and Harvard School of Public Health.
Dr. Love teaches the Data Analysis for Genomics course offered...

Keywords: Bioinformatics, Mooc

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

Simple plotting in R

This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software.
the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with...

Keywords: Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation

Quality Control of Illumina Sequencing data in the cloud

This course was created as part of the SeqAhead project and contains both powerpoint presentations and course materials that teach students how to set up an Amazon EC2 virtual machine, connect to it, download some Illumina data from  the short read archive (SRA), assess the quality of the data...

Keywords: Bioinformatics, Cloud, Next generation sequencing, Next generation sequencing data analysis, Ngs bioinformatics, Qc ngs data

Bioinformatics for Mass spectrometry analysis

This tutorial on Bioinformatics for Mass spectrometry analysis was part of a full series of tutorials that I have organised in 2009 while sitting in the Educational Committee of the European Proteomics Association (EuPA). Some information on bioinformatics tools would need to be verified, but the...

Keywords: Bioinformatics, Mass spectrometry, Protein identification

Linear Motifs and Phosphorylation Sites

This is a lecture on linear motifs and phophorylation sites (P-sites). Some materials from other lectures are reused.
The lecture is basically about computational approaches to encode, predict, analyse, and use functional motifs and P-sites.
Here you can find:

    A definition of linear motifs and...

Keywords: Bioinformatics

Next Generation Sequencing (NGS) wikibook

Next generation sequencing (NGS) has become a commodity. With the commercialization of various affordable desktop sequencers, NGS will be of reach by more traditional wet-lab biologists . As seen in recent years, genome-wide scale computational analysis is increasingly being used as a backbone to...

Keywords: Bioinformatics, Next generation sequencing, Ngs

BioJS

BioJS is a library of graphical components easy to reuse to represent biological information

Keywords: Bioinformatics, Javascript