![Cambridge Genomics Virtual Meetup [Genomic Medicine] 20th May 2020 19:00 PM BST](https://i0.wp.com/manuelcorpas.com/wp-content/uploads/2020/05/1280px-NHGRI_human_male_karyotype.png?fit=795%2C623&ssl=1)
It is our pleasure to announce our Cambridge Genomics Virtual Meetup for the month of May (2020) on Wednesday 20th […]
Author: Manuel Corpas
What big data tools are available today to aid in delivering precision medicine to patients?
Up and coming technologies that use high throughput data generation as their core contribution to Precision Medicine.
What is Precision Medicine?
A succinct definition of precision medicine and its relationship to personalised medicine.
The Revolution of Single Cell Sequencing Trickling Right Now
An informal chat with to experts on the Genomics scene from the Cambridge (UK) perspective.
Highlights from #AGBT19
In this podcast, we talk to scientist Albert Vilella, who has been closely following what has been happening in the Twittersphere last week and in particular the renown #AGBT19 event at Marco Island, Florida.
Personal Genomes: Accessing, Sharing and Interpretation #PersGen19 conference – 11/12 Apr 2019 Hinxton, Cambridge
Focusing on opportunities and limitations in personal genetic testing, the benefits of sharing personal genomes, the challenges, resources and technologies to help with interpretation of personal genomes.
6 Reasons Why Healthy Genomes Should Be Sequenced
The ultimate genetic test Whole Genome Sequencing (WGS) is considered ‘the ultimate genetic test’ [1] as it is of timeless […]
Explaining what Cambridge Precision Medicine Does to the non-technical
Cambridge Precision Medicine (CPM) wishes to help clinicians interpret genomics for accurate diagnoses. Particularly in developed economies, clinicians in all […]
#GenomicsFest London 2018 Day 1 Impressions
Using my phone camera carried out short interviews to attendees at the Festival of Genomics London 2018. I was interested […]
‘Culture Stands on the Way of Biomedical Data FAIR Values’ Think #ELIXIR4Innovation Audience
The FAIR acronym in the context of biomedical data refers to the need for any data produced with public funds […]