This project receives funding from the @EU_H2020 Research & Innovation Programme. Any related tweets reflect only the views of the project owner. Zebrafish FTW!
I am happy and proud that our DANIO-CODE @daniocode paper is finally out in Nature Genetics @NatureGenet! I wish to say thank you to everyone who helped and supported our work up until now, with the hope we can continue to deliver in the future as well!
https://t.co/HRhwkmMnHd
DANIO-CODE is proud to share our findings and a huge multi-genomics resource on the regulatory elements in the development of #zebrafish. We analyzed 1,802 previously (un)published sequencing data sets across 38 developing stages and 21 assay types. (1/n) https://t.co/FQ6Zn6StOE
Really excited to share my first author paper from my thesis work published in @genomeresearch https://t.co/TJcGMglO6z In this study we show the presence of two different sets of antisense ncrna’s during zebrafish development.
Our work on antisense ncRNAs is now accepted and online in @genomeresearch. Congratulations to @Sanjana17791037 on her first author publication and hard work. Also @carninci and Hazuki for great collaboration, reviewers for constructive comments. @ZencodeITN
We started the this project with the ambitious goal of studying how the germ line links generations at the beginning of life. Now I like to think that goal is achieved and we better understand how the germ line forms. Great thanks to all co-authors
Working in big and small collaborations, we see a strong need to combine the description of sequencing experimental designs and data to support the (re)usability of data and their sharing.
New paper alert!!! Read our latest by @CSchwayer to see how and why tight junction proteins phase separate and flow in vivo! A thread will follow soon :)
Exciting @Dev_journal special issue on chromatin & epigenetics
Highlights the new technologies & thinking changing the field
Many thanks to our editors @benoitbruneau, Haruhiko Koseki, Susan Strome and Maria-Elena Torres-Padilla for putting it together
https://t.co/z4N8GDt9hU
Both platforms showing VERY CONSISTENT results! Comparative analysis of sequencing technologies for single-cell transcriptomics https://t.co/ARCdLK5hu1
I'm starting to lose track of all the highly nebulous 3D genome terms TADs, microTADs, subTADs, domains, loops, contacts, CRDs. I love reading about this stuff but it's literally impossible to know exactly how these terms map to each other in different papers. Please standardize.
Today ESRs Swarnima Joshi and Sanamjeet Virdi from Strähle Lab at KIT published their first paper of which they are co-first authors.
Check it out fresh from the press:
https://t.co/ptHQg0CLEN