JUST UPDATED: our massive database of POSTDOC fellowships is available for download.
We list 383 different fellowships with description of the award, eligibility criteria, deadline and amount.
A fellowship gives you more freedom
Download for free here: https://t.co/EbTahdzJ9X
For those who want to move from standard (inefficient, expensive) spin column isolation to DIY magnetic bead isolation of pDNA/genomicDNA/RNA, including making your own coated beads, check this out: https://t.co/F8MopYTfVI
I am excited to announce the publication of TADA, a tool to prioritize pathogenic CNVs @GenomeBiology! TADA annotates CNVs with respect to the affected regulatory environment and computes a pathogenicity score indicating their functional impact.
https://t.co/pjfiev8d5r
Wir haben uns entschlossen, einen Konvoi an die slowakisch-ukrainische Grenze zu entsenden. Dort werden wir Menschen unterstützen, die versuchen, aus dem Krisengebiet nach Deutschland zu fliehen. Unterstützt uns dabei! https://t.co/lVqy92C0kf
„Anyone can identify Karikó in retrospect, given her persistence and her eventual discoveries. But what do we do right now to find the 2022 versions of Karikó…“
https://t.co/AITd6cBElD via @statnews
🗺️Genome-wide map of enhancers and their activity levels in murine stem cells – a useful resource to elucidate gene-enhancer interactions by @lv_glaser & Sebastiaan Meijsing (#MPUSP)
🔗 https://t.co/HwrG0Ztb0x
Nice Christmas present! Our Preprint on Xist's regulatory landscape is now out @MolecularCell! Peer review added some deletions and an conservation analysis of Xert. Congratulations again to first authors @RutgerGjaltema and @TSchwammle, and thanks to Vivi for the cake!
🧬 How much information on the tissue-specific regulation is there in enhancer sequences? @PhilippBenner2 (@VingronLab) deciphered and predicted sequence patterns characteristic for certain tissues.
👉 https://t.co/mOiek7wvuj
@bffswithbiology Sure, all data was deposited at https://t.co/4ezQgymJ3N the regions + activity scores can be downloaded via the weblink (top of GEO page or https://t.co/i8spWE7TsO)
Interested in enhancers in mESCs? We’ve got a genome-wide quantitative map for you! Check it out 👉 https://t.co/AVvDmQqbui and learn how we use FAIRE-STARR-seq to find and #machinelearning to predict #enhancers based on sequence!