Top Tweets for #CompGenomics
if you have an interest in gaining experience in the computational sciences, in a variety of departments ranging from #compgenomics, #machinelearning, #cheminformatics, scientific computing or clinical biomarkers, consider a summer internship at Vertex https://t.co/Jhf6zKdgn3
Time to look for new blood! We have postdoc positions for my lab at Columbia. Candidates have background in #Biochem/#RNAbio, and/or #CompGenomics, and/or #MachineLearning. Projects broadly related to RNA regulatory networks, including new tech dev. Pls RT.
Sorry about the spam...
when you are a dev of more than one application that depend on each other, sometimes we need to spread the word to different communities.
@GeneHoodApp users are affected by this current limitation of @Mist3Db
#mist3Rocks #bioinformatics #compGenomics
GeneHood leverages @Mist3Db to collect information about the genes and genomes.
If you were using GeneHood and ran into some errors, it might be because MiST3 doesn't have the genome you are looking for.
Let MiST3 devs know the genomes you want to see on MiST!
It's finally in PRINT!!! :) Fun work with @CancerConnector, @BuffaFrancesca, and Dr. Adrian Harris #miRNA #compGenomics #mathOnco Pan-cancer characterisation of microRNA across cancer hallmarks reveals microRNA-mediated downregulation of tumour suppressors https://t.co/AP4FU2q0co

Today Miguel Vazquez head of #CompGenomics @bsc unit.
Technical description of the #rbbt framework, including the facilities for pipeline modelling and fast adapting to complex & changing environments@of genomics.
Including -easy-adaptation to #HPC (in the slide)


And we are done! Thanks everyone who participated
in #compgenomics 2017. Looking forward to what we will learn next year! 28 November to 5 December 2018 @cshlmeetings

Last group! Looking at chromatin reorganization in development with Hi-C and ATAC-seq #compgenomics

Next RNA-seq group focusing on finding *novel* transcripts between two conditions. #compgenomics

@bjoseph @jtleek All of the course materials from #compgenomics are available here: https://t.co/RaH5lalgHg
(But it is much better to be here!)
Next, our "RNA-seq supergroup" hunting for differentially expressed genes and pathways between healthy and diseased tissues. #compgenomics

(I'm going to be a little vague on project details because students bring their own nascent project data to #compgenomics and learn to analyze using their own data)
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