Danang Crysnanto

Senior Bioinformatician @AstraZeneca | Oligonucleotide and RNA Therapeutics| Dr. Sc. ETH @ETH_en | Bioinformatics

[Danang Crysnanto @crdanang]

I submitted the final version of my doctoral thesis and it is now available online at
@ETH_en repository. Hope it is useful for the others @animal_eth @usys_ethzh

https://t.co/JK5iIZ96Sr

[Danang Crysnanto @crdanang]

@DarrenObbard @BillyHPalmer Filled in. Thanks for the shoutout

[Qin Li @QinA2I]

Super excited to share our paper published today in @Nature, where we discover the primary role of ADAR RNA editing in inflammatory diseases. Huge thanks to Mike @mikegloud, Jonathan @jkpritch, Stephen @sbmontgom, Billy @RNAedit and other collaborators. https://t.co/Bz7VIMk2rg

[Danang Crysnanto @crdanang]

@mhfariduddin @wcgalp2022 Thank you for updating

[Danang Crysnanto @crdanang]

@DNAMaren Thanks for updating

[Nature Biotechnology @NatureBiotech]

Expanding RNAi therapeutics to extrahepatic tissues with lipophilic conjugates https://t.co/MijNd0tgCm

[Kotaro Nakanishi @ktr_nakanishi]

Structure of the Dicer-2–R2D2 heterodimer bound to a small RNA duplex | Nature https://t.co/6qojpt2yg6

[Alessandro Torri @AleTorr_i]

I’m thrilled to announce our new work on the origin of the RNA interference is out in @PLOSBiology.
Great interdisciplinary collaboration between Saleh’s lab (@SalehLabParis), Thomas Pradeu (@pradeu) and Johannes Jaeger (@yoginho). 1/6
https://t.co/mh0yenM9LX

[Javier Santoyo @jsantoyo]

Targeted long-read sequencing facilitates phased diploid assembly and genotyping of the human T cell receptor alpha, delta and beta loci. #LongReads #TargetedSequencing #PhasedAssembly #TcellReceptor https://t.co/W86lmSeGWG @biorxivpreprint

[Danang Crysnanto @crdanang]

@naechyun_chen @BenLangmead @mike_schatz @acarroll_ATG @aphillippy Impressive work and Good luck!

[UC Santa Cruz Genomics Institute @ucscgenomics]

New variation graph release!
Some milestones from this release include:
📈 vg gbwt can now manipulate GBWT tags and change reference samples in a GBWT or GBZ
📈 vg now has metadata for paths
https://t.co/3t48skW4Lt

[Zev Ross @zevross]

I only just started using the native pipe in #rstats (rather than the magrittr pipe). I'm realizing that there are some important differences. There is a nice blog post with details by @ivelasq3 here: https://t.co/kP3ar8OLj3

[Danang Crysnanto @crdanang]

@yutang_mpb_eth @ALloretVillas @animal_eth Thanks for the interest! There are some discussions on the outlook of Chapter 4, you might also be interested in this paper https://t.co/QxWRSyRhJD

[Alex Leonard @IcyHawaiian]

Excited our work on assessing genome assembly and pangenome construction for bovine trios is now out in @NatureComms https://t.co/PH5XfR7v9U. Thanks @crdanang , @ZihHuaFang , @BickhartDerek, @ben_d_rosen, @tplsmith for the fruitful collaboration. We found several key results. 1/8

[Animal Genomics ETH Zurich @animal_eth]

Our work on creating #pangenomes from high-quality PacBio HiFi and ONT assemblies on bovine trios of increasing heterozygosity is now out in @NatureComms https://t.co/n6TED4tlzE, summarised nicely here https://t.co/PnAHMtvnbN. Great collaboration @ETH_en and @USDA_ARS!

[Eric Topol @EricTopol]

A new, tour de force review of the clinical progress of mRNA vaccines, from infectious diseases to cancer applications @NatureBiotech
https://t.co/Y4dKDWtvXQ
@AllenYJiang @kochinstitute @MITChemE and colleagues

[BioDecoded @BioDecoded]

Current progress and open challenges for applying deep learning across the biosciences | Nature Communications
https://t.co/Jqwah5ZCrD

#DeepLearning

[bioRxiv Bioinfo @biorxiv_bioinfo]

Building a knowledge graph to enable precision medicine https://t.co/YBmEXCKZiG #biorxiv_bioinfo

[Heng Li @lh3lh3]

Minigraph v0.17 released with more accurate graph chaining (using GWFA), preliminary base alignment (using miniwfa) and thus more precise graph generation. Graph properties remain similar. Base alignment currently slow for species of high diversity. https://t.co/0AiV4R758O

[Erik Garrison @erikgarrison]

Variation graphs are an attempt to solve a key theoretical problem in biology: How do we model many-way comparisons between sequences that describe all possible DNA mutations?

[UC Santa Cruz Genomics Institute @ucscgenomics]

New release highlight: vg mpmap is now faster on very complex cyclic graphs and distinguishes unmapped reads from reads with MAPQ 0

https://t.co/NnPR4LQwSH

@BenedictPaten @erikgarrison @jeizenga @jltsiren @amnovak @JMonlong @glenn_hickey