1,000 species get their genomes sequenced for the first time
A thousand reference genomes of the highest quality have now been produced for diverse eukaryotic species across the tree of life.
Building a bioinformatics community to tackle genomic questions at scale
Over 60 bioinformaticians and developers from across the Sanger Institute and EMBL’s European Bioinformatics Institute came together to take part in this nf-core hackathon to more easily share and analyse genomes.
Covid Connections – Big Data in a Pandemic World
Researchers discuss COVID-19 genome data and its complexities, data sharing and security, and their careers in data science
Genomics in the cloud
The huge, international Pan-Cancer project is the first large-scale use of distributed cloud computing in genomics. As genomics becomes a big data science, it is likely to be the first of many
Best of both worlds
A degree apprenticeship offers the opportunity to earn whilst studying.
Pioneering Computer Science: Celebrating Ada Lovelace Day and the achievements of women in science, technology, engineering and maths
Ada Lovelace Day celebrates women in Science Technology Engineering and Maths (STEM). In honour of the day, we asked some of our software developers and bioinformaticians to tell us about women who have inspired them in their own work. Here are some of their suggestions.
Sanger’s super-sized sequencing scales new heights
We're celebrating: we've just read the same amount of DNA in one year as we achieved in the previous 25 years combined. This dizzying speed offers unprecedented possibilities to unlock new understanding in health and disease
A Day in the Life: Bioinformatician – collaboration, cancer and all life on Earth
Understanding the nature of life on Earth has been revolutionised by DNA sequencing. In the past we could only observe what was happening, now we can read (and alter) the blueprints of life to understand health and disease at the most intimate level. Yet none of this would be possible without the unsung work of bioinformaticians
Helping computers to read symptoms
15.04.15 Big data can help us find the causes of rare diseases. But, says Anika Oellrich, computers must first understand the many ways we describe symptoms
