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Keywords: Europe PMC  or health-informatics 


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

Access Bioinformatics Databases with Biopython http://tess.elixir-uk.org/materials/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, PDB, GENBANK and XML along with various parsers to read and modify these files using Biopython. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions. 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

Bacterial Bioinformatics http://tess.elixir-uk.org/materials/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, providing comprehensive bacterial genomic data with integrated analysis tools and visualizations. PATRIC also provides a private workspace where users can upload and analyze their own data. Course participants will gain skills needed to do comparative analysis of bacterial genomes, starting with raw sequence data.The lessons in the first module cover genome assembly, annotation, phylogenetic tree construction, and protein family / proteome comparisons. Each lesson builds on the previous, creating a complete baseline analysis workflow. life-sciences, health-informatics, research
Literature Searching Skills and Tools

Training slides on literature searching skills and tools. Part of biocurators training for the Postgraduate Certificate in Biocuration, developed by the University of Cambridge and the European Bioinformatics Institute (EMBL-EBI).

Keywords: Medical publications, Curation strategy, PubMed search, Literature database search, Biocuration, Europe PMC

Resource type: Slides

Literature Searching Skills and Tools http://tess.elixir-uk.org/materials/literature-searching-skills-and-tools Training slides on literature searching skills and tools. Part of biocurators training for the Postgraduate Certificate in Biocuration, developed by the University of Cambridge and the European Bioinformatics Institute (EMBL-EBI). Medical publications, Curation strategy, PubMed search, Literature database search, Biocuration, Europe PMC
Integrating publications into bioinformatics analysis

Overview Research literature contains a wealth of information that can be extracted at scale using text-mining technologies. To make text-mining data available to a wider group of researchers, the publications database, Europe PMC, provides access to millions of text-mined annotations, such as...

Keywords: Europe PMC, REST API, Bioinformatic analysis

Resource type: Webinar

Integrating publications into bioinformatics analysis http://tess.elixir-uk.org/materials/integrating-publications-into-bioinformatics-analysis Overview Research literature contains a wealth of information that can be extracted at scale using text-mining technologies. To make text-mining data available to a wider group of researchers, the publications database, Europe PMC, provides access to millions of text-mined annotations, such as genes and proteins, metabolites, species, mutations, phosphorylations, interactions, associations, and many more. This webinar will demonstrate how to access text-mined literature evidence programmatically, and how to supplement it with bibliographic information for advanced use cases. Two of such use cases, mapping of tropical disease research by author affiliation geoparsing and comparison of applicability of analytical chemistry techniques, will be introduced by invited speaker, Dr. Magnus Palmblad. This webinar was recorded on 2nd October 2019. It is best viewed in full-screen mode using Google Chrome. The slides from this webinar can be downloaded below. Audience This webinar is aimed at individuals who wish to learn about accessing text-mined literature evidence programmatically. No prior knowledge of bioinformatics is required, but undergraduate level knowledge of biology would be useful. See the EMBL-EBI training pages for a list of upcoming webinars. No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology would be useful. Europe PMC, REST API, Bioinformatic analysis
Navigating the data-rich literature: finding evidence in biomedical publications

In the age of data‐driven science, discovering all the data associated with a study can be tricky. In this webinar, we will demonstrate how to locate primary data in a publication, find facts and evidence to support your hypothesis, and scan a paper for important biological concepts using tools...

Keywords: Europe PMC, Biomedical Literature, Literature search

Resource type: Webinar

Navigating the data-rich literature: finding evidence in biomedical publications http://tess.elixir-uk.org/materials/navigating-the-data-rich-literature-finding-evidence-in-biomedical-publications In the age of data‐driven science, discovering all the data associated with a study can be tricky. In this webinar, we will demonstrate how to locate primary data in a publication, find facts and evidence to support your hypothesis, and scan a paper for important biological concepts using tools provided by Europe PMC. This webinar was recorded on 4th October 2017. It is best viewed in full-screen mode using Google Chrome. The slides from this webinar can be downloaded here. This webinar is aimed at scientists with an interest in learning more about the literature search tools provided by Europe PMC. No prior knowledge of bioinformatics is required, but an undergraduate-level understanding of biology would be useful. If you would like to learn more about Europe PMC have a look at our other webinar on Europe PMC: get the most from literature searches and our Europe PMC: Quick tour. See the EMBL-EBI training pages for a list of upcoming webinars. Europe PMC, Biomedical Literature, Literature search
How to Share Text Mining Results in Biology

Overview Though text mining becomes more widespread in biology, an average researcher can rarely use it to their advantage. In this webinar, Europe PMC presents a tool to easily share annotated biological entities and relations with the research community. Europe PMC Annotation Submission...

Keywords: Europe PMC, Text mining, Literature search

Resource type: Webinar

How to Share Text Mining Results in Biology http://tess.elixir-uk.org/materials/how-to-share-text-mining-results-in-biology Overview Though text mining becomes more widespread in biology, an average researcher can rarely use it to their advantage. In this webinar, Europe PMC presents a tool to easily share annotated biological entities and relations with the research community. Europe PMC Annotation Submission System allows text miners and curators in the field of life sciences to make their results available to the public. Annotated concepts can be browsed and searched for both on Europe PMC website as a part of SciLite tool and Advanced search, as well as via the Annotations API. This webinar was recorded on 9th of July 2019. It is best viewed in full-screen mode using Google Chrome. The slides from this webinar can be downloaded below. Audience This webinar is aimed at individuals who wish to learn more about sharing and reusing results of biomedical text-mining. No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology would be useful. See the EMBL-EBI training pages for a list of upcoming webinars. No prior knowledge of bioinformatics is required, but an undergraduate-level understanding of biology would be useful. Europe PMC, Text mining, Literature search
Extracting gene-disease evidence from literature, genetics, genomics and more

Do you want to identify and prioritise new therapeutic targets? Are you looking for associations of your gene of interest with a specific disease? Do you work in the area of drug repurposing? Are you interested in disease biology? If you said yes to any of these questions, this webinar is for...

Keywords: Europe PMC, Open Targets, gene-disease relationship, Text mining

Resource type: Webinar

Extracting gene-disease evidence from literature, genetics, genomics and more http://tess.elixir-uk.org/materials/extracting-gene-disease-evidence-from-literature-genetics-genomics-and-more Do you want to identify and prioritise new therapeutic targets? Are you looking for associations of your gene of interest with a specific disease? Do you work in the area of drug repurposing? Are you interested in disease biology? If you said yes to any of these questions, this webinar is for you. Watch to explore gene-disease relations using freely available tools from Europe PMC and Open Targets. Maria and Denise will show you how to access evidence from research literature, genetics, genomics and chemical data to obtain information at drug targets and disease levels. This webinar was recorded on 7th June 2018. It is best viewed in full screen mode using Google Chrome. The slides from this webinar can be downloaded below. Europe PMC, Open Targets, gene-disease relationship, Text mining Scientists
Europe PMC: Services for academic authors

Researchers are often asked to maintain an up-to-date publication list, whether for job applications, tenure evaluations, or grant proposals. An easy way to do this is by using your ORCID iD and linking it to your published papers. An ORCID is a unique identifier - personalised number that is...

Keywords: Europe PMC, ORCID, Biomedical Literature

Resource type: Webinar

Europe PMC: Services for academic authors http://tess.elixir-uk.org/materials/europe-pmc-services-for-academic-authors Researchers are often asked to maintain an up-to-date publication list, whether for job applications, tenure evaluations, or grant proposals. An easy way to do this is by using your ORCID iD and linking it to your published papers. An ORCID is a unique identifier - personalised number that is assigned to you when you register. By using your ORCID in addition to your name you can make sure that you are easily distinguishable from other researchers with the same name, keep track of your work through name changes, and even pull together different kinds of achievements, like grant awards, training, etc. This video shows how you can register for an ORCID, add your publications in three easy steps to build your digital CV, and how to get a personal author profile page that showcases your publications and citations. This webinar was recorded on 7th of August 2017. It is best viewed in full-screen mode using Google Chrome. No prior knowledge of bioinformatics is required, but an undergraduate-level understanding of biology would be useful. Europe PMC, ORCID, Biomedical Literature
Effective Literature Research with Europe PMC

Following the latest developments in your scientific field requires thorough and frequent literature research. In this webinar, we will show how to find and access relevant scientific literature using Europe PMC, an open biomedical literature database, part of PubMed Central International. We...

Keywords: Europe PMC, Biomedical Literature, Literature search

Resource type: Webinar

Effective Literature Research with Europe PMC http://tess.elixir-uk.org/materials/effective-literature-research-with-europe-pmc Following the latest developments in your scientific field requires thorough and frequent literature research. In this webinar, we will show how to find and access relevant scientific literature using Europe PMC, an open biomedical literature database, part of PubMed Central International. We will cover searches by topic and author, searches for associated research data, as well as advanced options for building complex queries. This webinar was recorded on 30 May 2018. It is best viewed in full-screen mode using Google Chrome. The slides from this webinar can be downloaded here. To learn more about searching grant information and on managing, exporting and saving searches you can watch our previous webinar Europe PMC: get the most from literature searches. You will find more information about Europe PMCs API service in our webinar Europe PMC, programmatically. You can also try our Europe PMC: Quick Tour. See the EMBL-EBI training pages for a list of upcoming webinars. This webinar is aimed at scientists who want to optimise their literature searches. No prior knowledge of bioinformatics is required, but an undergraduate-level understanding of biology would be useful. Europe PMC, Biomedical Literature, Literature search Scientists who want to optimise their literature searches
Text mining: Key concepts and applications

EMBL-EBI presents this talk on an introduction to text mining and its applications in service provision. The 1st part of this talk focuses on what text mining is and some of the methods and available tools. The 2nd part looks at how to find articles on Europe PMC - a free literature resource for...

Keywords: Literature search, Text mining, Europe PMC, Biomedical Literature

Resource type: Webinar

Text mining: Key concepts and applications http://tess.elixir-uk.org/materials/text-mining-key-concepts-and-applications EMBL-EBI presents this talk on an introduction to text mining and its applications in service provision. The 1st part of this talk focuses on what text mining is and some of the methods and available tools. The 2nd part looks at how to find articles on Europe PMC - a free literature resource for biomedical and health researchers - and how to build your own text mining pipeline. The final part gives a nice case study showing how Europe PMC's pipeline was integrated into a new drug target validation platform called Open Targets (previously CTTV). Literature search, Text mining, Europe PMC, Biomedical Literature
Extracting research evidence from publications

Bioinformaticians are routinely handling big data, including DNA, RNA, and protein sequence information. It’s time to treat biomedical literature as a dataset and extract valuable facts hidden in the millions of scientific papers. This webinar demonstrates how to access text-mined literature...

Keywords: Literature search, Biomedical Literature, Europe PMC, Text mining

Resource type: Webinar

Extracting research evidence from publications http://tess.elixir-uk.org/materials/extracting-research-evidence-from-publications Bioinformaticians are routinely handling big data, including DNA, RNA, and protein sequence information. It’s time to treat biomedical literature as a dataset and extract valuable facts hidden in the millions of scientific papers. This webinar demonstrates how to access text-mined literature evidence using Europe PMC Annotations API. We highlight several use cases, including linking diseases with potential treatment targets, or identifying which protein structures are cited along with a gene mutation. Literature search, Biomedical Literature, Europe PMC, Text mining Wet-lab researchers and bioinformaticians who want to access scientific literature and data programmatically.
Europe PMC, programmatically

Europe PMC is an open repository, providing access to worldwide biomedical literature, including articles, books, patents, and clinical guidelines. More than 32 million abstracts (27 million from PubMed) and 4 million full-text articles can be freely accessed through Europe PMC in a single...

Keywords: Literature search, Programmatic Access, Europe PMC, REST API, Biomedical Literature

Resource type: Webinar

Europe PMC, programmatically http://tess.elixir-uk.org/materials/europe-pmc-programmatically Europe PMC is an open repository, providing access to worldwide biomedical literature, including articles, books, patents, and clinical guidelines. More than 32 million abstracts (27 million from PubMed) and 4 million full-text articles can be freely accessed through Europe PMC in a single search. The mission of Europe PMC is to build open access, full-text scientific literature resources and deliver world-class literature services. This webinar will introduce the Europe PMC Articles RESTful API and show you how to access publications and related information, such as citations, data links, or text-mined terms, programmatically. Francesco Talo Yogmatee Rochun Literature search, Programmatic Access, Europe PMC, REST API, Biomedical Literature
Europe PMC: get the most from literature searches

With Europe PMC, a free biomedical repository and partner in PubMed Central International, you can search worldwide, life-sciences literature, including articles, books, patents, and clinical guidelines. In this webinar, we will show how to use Europe PMC for effective literature research. We...

Keywords: Literature search, Life sciences publications, Europe PMC

Resource type: Webinar

Europe PMC: get the most from literature searches http://tess.elixir-uk.org/materials/europe-pmc-get-the-most-from-literature-searches With Europe PMC, a free biomedical repository and partner in PubMed Central International, you can search worldwide, life-sciences literature, including articles, books, patents, and clinical guidelines. In this webinar, we will show how to use Europe PMC for effective literature research. We will cover searches by topic and author, advanced search options for building complex queries, and setting alerts for your topic to stay on top of the published literature. Literature search, Life sciences publications, Europe PMC This webinar is aimed at scientists with an interest in learning more about the Europe PMC and optimising their literature searches.
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

Plant Bioinformatics http://tess.elixir-uk.org/materials/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 and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse. For instance, knowing where and when a gene is expressed can help us narrow down the phenotypic search space when we don't see a phenotype in a gene mutant under "normal" growth conditions. Coexpression analyses and association networks can provide high-quality candidate genes involved in a biological process of interest. Using Gene Ontology enrichment analysis and pathway visualization tools can help us make sense of our own 'omics experiments and answer the question "what processes/pathways are being perturbed in our mutant of interest?" Structure: each of the 6 week hands-on modules consists of a ~2 minute intro, a ~20 minute theory mini-lecture, a 1.5 hour hands-on lab, an optional ~20 minute lab discussion if experiencing difficulties with lab, and a ~2 minute summary. Tools covered [Material updated in June 2022]: Module 1: GENOMIC DBs / PRECOMPUTED GENE TREES / PROTEIN TOOLS. Araport, TAIR, Gramene, EnsemblPlants Compara, PLAZA; SUBA4 and Cell eFP Browser, 1001 Genomes Browser Module 2: EXPRESSION TOOLS. eFP Browser / eFP-Seq Browser, Araport, Genevestigator, TravaDB, NCBI Genome Data Viewer for exploring RNA-seq data for many plant species, MPSS database for small RNAs Module 3: COEXPRESSION TOOLS. ATTED II, Expression Angler, AraNet, AtCAST2 Module 4: PROMOTER ANALYSIS. Cistome, MEME, ePlant Module 5: GO ENRICHMENT ANALYSIS AND PATHWAY VIZUALIZATION. AgriGO, AmiGO, Classification SuperViewer, TAIR, g:profiler, AraCyc, MapMan (optional: Plant Reactome) Module 6: NETWORK EXPLORATION. Arabidopsis Interactions Viewer 2, ePlant, TF2Network, Virtual Plant, GeneMANIA life-sciences, physical-science-and-engineering, health-informatics, research-methods
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
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

Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 http://tess.elixir-uk.org/materials/bioinformatics-introduction-and-methods 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 bioinformatics you acquired will help you in your future study and research. Course materials are available under the CC BY-NC-SA License. life-sciences, health-informatics 2017-10-09
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
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

Molecular Evolution (Bioinformatics IV) http://tess.elixir-uk.org/materials/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 discuss approaches for evolutionary tree construction that have been the subject of some of the most cited scientific papers of all time, and show how they can resolve quandaries from finding the origin of a deadly virus to locating the birthplace of modern humans. In the second half of the course, we will shift gears and examine the old claim that birds evolved from dinosaurs. How can we prove this? In particular, we will examine a result that claimed that peptides harvested from a T. rex fossil closely matched peptides found in chickens. In particular, we will use methods from computational proteomics to ask how we could assess whether this result is valid or due to some form of contamination. Finally, you will learn how to apply popular bioinformatics software tools to reconstruct an evolutionary tree of ebolaviruses and identify the source of the recent Ebola epidemic that caused global headlines. life-sciences, computer-science, health-informatics, algorithms 2017-10-09