Are you looking for a postdoctoral fellowship that combines experimental 🧪 and computational 💻 approaches? Applications are now open for our EMBL-EBI–Sanger Postdoctoral (ESPOD) programme. Choose from one of our seven predefined projects below or suggest your own. - Multicellular molecular characterisation of inflammatory bowel disease - A reference of human structural variation impact using engineered genomes - Predictive modelling of cell signalling across whole tumours to identify therapeutic targets in brain cancer - Generative modelling of single-cell data by linking textual and molecular information to characterise skin cells - Single-cell multiomics to explore the origins of high grade serous ovarian cancer - New bioinformatic and statistical approaches to longitudinal metagenomics - Integrating single nucleotide variation (SNV) and copy number variation (CNV) signals for trait association testing in large human cohorts This programme is a collaboration between EMBL-EBI and our neighbours, the Wellcome Sanger Institute. 🗓️ Applications close on 29 September. 🖐 Tag a colleague below who would be perfect for this opportunity. Read more about the funding and timelines: https://lnkd.in/d77e8fj #postdoc #academicjobs #biotech
European Bioinformatics Institute | EMBL-EBI
Software Development
Hinxton, Cambridge 85,524 followers
Powering big data for the life sciences
About us
Working at EMBL-EBI gives you the opportunity to focus your energy and skills on something that really matters: using technology to contribute to discoveries that benefit humankind. We empower researchers everywhere to realise the potential of ‘big data’ in biology, and build sophisticated tools for exploring life at the atomic level.
- Website
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http://www.ebi.ac.uk/
External link for European Bioinformatics Institute | EMBL-EBI
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- Hinxton, Cambridge
- Type
- Educational
- Founded
- 1994
- Specialties
- Databases, Bioinformatics training, Industry, EMBL International PhD Programme, Computational biology, Software development, User experience design, Web development, Cloud technology, Data analysis, Bioinformatics, Web production, Data infrastructure, Computational research, Software, Life sciences, Open data, Open access, COVID-19 data, and Data science
Locations
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Primary
Get directions
Wellcome Genome Campus
Hinxton, Cambridge CB10 1SD, GB
Employees at European Bioinformatics Institute | EMBL-EBI
Updates
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One of the major challenges in cancer treatment is drug resistance. Understanding what molecular changes are causing drug resistance can help inform which clinical paths to take. New research, published in Nature Genetics, identifies that all cancer mutations causing drug resistance can be grouped into four main categories. Using CRISPR gene editing and single-cell genomic techniques, the study mapped the genetic landscape of drug resistance in cancers such as colon, bone, and lung. This work also helps to explain why some treatments are not working and provides insights into second-line therapies that can be used to overcome resistance and improve patient outcomes. Find out more 👇 https://lnkd.in/e9wzrF24 #bioinformatics #singlecell #personalisedmedicine
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Are you a student in France studying computer science, statistics, or bioinformatics? We’ve partnered up with the French Embassy in the United Kingdom for a new round of internships at EMBL-EBI. These are a fantastic opportunity to enhance your skills and explore cutting-edge fields like biomedical research, biodiversity, agri-tech and more. Who can apply? ➡️ Students registered in French higher education at the Master's level or equivalent. ➡️ Please note: PhD students are not eligible for this program. 📆 Application deadline: 8 December 2024. Find out more and apply: https://lnkd.in/dd9aYMzT Know someone who would be perfect for this opportunity? Tag them below 👇 #bioinformatics #internship
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Did you know that almost everything has a microbiome – a community of microorganisms that lives inside that environment? 🦠 Some microbiomes, such as the human gut, are well studied and characterised. However others – like those found in nature – can contain some very surprising microorganisms. Lorna Richardson, the Coordinator of EMBL-EBI's Microbiome Resources discusses the world of microbiomes and her fascination for uncovering new things hidden within them. https://lnkd.in/eGsJ3EA8 #bioinformatics #microbiome EMBL
EMBL´s people: Lorna Richardson, Coordinator for the Microbiome Resources, EMBL-EBI Hinxton
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European Bioinformatics Institute | EMBL-EBI reposted this
Our featured GCBR of the week is InterPro/Pfam that provides functional analysis of proteins by classifying them into families, predicting domains and important sites.��
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Genome-wide association studies (GWAS) focusing on common single nucleotide polymorphism (SNPs) have advanced our understanding of the genetic causes of many traits and diseases. However, for some conditions, this method is reaching its limits. To better understand the genetic basis of diseases, researchers are turning to other types of genetic variation, such as copy number variation (CNV) – changes in the number of copies of a particular region of DNA. In this Nature Genetics review, researchers discuss: ➡️ new technologies and computational tools that support the study of CNVs across the genome at scale ➡️ limitations in resource infrastructure holding back the wider uptake of CNV-GWAS ➡️ guidelines and standards needed for CNV-GWAS This shift opens opportunities to identify new genetic factors behind diseases, improve genetic disease risk modelling, and inform downstream applications such as drug discovery. Find out more and read the full review here. https://lnkd.in/euv5c8_g #bioinformatics #precisionmedicine #drugdiscovery
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Sharing your code is a first step towards building open source software, but it’s not enough to ensure its success. This live panel discussion focuses on steps to increase the impact of open software projects, including maintenance, community building, discoverability and more. Our speakers will share their experience working with open source code, discuss the challenges they have encountered and practical solutions. 🗣️ EMBL-EBI speakers: SANTOSH TIRUNAGARI, Senior Machine Learning Developer, Europe PMC Melanie Vollmar, ARISE and Marie Curie Fellow, Protein Data Bank in Europe (PDBe) Nicolas BOSC, Patent Data Scientist & Informatics Expert, ChEMBL Ines Smit, Safety Data Scientist and Informatician, ChEMBL Maria Levchenko, Senior Outreach & Engagement Officer, Europe PMC Join us for this LinkedIn Live to find out more and put your questions to our panel. #OAweek #opensource Organisers: Europe PMC
Panel discussion: I made my code open – now what?
www.linkedin.com
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Happy birthday to our colleagues in Open Targets 🥳 Enjoy a well deserved celebration after 10 years of pushing the boundaries of drug discovery. Here’s to the next 10 years!
Happy 10th birthday Open Targets! 🎉 Thank you to all the speakers, poster presenters, and attendees at yesterday's 10 years celebration, and of course, an enormous thank you to everyone who has worked to make Open Targets what it is today. Here's to the next 10! 🥂 #OpenTargetsAt10
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Congratulations to the AlphaFold team on this momentous achievement! Back in 2021 we were delighted to team up with Google DeepMind to make the AlphaFold2 protein structure predictions openly available to the world through the AlphaFold Database: https://lnkd.in/dMtBj9C To see our open data resources used to train the AI behind #AlphaFold, and the incredible impact that the scientific community is already generating with AlphaFold is beyond rewarding. Our collaboration continues as this year we jointly developed a freely available AlphaFold course. https://lnkd.in/eY8tFmCG We’re confident that championing open data will continue to bring many more rewards to science and society alike.
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 Nobel Prize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.” The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential. The diversity of life testifies to proteins’ amazing capacity as chemical tools. They control and drive all the chemical reactions that together are the basis of life. Proteins also function as hormones, signal substances, antibodies and the building blocks of different tissues. Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks. In 2003, David Baker succeeded in using these blocks to design a new protein that was unlike any other protein. Since then, his research group has produced one imaginative protein creation after another, including proteins that can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors. The second discovery concerns the prediction of protein structures. In proteins, amino acids are linked together in long strings that fold up to make a three-dimensional structure, which is decisive for the protein’s function. Since the 1970s, researchers had tried to predict protein structures from amino acid sequences, but this was notoriously difficult. However, four years ago, there was a stunning breakthrough. In 2020, Demis Hassabis and John Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. � Life could not exist without proteins. That we can now predict protein structures and design our own proteins confers the greatest benefit to humankind. Learn more Press release: https://bit.ly/3TM8oVs Popular information: https://bit.ly/3XYHZGp Advanced information: https://bit.ly/4ewMBta
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European Bioinformatics Institute | EMBL-EBI reposted this
EMBL congratulates David Baker, Demis Hassabis, and John Jumper on the 2024 #NobelPrize in Chemistry for their seminal discoveries and developments on protein structures. While David Baker developed computational methods that can create new proteins, Demis Hassabis and John Jumper helped develop the revolutionary AI tool AlphaFold, which can successfully predict the three-dimensional structure of a protein from a sequence of amino acids. Knowing a protein’s structure offers clues about the protein’s role, its link to health and disease, and its interactions with other molecules or drugs. EMBL partnered with Google DeepMind to make the AlphaFold 2 predictions freely and openly available to all, through the AlphaFold Protein Structure Database. The AlphaFold Database, which launched in July 2021, has a staggering 200 million protein structures, from over one million organisms. AlphaFold demonstrates the virtuous circle of open data – by sharing data, scientists are enabling future discoveries. The Nobel Prize | #chemnobel | #alphafold | Google DeepMind
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