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31 materials found

Keywords: computer-science  or FAIR 

Expanding the SPHN RDF Schema

This training module will provide researchers with an introduction on how to expand the SPHN RDF Schema using an ontology editor.

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Editing, Ontology visualisation, Visualisation, Data handling

Keywords: Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL

Resource type: Video, Training materials, E-learning

Expanding the SPHN RDF Schema http://tess.elixir-uk.org/materials/expanding-the-sphn-rdf-schema This training module will provide researchers with an introduction on how to expand the SPHN RDF Schema using an ontology editor. Kristin Gnodke Sabine Österle Ontology and terminology Medical informatics FAIR data Data management Computer science Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
Semantic Standards

This training module provides an introduction on the key semantic standards used within SPHN.

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Standardisation and normalisation, Data handling

Keywords: Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD

Resource type: Video, Training materials, E-learning

Semantic Standards http://tess.elixir-uk.org/materials/semantic-standards This training module provides an introduction on the key semantic standards used within SPHN. Sabine Österle Ontology and terminology Medical informatics FAIR data Data management Computer science Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course

BioData.pt | ELIXIR Portugal, in collaboration with several other organizations has designed a program to train the first generation of Data Stewards for the life sciences, to support the implementation of data management, open science and FAIR data principles in Portuguese R&I organizations.

Scientific topics: Data management, Open science, FAIR data

Keywords: Data management plan, data-science, data-analysis, Data Integration, training, open science, data FAIRness, FAIR data, FAIR, FAIR principles, life sciences, data life cycle

Resource type: Training materials

BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course http://tess.elixir-uk.org/materials/biodata-pt-elixir-pt-training-data-stewards-for-life-sciences-intro-course BioData.pt | ELIXIR Portugal, in collaboration with several other organizations has designed a program to train the first generation of Data Stewards for the life sciences, to support the implementation of data management, open science and FAIR data principles in Portuguese R&I organizations. Data management Open science FAIR data Data management plan, data-science, data-analysis, Data Integration, training, open science, data FAIRness, FAIR data, FAIR, FAIR principles, life sciences, data life cycle Researchers
DSW Workshop for Finnish Data Support Personnel

Presentation from DSW Workshop to explain what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. It also briefly explains the versability of DSW, possibilities of integrations with...

Scientific topics: Data management

Keywords: DMP, DMP tools, data stewardship, FAIR, FAIR data

Resource type: Presentation

DSW Workshop for Finnish Data Support Personnel http://tess.elixir-uk.org/materials/dsw-workshop-for-finnish-data-support-personnel Presentation from DSW Workshop to explain what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. It also briefly explains the versability of DSW, possibilities of integrations with other systems in institutions, and other customizations. Data management DMP, DMP tools, data stewardship, FAIR, FAIR data Researchers data stewards
DS Wizard and its Use

This training gives an overview and explains what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. Furthermore, it shows the versability of DSW, its top-notch features that make...

Scientific topics: Data management

Keywords: DMP, DMP tools, data stewardship, FAIR, FAIR data

Resource type: Presentation

DS Wizard and its Use http://tess.elixir-uk.org/materials/ds-wizard-and-its-use This training gives an overview and explains what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. Furthermore, it shows the versability of DSW, its top-notch features that make data management planning easier and more efficient, as well as possibilities of customization and integrations with other systems in institutions. Data management DMP, DMP tools, data stewardship, FAIR, FAIR data Researchers data stewards
Helis Academy course FAIR data stewardship 2021, Day 6, Metadata

This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 6, March 31, 2021

Scientific topics: Data management, FAIR data

Operations: Data handling

Keywords: FAIR, Data management planning, Metadata

Resource type: Slidedeck

Helis Academy course FAIR data stewardship 2021, Day 6, Metadata http://tess.elixir-uk.org/materials/helis-academy-course-fair-data-stewardship-2021-day-6-metadata This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 6, March 31, 2021 Data management FAIR data FAIR, Data management planning, Metadata PhD candidates
Helis Academy course FAIR data stewardship 2021, Day 5, Data rights

This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 5, March 29, 2021

Scientific topics: Data management, FAIR data

Operations: Data handling

Keywords: FAIR, data management, Data rights

Resource type: Slidedeck

Helis Academy course FAIR data stewardship 2021, Day 5, Data rights http://tess.elixir-uk.org/materials/helis-academy-course-fair-data-stewardship-2021-day-5-data-rights This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 5, March 29, 2021 Data management FAIR data FAIR, data management, Data rights PhD candidates
Helis Academy course FAIR data stewardship 2021, Day 2, Introduction Wrap up

This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 2, March 18, 2021

Scientific topics: Data management, FAIR data

Operations: Data handling

Keywords: FAIR, Data management planning

Resource type: Slidedeck

Helis Academy course FAIR data stewardship 2021, Day 2, Introduction Wrap up http://tess.elixir-uk.org/materials/helis-academy-course-fair-data-stewardship-2021-day-2-introduction-wrap-up This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 2, March 18, 2021 Data management FAIR data FAIR, Data management planning PhD candidate
ELIXIR CZ Friday Coffee #5: Data Management with Data Stewardship Wizard

This short presentation was presented as part of the Friday Coffee presentation series organized by the ELIXIR CZ infrastructure and offered students a basic insight into data management and data management plans, which are important (not only) for the success of scientific projects, but...

Scientific topics: Data management

Keywords: data management plan, data stewardship, FAIR, data management, software tools

Resource type: Video, Webinar

ELIXIR CZ Friday Coffee #5: Data Management with Data Stewardship Wizard http://tess.elixir-uk.org/materials/elixir-cz-friday-coffee-5-data-management-with-data-stewardship-wizard This short presentation was presented as part of the Friday Coffee presentation series organized by the ELIXIR CZ infrastructure and offered students a basic insight into data management and data management plans, which are important (not only) for the success of scientific projects, but increasingly for grant applications as well. The presentation also introduced students to the possibility of creating these plans using the [Data Stewardship Wizard](https://ds-wizard.org), a tool that creates the data management plan by filling out a simple, synoptic questionnaire. It offers a simple and very effective solution without the need for deep knowledge of data stewardship or data management. Video available [here](https://www.youtube.com/watch?v=2YGrVGa9JYY). Data management data management plan, data stewardship, FAIR, data management, software tools Researchers data managers data stewards
DSW Template Development Kit: The Tutorial

[Data Stewardship Wizard](ds-wizard.org) is a flexible questionnaire-based tool that uses Jinja2 templates to produce documents. It allows creating documents in practically any textual format. Such documents can be intended for both humans (HTML, Markdown, reStructuredText, etc.) and machines...

Scientific topics: Data management

Keywords: data stewardship, data management plan, FAIR, data management, software tools, DMP templates, template development

Resource type: Video, Slides, Webinar

DSW Template Development Kit: The Tutorial http://tess.elixir-uk.org/materials/dsw-template-development-kit-the-tutorial [Data Stewardship Wizard](ds-wizard.org) is a flexible questionnaire-based tool that uses Jinja2 templates to produce documents. It allows creating documents in practically any textual format. Such documents can be intended for both humans (HTML, Markdown, reStructuredText, etc.) and machines (e.g. RDF, YAML, or JSON). Our Template Development Kit (DSW TDK) is a command-line tool to make the work on templates efficient. Data management data stewardship, data management plan, FAIR, data management, software tools, DMP templates, template development data stewards data managers
Ten simple rules for making training materials FAIR

Sharing, reusing and reproducing data, software and other digital objects are the basis for open science practices, and to ease this the scientific community has developed the Findable, Accessible, Interoperable and Reusable (FAIR) principles. FAIR principles are however not so simple to...

Scientific topics: FAIR data

Operations: Data handling

Keywords: FAIR data, FAIR, ELIXIR-CONVERGE

Resource type: Video

Ten simple rules for making training materials FAIR http://tess.elixir-uk.org/materials/ten-simple-rules-for-making-training-materials-fair Sharing, reusing and reproducing data, software and other digital objects are the basis for open science practices, and to ease this the scientific community has developed the Findable, Accessible, Interoperable and Reusable (FAIR) principles. FAIR principles are however not so simple to understand and adopt, and may be quite convoluted for some. The ELIXIR Training Platform in cooperation with other associated partner ZB MED has put together a Ten Simple Rules for Making Training Materials FAIR which simplify the FAIR principles by breaking them down into very practical steps. This webinar introduced these ten rules and discussed the challenges and ideas to put them into practice. FAIR data FAIR data, FAIR, ELIXIR-CONVERGE PhD students Post Docs Undergraduate students
FAIR software tools

CINECA webinar discussing the importance of the FAIR principles for software tools used in research

Scientific topics: Software engineering

Keywords: FAIR, software tools, Software

Resource type: Video

FAIR software tools http://tess.elixir-uk.org/materials/fair-software-tools CINECA webinar discussing the importance of the FAIR principles for software tools used in research Software engineering FAIR, software tools, Software
FAIR principles applied to bioinformatics

Content of the training material: - Introduction to reproducibility - encapsulate a work environment (docker) - design and execute workflows (snakemake) - IFB infrastructure (Slurm cluster) - managing software versions (git) - managing software environments (conda) - ensure...

Keywords: FAIR, Reproducible Science, Open science, Data analysis, Data processing

Resource type: Training materials

FAIR principles applied to bioinformatics http://tess.elixir-uk.org/materials/fair-principles-applied-to-bioinformatics Content of the training material: - Introduction to reproducibility - encapsulate a work environment (docker) - design and execute workflows (snakemake) - IFB infrastructure (Slurm cluster) - managing software versions (git) - managing software environments (conda) - ensure the traceability of analysis using Notebooks. The training material is in french Hélène Chiapello FAIR, Reproducible Science, Open science, Data analysis, Data processing bioinformaticians software developers, bioinformaticians computational scientists Researchers
Data Stewardship Wizard Workshop (Feb 2020)

[Data Stewardship Wizard](ds-wizard.org) brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into...

Scientific topics: Data management, Data governance

Keywords: Data management plan, data stewardship, FAIR, data management, software tools

Resource type: Video, Webinar, Slides

Data Stewardship Wizard Workshop (Feb 2020) http://tess.elixir-uk.org/materials/data-stewardship-wizard-workshop-feb-2020 [Data Stewardship Wizard](ds-wizard.org) brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into per-project questionnaires to be filled by researchers. This workshop explains the core functionality of the Data Stewardship Wizard. Video recording from the workshop is available **[here](https://www.youtube.com/watch?v=aGpr6JFMuiE)**. Data management Data governance Data management plan, data stewardship, FAIR, data management, software tools Researchers data stewards
FAIRification & Data modelling

Wikidata fairification

Keywords: FAIR, linked data, ontologies, metadata

Resource type: Slides

FAIRification & Data modelling http://tess.elixir-uk.org/materials/fairification-data-modelling Wikidata fairification FAIR, linked data, ontologies, metadata Life Science Researchers bioinformaticians
Introduction to FAIR data stewardship

FAIR data Stewardship: How to improve the reuse of nanosafety data

Scientific topics: Data management

Keywords: FAIR

Introduction to FAIR data stewardship http://tess.elixir-uk.org/materials/introduction-to-fair-data-stewardship FAIR data Stewardship: How to improve the reuse of nanosafety data Data management FAIR Life Science Researchers
Essential Steps of the FAIRification Process

Since 2014, a number of FAIR Stakeholders have developed tools and methods around the FAIRifcation of typical datasets. In the last 5 years, these efforts were field tested in a series of "Bring Your Own Data" Workshops". This material documents the accumulated practical & teaching...

Keywords: FAIR, data stewardship, metadata, linked data

Resource type: Training materials

Essential Steps of the FAIRification Process http://tess.elixir-uk.org/materials/essential-steps-of-the-fairification-process Since 2014, a number of FAIR Stakeholders have developed tools and methods around the FAIRifcation of typical datasets. In the last 5 years, these efforts were field tested in a series of "Bring Your Own Data" Workshops". This material documents the accumulated practical & teaching experiences from BYODS as well as more high-level FAIR awareness trainings. This document was formerly known as the "Big Book of FAIRification". FAIR, data stewardship, metadata, linked data Researchers Support Staff data librarians software developers, bioinformaticians
FAIR Data Stewardship - Data sharing, archiving and publishing

The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities...

Keywords: Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication

Resource type: Slides, Training materials

FAIR Data Stewardship - Data sharing, archiving and publishing http://tess.elixir-uk.org/materials/fair-data-stewardship-data-sharing-archiving-and-publishing The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities towards data are distributed. The course does not require any prior knowledge. Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication General Interest Scientists Researchers data stewards
FAIRsharing Educational Material

Whether you are a researcher, standard/database developer, funder, journal editor, librarian or data manager, FAIRsharing can help you understand which standards are mature and appropriate to your use case. By mapping the relationships between standards and the databases that implement them, or...

Keywords: Databases, Standards, Data Policies, FAIR

Resource type: Metadata Registry

FAIRsharing Educational Material http://tess.elixir-uk.org/materials/fairsharing-educational-material Whether you are a researcher, standard/database developer, funder, journal editor, librarian or data manager, FAIRsharing can help you understand which standards are mature and appropriate to your use case. By mapping the relationships between standards and the databases that implement them, or the policies that recommend them, FAIRsharing enables you to make an informed decision as to which standard or database to use or endorse. In this training, educational material, we describe the FAIRsharing resource and explain how you can use it to find the appropriate resource for your work. Databases, Standards, Data Policies, FAIR Researchers data managers data stewards Policy makers database managers biocurators standard developers
InterMine user tutorial

A tutorial for end users of InterMine

Keywords: Data querying, Data analysis, Data download, FAIR

Resource type: Tutorial

InterMine user tutorial http://tess.elixir-uk.org/materials/intermine-user-tutorial A tutorial for end users of InterMine Data querying, Data analysis, Data download, FAIR Life Science Researchers Bioinformaticians
InterMine user manual

Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine using the new user interface.

Keywords: Data querying, data visualization, Data download, FAIR

Resource type: Documentation

InterMine user manual http://tess.elixir-uk.org/materials/intermine-user-manual Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine using the new user interface. Data querying, data visualization, Data download, FAIR Life Science Researchers Bioinformaticians
InterMine operator manual

Documentation on how to install, configure and operate an InterMine instance.

Keywords: Data integration, Data analysis, Data publishing, FAIR

Resource type: Documentation

InterMine operator manual http://tess.elixir-uk.org/materials/intermine-operator-manual Documentation on how to install, configure and operate an InterMine instance. Data integration, Data analysis, Data publishing, FAIR Bioinformaticians software engineers
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

Big Data, Genes, and Medicine http://tess.elixir-uk.org/materials/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 harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. We’ll investigate the different steps required to master Big Data analytics on real datasets, including Next Generation Sequencing data, in a healthcare and biological context, from preparing data for analysis to completing the analysis, interpreting the results, visualizing them, and sharing the results. Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. No matter what your skill levels are in biomedical or technical areas, you will gain highly valuable new or sharpened skills that will make you stand-out as a professional and want to dive even deeper in biomedical Big Data. It is my hope that this course will spark your interest in the vast possibilities offered by publicly available Big Data to better understand, prevent, and treat diseases. life-sciences, computer-science, bioinformatics, algorithms 2017-03-24
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 Capstone: Big Data in Biology http://tess.elixir-uk.org/materials/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 to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs. whole exome sequencing for finding potentially harmful mutations in a human sample. Plus, hacker track students will have the option to build their own genome assembler and apply it to real data! life-sciences, computer-science, health-informatics, algorithms 2017-03-25
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 Hidden Messages in DNA (Bioinformatics I) http://tess.elixir-uk.org/materials/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 course, we investigate DNA replication, and ask the question, where in the genome does DNA replication begin? We will see that we can answer this question for many bacteria using only some straightforward algorithms to look for hidden messages in the genome. In the second half of the course, we examine a different biological question, when we ask which DNA patterns play the role of molecular clocks. The cells in your body manage to maintain a circadian rhythm, but how is this achieved on the level of DNA? Once again, we will see that by knowing which hidden messages to look for, we can start to understand the amazingly complex language of DNA. Perhaps surprisingly, we will apply randomized algorithms, which roll dice and flip coins in order to solve problems. Finally, you will get your hands dirty and apply existing software tools to find recurring biological motifs within genes that are responsible for helping Mycobacterium tuberculosis go "dormant" within a host for many years before causing an active infection. life-sciences, computer-science, health-informatics, algorithms 2017-10-09
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

Finding Mutations in DNA and Proteins (Bioinformatics VI) http://tess.elixir-uk.org/materials/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 "reference genome" of the species. Our goal is to take small fragments of DNA from the individual and "map" them to the reference genome. We will see that the combinatorial pattern matching algorithms solving this problem are elegant and extremely efficient, requiring a surprisingly small amount of runtime and memory. In the second half of the course, we will learn how to identify the function of a protein even if it has been bombarded by so many mutations compared to similar proteins with known functions that it has become barely recognizable. This is the case, for example, in HIV studies, since the virus often mutates so quickly that researchers can struggle to study it. The approach we will use is based on a powerful machine learning tool called a hidden Markov model. Finally, you will learn how to apply popular bioinformatics software tools applying hidden Markov models to compare a protein against a related family of proteins. life-sciences, computer-science, health-informatics, algorithms 2017-10-09
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

Genome Sequencing (Bioinformatics II) http://tess.elixir-uk.org/materials/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 short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. In the first half of the course, we will see that biologists cannot read the 3 billion nucleotides of a human genome as you would read a book from beginning to end. However, they can read shorter fragments of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces in what amounts to the largest jigsaw puzzle ever put together. In the second half of the course, we will discuss antibiotics, a topic of great relevance as antimicrobial-resistant bacteria like MRSA are on the rise. You know antibiotics as drugs, but on the molecular level they are short mini-proteins that have been engineered by bacteria to kill their enemies. Determining the sequence of amino acids making up one of these antibiotics is an important research problem, and one that is similar to that of sequencing a genome by assembling tiny fragments of DNA. We will see how brute force algorithms that try every possible solution are able to identify naturally occurring antibiotics so that they can be synthesized in a lab. Finally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium that has acquired antibiotics resistance. life-sciences, computer-science, health-informatics, algorithms 2017-10-09
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

Biology Meets Programming: Bioinformatics for Beginners http://tess.elixir-uk.org/materials/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 to our Bioinformatics Specialization (https://www.coursera.org/specializations/bioinformatics), preparing learners to take the first course in the Specialization, "Finding Hidden Messages in DNA" (https://www.coursera.org/learn/dna-analysis). Each of the four weeks in the course will consist of two required components. First, an interactive textbook provides Python programming challenges that arise from real biological problems. If you haven't programmed in Python before, not to worry! We provide "Just-in-Time" exercises from the Codecademy Python track (https://www.codecademy.com/learn/python). And each page in our interactive textbook has its own discussion forum, where you can interact with other learners. Second, each week will culminate in a summary quiz. Lecture videos are also provided that accompany the material, but these videos are optional. life-sciences, computer-science, health-informatics, software-development 2017-05-04
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

Genomic Data Science and Clustering (Bioinformatics V) http://tess.elixir-uk.org/materials/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 the general problem of dividing data points into distinct clusters. In the first half of the course, we will introduce algorithms for clustering a group of objects into a collection of clusters based on their similarity, a classic problem in data science, and see how these algorithms can be applied to gene expression data. In the second half of the course, we will introduce another classic tool in data science called principal components analysis that can be used to preprocess multidimensional data before clustering in an effort to greatly reduce the number dimensions without losing much of the "signal" in the data. Finally, you will learn how to apply popular bioinformatics software tools to solve a real problem in clustering. life-sciences, computer-science, health-informatics, algorithms 2017-10-09
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

Comparing Genes, Proteins, and Genomes (Bioinformatics III) http://tess.elixir-uk.org/materials/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 will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins. In the second half of the course, we will "zoom out" to compare entire genomes, where we see large scale mutations called genome rearrangements, seismic events that have heaved around large blocks of DNA over millions of years of evolution. Looking at the human and mouse genomes, we will ask ourselves: just as earthquakes are much more likely to occur along fault lines, are there locations in our genome that are "fragile" and more susceptible to be broken as part of genome rearrangements? We will see how combinatorial algorithms will help us answer this question. Finally, you will learn how to apply popular bioinformatics software tools to solve problems in sequence alignment, including BLAST. life-sciences, computer-science, health-informatics, algorithms 2017-10-09