DDEA MULTI-MILLION GRANT ALLOCATION
The DDEA is happy to announce the first 16 DDEA grant recipients
👉 THE 16 GRANT RECIPIENTS CAN BE FOUND HERE: https://t.co/dyGRbRyGn4
👉 THE PRESS RELEASE: https://t.co/nt7TylGqLy
#DDEA#Grants#PhD#Postdoc#VisitingProfessor
Very proud to see this published.
https://t.co/IMhK474xL1
A big shout out to past and present members of my incredible team @JensenLab_UCPH. Congratulations Pawel Schweiger, Marie Le Bouteiller, @maltethodberg, Shiro Yui and Ditte Clement.
Congratulations to Malte Thodberg, @rikke_nielsen and Nicholas M. Morton who have all received grants from the @DDA_Denmark to carry out research at CBMR.
Learn more about their projects, below 👇
https://t.co/iPebcJbTZw
@ZLinSLU@SLUBiology@SLUResearch @NSF_BIO @evol_genomics Very interesting preprint! You might also be interested in a fission yeast CAGE paper we did recently https://t.co/v8vr5X99I3. We also looked at TATA-box motifs and broad/sharp TSS clusters. Happy to discuss!
Finally out. Nice collaboration with Axel Thieffry and Peter Brodersen. We show a possible reason for why PROMPTS are not common in plant genomes. Also interesting exosome-sensitive lncRNAs antisense to genes. https://t.co/9i5SiqR1qC
Researchers from @uni_copenhagen present CAGEfightR, a framework for analysis of CAGE and other 5′-end data implemented as an R/Bioconductor-package. https://t.co/rt1eVLpXjH
How do you use it? We also have a comprehensive workflow with example code showing how to use CAGEfightR in practice: https://t.co/HxzsMc8DJU. This includes using CAGEfightR with popular differential expression tools such as DESeq2, edgeR and limma.
The paper for the CAGEfightR R/Bioconductor package is out in BMC Bioinformatics https://t.co/4f5zcjQr94! CAGEfightR makes it easy to analyze your 5’-end data (CAGE, PRO-Cap, etc) #rstats#Bioconductor
I will be taking up a visiting professorship at Hiroshima University in the near future, opening a second, purely computational bioinformatics lab. Looking for talented postdocs – spread the word!
https://t.co/MFgNl6mRsF
At the beginning of the millennium, others and us identified many lncRNAs. New exciting biological paradigms emerge from analysis of functional lncRNAs only when we can know their functions.
In the #FANTOM6 pilot project we tested functions of 285 lncRNAs
https://t.co/xoDHiRafUM
Two postdoc positions available in the Hematogenomics group at Lund University, one computational (https://t.co/dHg3DBOEqA) and one experimental (https://t.co/XwQj7nnbCJ), both on the exciting BloodVariome project!
Characterizing lncRNA function is key to further our understanding of gene regulation and cell biology. See: Functional Annotation of Human Long Non-Coding RNAs via Molecular Phenotyping With @carninci @difersanchez @eddieimada https://t.co/k7tGyB1RYO