Tazro Inutano Ohta

#ChIPAtlas Our paper about a major update of ChIP-Atlas is out! ChIP-Atlas 3.0 provides not only ChIP-seq, ATAC-seq and Bisulfite-seq data, but also Hi-C, ChromHMM, GWAS SNPs and eQTLs data. Great contribution from @ZhaonanZou and @inutano ! academic.oup.com/nar/article/do…

Good morning Japan! Mount Fuji looking amazing with fresh snow. I have a week talking to Japanese colleagues ⁦@DDBJ_topics DNA and metabolomics data sharing for the benefit of the world!

I've been away from contributing to the Galaxy project, but so happy to have had a chance to introduce the NanoGalaxy to the Japanese Nanopore community! Over a decade passed, but I'm sure of that the Galaxy and its community are still invaluable for all researchers in biology!

Finished all talks and enjoying further networking! Thank you for all authors helping this event ☺️

Next is Nanopore analysis with Galaxy by @iNut

In addition, a new tool, Diff Analysis, has been released that allows the retrieval of differentially methylated regions (DMRs) from two given sets of WGBS data. Thanks to @inutano and @ZhaonanZou for their great contributions!

#ChIPAtlas Happy to announce a major update of ChIP-Atlas that now allows you to browse not only the epigenomics data but also a wide range of genomic annotations such as Hi-C, ChromHMM, GWAS SNPs and eQTLs data. chip-atlas.org

Was great to see @inutano presenting in #BOSC2023 on Tonkaz, his recent paper in GigaScience presenting a workflow reproducibility scale for automatic validation of biological interpretation results doi.org/10.1093/gigasc… #ISMBECCB2023

@biothingsapi toolsets for building & integrating biomedical knowledge #API at #bosc2023 #ISMBECCB2023. Visit our posters today and/or join two talks on BioThings SDK and BioThings Explorer (by Jackson Callaghan) tomorrow, day-2 of #bosc2023

@GigaScience author presenting at #ISMBECCB @inutano

At #biohackJP, we took @oxigraph for a spin with a subset of @PDBj_en #RDF nearing half a billion triples. We successfully hosted multiple endpoints on a standard MacBook Pro, reverse-proxied with @caddyserver. Our test environment surpassed the performance of a traditional triple store, even when handling federated #SPARQL queries. Part of this experimental project is documented in our #BioHackrXiv preprint: doi.org/10.37044/osf.i…

Thanks to everybody who made #biohackjp so exceptional and to @biohackathon @tktym for the invitation. Hopefully we meet again this autumn for #BioHackEU23

see you #biohackjp

Anyone working on IDs of public databases? Let me share one of my favorite apps developed by DBCLS, giving me a very smooth ID conversion experience while I'm working on a public dataset work #BioHackJP togoid.dbcls.jp

@tktym is presenting a opening talk: the history of BH, the current situation in biological databases, and the challenges ahead in data science utilizing the existing resources

Expect an intensive hacking week ahead of us. The BioHackathon is back! #biohackjp

This workflow utilises their recently published Yevis workflow registry, and @inutano talks more about this in a recent video youtu.be/Yr7UUw_lqGE

A workflow reproducibility scale for automatic validation of biological interpretation results @inutano et al propose a new metric, a reproducibility scale of workflow execution results, to evaluate the reproducibility of computational results. doi.org/10.1093/gigasc…

Watch Tazro Ohta (@inutano) talk about sharing reusable computational workflows with his new Yevis platform in our youtube channel youtu.be/Yr7UUw_lqGE