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Content provider: Coursera  or Bioschemas 


Schema.org, what and why?

In this tutorial you will get an idea on what Schema.org is and how it is useful

Keywords: schemaorg, markup, structured data, schemaorg, markup, structured data

Bioschemas, what and why?

In this tutorial you will learn what Bioschemas is, what the added value to schema.org.is and what the main elements in Bioschemas are

Keywords: schemaorg, markup, structured data, bioschemas, schemaorg, markup, structured data, bioschemas

Schema.org markup examples

With these examples you will get a better understanding of benefits brought by structure data, i.e., schema.org markup

Keywords: schemaorg, markup, structured data, example, schemaorg, markup, structured data, example

How to select the right profile for your resource

In this how-to, we will guide you through the necessary steps for you to select a Bioschemas profile that will be later used to add mark up to your own resources

Keywords: schemaorg, markup, structured data, bioschemas profile, schemaorg, markup, structured data, bioschemas profile

How to update a profile

In this how-to, we will guide you through the necessary steps for you to update a profile, i.e.,create and publish a new draft profile, you need some knowledge on spreadsheets, GitHub, git and Jekyll.

Keywords: schema.org, markup, structured data, bioschemas profile, schema.org, markup, structured data, bioschemas profile

How to create a new Bioschemas profile

In this how-to, we will guide you through the necessary steps to create a new Bioschemas profile.

Keywords: schema.org, markup, structured data, bioschemas profile, schema.org, markup, structured data, bioschemas profile

How to check your Bioschemas deployment

This guide will show you how to check your deployed markup, both locally and what is retrieved by external services.

Keywords: schemaorg, JSON-LD, bioschemas

How to mark up your own resource with Bioschemas

In this how-to, we will guide you through the necessary steps in order to get a JSON-LD markup describing your own resource using a Bioschemas profile

Keywords: schemaorg, markup, structured data, bioschemas, schemaorg, markup, structured data, bioschemas

Adding Schema.org to a GitHub Pages site

This guide will show you how to do add Schema.org markup to a GitHub Pages site.

Keywords: schemaorg, TeSS, GitHub pages, schemaorg, TeSS, GitHub pages

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