Marc Jan Bonder Profile
Marc Jan Bonder

@mjbonder

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Postdoctoral-fellow / team-leader studying the genetics, epigenetics and environmental effects on biological #omics. #DKFZ & #EMBL (former #EBI & #UMCG)

Heidelberg, Germany
Joined December 2015
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@mswertz
Morris Swertz
2 years
#vacature We zoeken een #ICT teamleider voor de @MOLGENIS groep @UMCG. Samen ontwikkelen we slimme software voor gezondheids onderzoek. Kun jij zorgen voor team organisatie en persoonlijke begeleiding? Dan doen de (project)leiders de planning. Zie https://t.co/fCvDnnCcfo.
lnkd.in
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@MilaniLili
Lili Milani
2 years
Cultural program of our annual #geneforum23, join us next year when Tartu takes on the role as European Capital of Culture @Tartu2024 #DuoRuut
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@pille_hallast
Pille Hallast
2 years
I am thrilled to share our study on the de novo assembly and characterisation of 43 diverse human Y chromosomes, published today in @Nature, together with the first #T2T Y assembly from @aphillippy, @ArangRhie and co-authors
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@LudeFranke
Lude Franke
2 years
We are very proud that Monique van der Wijst @MoniquevdWijst has been awarded a VIDI grant for her project to study gene expression variation. Monique, many congratulations! @umcg @univgroningen @NWONieuws
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@LudeFranke
Lude Franke
2 years
Parallel to this we are working on single-cell eQTLGen as well, a federated single-cell eQTL meta-analysis, where we aim to identify cell-type specific eQTLs. Please have a look at https://t.co/pvj5sdfZke for more information on this exciting project as well.
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@LudeFranke
Lude Franke
2 years
Are you interested in trans-eQTLs? We are working on a new genome-wide eQTL meta-analysis in blood samples ( https://t.co/pvj5sdfZke). Over 30 cohorts are already contributing to this initiative. Using a federated analysis model, cohorts do not have to share privacy sensitive data
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@LudeFranke
Lude Franke
2 years
Genetic variation can affect co-expression relationships, as we see in a meta-analysis of single-cell eQTL data, now out: https://t.co/NPDV5DUmKE. We observe colocalisation between a rheumatoid arthritis locus and effects on co-expression of T cell activation genes with RPS26.
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genomebiology.biomedcentral.com
Background Expression quantitative trait loci (eQTL) studies show how genetic variants affect downstream gene expression. Single-cell data allows reconstruction of personalized co-expression networks...
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@HarmJanWestra
Harm-Jan
2 years
Curious about how genetics regulates genes in the brain, and whether this can be linked to disease? I am looking for a PhD student to research just that!
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@EMBLHeidelberg
EMBL Heidelberg
2 years
New EMBL research shows that long-read genomic sequencing seems to detect some complex DNA mutations better than short-read genomic sequencing. This provides a tool to better identify, understand, and detect complex DNA mutations that lead to cancers. https://t.co/UQra41smBt
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@OliverStegle
Oliver Stegle
3 years
Exciting opportunity to join us as scientific coordinator to shape one or multiple of the collaborative efforts our lab coordinates. Suitable for scientists transitioning into a coordinator role. Data science or more biological background both welcome.
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@ReikLab
Reik Lab
3 years
New work from the lab in which we developed a computational method for predicting the age of individual cells from single-cell methylation data https://t.co/eDGmjBYcrQ Fantastic collaboration with @vonMeyenn @mjbonder @OliverStegle @rulandsgroup
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@vonMeyenn
Ferdinand von Meyenn
3 years
Do all cells age the same? At least not by DNA methylation age: Single cell DNA methylation ageing in mouse blood https://t.co/kwuASAnFK3 #bioRxiv. Wonderful collaboration between @mjbonder @ReikLab @OliverStegle @vonmeyenn_lab & @rulandsgroup!
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@DanielDSeaton
Daniel Seaton
3 years
Come work with us! It's an exciting time to work in any one of these fields, let alone all three.
@alafitamasip
Aleix Lafita
3 years
We are HIRING! 🔊 Come join our Computational Biology team at @GSK to work on scientific research and method development for drug discovery using protein informatics, human genetics, and machine learning. Applications open until January 8th:
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@pille_hallast
Pille Hallast
3 years
Happy to share our preprint on the de novo assembly and characterisation of 43 diverse human Y chromosomes, revealing remarkable complexity and diversity in size and structure. #HGSVC
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biorxiv.org
The prevalence of highly repetitive sequences within the human Y chromosome has led to its incomplete assembly and systematic omission from genomic analyses. Here, we present long-read de novo...
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@mjbonder
Marc Jan Bonder
3 years
The toolbox encompass a efficiënt file-format, a segmentation method and differential methylation testing and reporting! Work by Rene Snajder, together with @AdrienLeger2 and @OliverStegle and input of many collaborators. Thanks all!
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@mjbonder
Marc Jan Bonder
3 years
New work in the ONT methylation space! We had been working on it for a while but want to spread it wider now! We present Pycometh a toolbox for methylation analyse on ONT sequencing data!
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biorxiv.org
Advances in base and methylation calling of Oxford Nanopore Technologies (ONT) sequencing data have opened up the possibility for joint profiling of genomic and epigenetic variation on the same long...
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@OliverStegle
Oliver Stegle
3 years
Exciting opportunity to join us as scientific coordinator in data science. The role will take key responsibilities to coordinate data science activities at @DKFZ and in the Heidelberg area.
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@mjbonder
Marc Jan Bonder
4 years
Thanks to @tobias_757 @ReneSnajder @AdrienLeger2 Milena Simovic @OliverStegle @ewanbirney Aurelie Ernst @JanKorbel5 for the great collaboration! @DKFZ @emblebi @embl
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@mjbonder
Marc Jan Bonder
4 years
We believe our work provides a basis of the broader application of ONT seq in cancer sequencing studies. Profiling complex genomic events as well as the DNA methylation landscape. (3/4)
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@mjbonder
Marc Jan Bonder
4 years
We: 1) describe a novel type of complex genomic rearrangement, templated insertion threads; 2) Provide a haplotype-resolved assembly of a chromothripsis event; 3) Functionally annotate these events using methylation called from ONT and RNA seq data (2/n)
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