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Prikvačeni tweet

Big new higlass-python release out last weekend! Create overlay and dataset ratio tracks directly in a #Jupyter notebook. Check out https://docs-python.higlass.io/getting_started.html#combining-tracks … and https://docs-python.higlass.io/getting_started.html#dataset-arithmetic … for examples and more information.pic.twitter.com/UQHOPrm8pf
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higlass.io proslijedio/la je Tweet
Hi
@higlass_io people. I was doing comparative#genomics the other day and was day dreaming: will HiGlass support#genome vs genome alignment matrices and their respective annotation plotting? One genome on the X, another one on the Y and the rearrangements in the central panel?Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
higlass.io proslijedio/la je Tweet
Cool! Programmatically interact with chromatin-contact (ie Hi-C) data using
@higlass_io &@ProjectJupyter.https://twitter.com/higlass_io/status/1222570098105319424 …
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higlass.io proslijedio/la je Tweet
A few releases ago
@flekschas added an interactive viewconf editor to@higlass_io. Today it’s my go-to method for finding the names of track options to use with the#Jupyter version of HiGlass (https://docs.higlass.io/jupyter.html ). Super handy
Thanks Fritz!pic.twitter.com/ppyHLqQp3oHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
It’s a new year and time for a new update! Version 1.8 of HiGlass is out with bug fixes, doc updates and a new "segment" style for bed tracks (http://higlass.io/l/?d=MBiWiOT1SKC4maLcodthew …). Check out the the full list of changes in the release notes (https://github.com/higlass/higlass/blob/v1.8.0/CHANGELOG.md …).pic.twitter.com/JSdwIqbrmW
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higlass.io proslijedio/la je Tweet
HiPiler v1.4 is out
I finally added support for modern Cooler files (>v0.8) thanks to @nv1ctus, custom gene annotations, and updated to@higlass_io v1.7! Also, huge thanks to@liz__is for reporting issues and testing.#4DNucleome#3DGenome#biovishttp://hipiler.higlass.ioHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
higlass.io proslijedio/la je Tweet
Slides for my
#4DNucleome 2019 Annual Meeting presentation about@higlass_io & related visualization efforts: https://www.slideshare.net/ngehlenborg/higlass-friends … Big shoutout to@pkerpedjiev +@flekschas +@nv1ctus for making it happen & the analysts + developers who are using our tools!
#dataviz#biovisHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
higlass.io proslijedio/la je Tweet
Hey
#4DNucleome tweeps, did you know that when you drop a link to a shared@higlass_io view into a tweet you will automagically get a thumbnail preview your view embedded in your tweet? Try it yourself! http://higlass.io/l/?d=Mw-fetUKS_CxlpEKkEHUuQ … H/T@pkerpedjiev@flekschas@nv1ctus#biovis#datavizHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
higlass.io proslijedio/la je Tweet
If you're wondering why you'd need view scrolling if you can use multiple HiGlass instances: it's faster and you're not running into issues with too many WebGL contexts. With some tricks, you can still make it look and feel like individual instances as we do in Peax (see video) https://twitter.com/higlass_io/status/1194343051507859457 …pic.twitter.com/HUvj1dXsFN
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Speaking of updates: we also released higlass-python v0.3 (https://pypi.org/project/higlass-python/ …), which now allows you to synchronize value scales between tracks much more easily. And it already ships with HiGlass v1.7
Changelog: https://github.com/higlass/higlass-python/blob/master/CHANGELOG.md#v030 …https://twitter.com/higlass_io/status/1194343051507859457 …
0:17Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Et voilà: v1.7 is out
This release is primarily for developers using HiGlass in their software. Since v1.6 we've done a lot under the hood and now support scrollable views, which is useful when you have a lot of stacked tracks. Demo: https://flekschas.github.io/higlass-fancy/scrollable.html …pic.twitter.com/zpTTbh1X7iHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
higlass.io proslijedio/la je Tweet
Micro-C data make up some of the deepest datasets in the 4DN data portal. View interactive
@higlass_io displays comparing Micro-C and Hi-C from Krietenstein et al (2019) here: https://data.4dnucleome.org/publications/b13590b2-a341-4e5e-ad5e-72e233b32e9d/#higlass_displays …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
higlass.io proslijedio/la je Tweet
Plus download data and publication quality figures, perform comparative analyses &more! Lots of recent hard work by
@AlexReynolds building upon@higlass_iohttps://twitter.com/EpgntxEinstein/status/1192441770094845953 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
higlass.io proslijedio/la je Tweet
Lots of interactive
@higlass_io figures in this paper on meiotic chromosome assembly in S. cerevisiae:https://www.nature.com/articles/s41467-019-12629-0 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
higlass.io proslijedio/la je Tweet
I enjoyed putting together this review with
@vaquerizasjm! Hopefully it'll be helpful to new (and experienced) Hi-C analysts
Thanks to @Dev_journal,@seemasainson and the reviewers for a smooth review process and super helpful feedback!https://dev.biologists.org/content/146/19/dev177162 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Wooohoo
Awesome work
HiGlass wouldn’t be as cool as it is without cooler. With cooler less bytes have to fly over the cyber space so your precious heatmaps render much faster!https://twitter.com/nv1ctus/status/1161142314242322432 …
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higlass.io proslijedio/la je Tweet
I am super excited to share our forthcoming
@ieeevis InfoVis paper on Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets
Great work w/ @michaelbehrisch@pkerpedjiev@benjbach@ngehlenborg@hpfister@HarvardVCG https://vcg.seas.harvard.edu/pubs/scalable-insets … 1/6pic.twitter.com/6CbEp9uxpw
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higlass.io proslijedio/la je Tweet
More progress with fragment shading. Bioinformaticians can probably guess where this is heading.pic.twitter.com/xCBjmHVB0q
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higlass.io proslijedio/la je Tweet
Exiting new genomic
#dataviz work by@flekschas,@nv1ctus, and@pkerpedjiev in the latest release of@higlass_io. If you want to join this rad team, please check out the new postdoc opportunities in my lab: http://gehlenborglab.org/team/open-positions/ …#imaging expertise wanted!#biovis#ismbeccbhttps://twitter.com/higlass_io/status/1153294019620982784 …
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Finally, v1.6 comes with the new v5 of
@PixiJS (awesome job guys
) and many other smaller improvements and bug fixes. For a detailed list of changes take a look at https://github.com/higlass/higlass/blob/develop/CHANGELOG.md#v160 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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We have yet another big update for you: