Keywords: computer-science or Standards
This video was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and serves as an introduction to the main standards used within the [SPHN Interoperability...
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
This series of three videos describes and demonstrates the CINECA service catalog:
The first video introduces the Service Catalog, a searchable listing of query services available atop CINECA cohort data, and explains where it fits into CINECA’s set of interactive queries and data...
Cohort studies, which recruit groups of individuals who share common characteristics and follow them over a period of time, are a robust and essential method in biomedical research for understanding the links between risk factors and diseases. Through questionnaires, medical assessments, and...
We live in an era of cloud computing. Many of the services in the life sciences are keenly planning cloud transformations, seeking to create globally distributed ecosystems of harmonised data based on standards from organisations like GA4GH. CINECA faces similar challenges, gathering cohort...
This video explains why we need data standardization and how to annotate data using next generation biobanking ontology (NGBO).
This video is part of the CINECA online training series, where you can learn about concepts and tools relevant to federated analysis of cohort data.
This video describes how public health genomics has played a key role in international responses to the COVID-19 pandemic, and how data standards are being used to harmonize data across jurisdictions for Canadian COVID-19 surveillance and outbreak investigations.
The video is aimed at anyone...
FAIRsharing is a web-based, searchable portal of three interlinked registries, containing both in-house and crowdsourced manually curated descriptions of standards, databases and data policies, combined with an integrated view across all three types of resource. By registering your resource on...
These Online Educational Resources (OERs) cover a variety of topics related to data science and are intended for use in courses, programs, workshops, and related activities. Modules relevant to biocuration:BDK05 Basic Research Data Standards...
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...
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...
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...
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...
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...
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...
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...
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...
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...