The incredible @Deepmind #AlphaFold protein structure predictions for the human proteome and 20 other model organisms are accessible to anyone in a fabulous #openaccess database the #AlphaFoldDB hosted by EMBL-EBI alphafold.ebi.ac.uk

Delighted to present AlphaDesign, a computational tool for #SyntheticBiology that builds on #AlphaFold to design novel proteins with diverse folds, as binders and fold-switchers. With Michael Jendrusch Jan Korbel EMBL biorxiv.org/content/10.110…

Haplotype-aware single-cell multiomics uncovers functional effects of somatic structural variation biorxiv.org/content/10.110…

Haplotype-resolved inversion landscape reveals hotspots of mutational recurrence associated with genomic disorders biorxiv.org/content/10.110…

A new era for European molecular biology embl.org/news/lab-matte… via EMBL

Interested in the application of long read technology on a cancer genomics? Read our pre-print on the application of ONT sequencing on a complex Medulloblastoma case! biorxiv.org/content/10.110… (1/n) Jan Korbel Stegle Lab & Aurelie Ernst

Juhu, heute ist es endlich soweit. Die erste Folge des GHGA #Wissenschaftspodcasts ist live. Wir sind schon sehr gespannt auf eure Rückmeldungen 😊 Ihr findet den Podcast sowohl auf unserer Homepage (ghga.de/de/codedeslebe…) sowie auf den meisten gängigen Podcast-Plattformen!

Read our current paper on recurrent inversion polymorphisms and genomic disorders, based on a great collaboration with the Eichler and Marschall labs cell.com/cell/fulltext/…

We are hiring postdocs! Reach out if you are keen to work in single cell and long-read genomics, computational biology, or image analysis, to study patterns of mosaicism! Our interdisciplinary are, depending on interests, geared more towards experimental or data science research.

Happy birthday AlphaFold Database, on the day Gregor Mendel would have celebrated his 200th birthday. #AlphaFold enabled fantastic scientific achievement over the course of this last year!

EMBL’s Data Science Centre is growing - become a part of it! EMBL is looking for a Team Leader in Bioimage Analysis - apply here: embl.org/jobs/position/…

Functional analysis of structural variants in single cells using Strand-seq bit.ly/3EBUY62

Our work on the scNOVA single cell method has now been published in Nature Biotechnology. This Strand-seq based computational method combines nucleosome occupancy and SV analysis to determine the effects of somatic structural variants in leukaemia. bit.ly/3EBUY62

Congratulations to our EMBL Heidelberg labs that received LEAN Green Labs UK awards! And a huge thank you to everyone who made helped to make it possible!

Cell type-specific consequences of mosaic structural variants in hematopoietic stem and progenitor cells biorxiv.org/cgi/content/sh… #bioRxiv

So proud of EMBL to have won the German AI prize - congratulations to all my colleagues across EMBL who contributed to this - in particular those EMBL-EBI - and so well deserved. EMBL one of the worldwide leaders of AI in biology.

Thrilled to announce the largest long-read based SV resource on open samples (1kGP) to date. Highlights include a pangenome augmentation pipeline, sequence resolution of 74k insertions, fine-scale SV classification and evidence for recurrent SV formation. Great team effort:

To clarify, a companion manuscript (medrxiv.org/content/10.110…) to our study (biorxiv.org/content/10.110…) used our long-read dataset for imputation and genome-wide association studies. Collectively, both studies show how long-reads can be leveraged for broad scientific applications.

Finally, very excited to have contributed with Sonia Zumalave at EMBL-EBI to the following study led by Jan Korbel presenting a transformative approach to study the genomic consequences/underpinnings of karyotypic aberrations using imaging + sc genomics! biorxiv.org/content/10.110…

An intriguing, comprehensive analysis of retrotranspositions in cancer genomes using long reads by the Tubio and Rodriguez-Martin labs, revealing the frequent occurrence of retrotransposon-mediated rearrangements in cancer biorxiv.org/content/10.110…