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higlass.io
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higlass.io
@higlass_io
Big data viewer extraordinaire!
Boston, MA Katılım Ocak 2019
16 Takip Edilen329 Takipçiler
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Happy to collaborated with @suragnair from @anshulkundaje lab! The dynseq browser track paper is online at @NatureGenet today! dynseq track is also integrated to @higlass_io and @GenomeBrowser. @twang5 nature.com/articles/s4158…
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An overview of #goslinglang and our current integrations in Python and R. Thanks for the highlight, @j_perkel!
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We created somatic mutation rate maps for 37 different types of cancer. These maps can be interactively browsed thanks @pkerpedjiev and the power of @higlass_io. Take a look! resgen.io/maxsh/Cancer_M…
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Check out our new video on how to use the 4DN Visualization Workspace, powered by @higlass_io youtube.com/watch?v=LEDaOa… Then try it yourself at data.4dnucleome.org/tools/visualiz… @4DNucleome

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I have a video up! Watch for an introduction to using the @higlass_io viewer integrated into the 4DN data portal! youtu.be/LEDaOa3NZtM @4dn_dcic #4dnucleome

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The number of higlass plugin tracks is growing! To make it easier to use them all, we created higlass-plugins which aggregates some of the more commonly used plugins into one convenient package. Take a look at github.com/higlass/higlas… for more information.

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🎉 Happy to hear that our #gosling project on grammar-based interactive genomics visualization won Best Abstract Award w/ @WangQianwenToo @flekschas and @ngehlenborg from #biovis #ismbeccb2021. Find out more on gosling.js.org (demo) and gosling-lang.org (docs)
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@Phlya @higlass_io @pkerpedjiev HiGlass is awesome. Data exploration is so much easier, including comparing matrices. Getting used to aggregating/ingesting other data types, there will be good figures out of it.
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CoolBox, a pyGenomeTracks-based Hi-C data visualization in Jupyter and command line, is published! Works with .hic and .m/cool input, plus .bed, .pairs etc. Documentation and examples illustrate the power. Have been following it, very interesting project. github.com/GangCaoLab/Coo…

bioRxiv Bioinfo@biorxiv_bioinfo
CoolBox: A flexible toolkit for visual analysis of genomics data biorxiv.org/cgi/content/sh… #biorxiv_bioinfo
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@Patucoman Apologies for the hiccup. We restarted the server. Should be working again
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Some sweet new updates to the higlass-pileup track by Alexander Veit of the @4dn_dcic! Most notably there’s now an option to display a coverage plot and you can use custom color schemes. See live demo with @GenomeInABottle HG002 data here: higlass.io/l/?d=YMWfYEUYR…
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📣 Small but super important release (v1.11) out last weekend! Thanks to @keller__mark, you can now create custom data fetchers. This serverless example uses #zarr to fetch data for multivec and bar tracks. Pretty amazing! cc @nvictus @trevmanz @alimanfoo
higlass.github.io/higlass-zarr-d…

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