Favorite visual databases/interactive things for the biosciences? [or GENERAL useful bioscience websites/githubs/jupyter] Who makes deploying easy?

#1

I found Reactome | Pathway Browser to my liking for instance
https://wiki.illinois.edu/wiki/pages/viewpage.action?pageId=115509329 was SO well designed and planned, but focused on all the wrong enzymes. Still shows what’s possible when you have influence over a group of undergrads.
https://twitter.com/EntosAI/status/1377297574026117120 for chem visualizations
https://twitter.com/wysscoray/status/1283497417023913985

https://resgen.io/viewer/T9NS0PV0TTWgM9WjhZ_ZXA

https://knowledge.brain-map.org/data/1HEYEW7GMUKWIQW37BO/specimens/list?currentProperties=75S21YZHJ1CZ585S202,Z8BZR1LDP9G4I97O394,O267WEUPC2MMK3MI7ZY,DW0F0S320VR4NX0DBPT,75VJLLCLB2ADNQCABJD,4OAW8IKKDOSUF84RZCT,17Q8WESJFABC8QV7O69,Q0LG0S1W23HUAKA2SW3&limit=50&offset=0&sort=4D4RGMXTPBL0YAY5UGJ~DESC,DW0F0S320VR4NX0DBPT~DESC

I decorate all my profile images with kegg pathways

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important databases that I don’t know how to make useful yet: allen brain atlas, http://www.saspatlas.com/, most of jp de magalhaes’s databases

#2

This one is fun for visualizing biological scales: Cell Size and Scale

1 Like
#3

http://www.hprd.org/

THE INDEX of Alex K. Chen aging content
#4

to build computational skills - https://missing.csail.mit.edu/?fbclid=IwAR36oJvZ9ANhbJMVQqr7brR945B_vWtBex_mOqN5Js5EEyI_VR_Iu1w7f6A

#5

https://molstar.org/viewer/?snapshot-url=https%3A%2F%2Fmolstar.org%2Fdemos%2Fstates%2Fnpc.molx&snapshot-url-type=molx

https://3dmol.org/doc/tutorial-embeddable.html

https://twitter.com/david_koes is FULL of it for comp chem

#6

https://www.sinobiological.com/pathways

#7

https://mmegias.webs.uvigo.es/02-english/8-tipos-celulares/endotelial.php

Thoughts on https://www.smart-biology.com?

#8

http://c.elegans.aging.atlas.research.calicolabs.com/?fbclid=IwAR3WPRo5-J2ak223mQEtv_4fDaZ362Ul4iIQS4k0r3Nc7W0kR28bcu6_6oc

#9

https://ngdc.cncb.ac.cn/ewas/browse?traitList=aging

#10

https://twc-stanford.shinyapps.io/aging_plasma_proteome/ (tho actually this is very limited and the corresponding XLS file is much better)

#11

https://www.proteinatlas.org/humanproteome/subcellular/cell+cycle+dependent

https://columbia-picard.shinyapps.io/shinyapp-Lifespan_Study/

#12

https://mmegias.webs.uvigo.es/02-english/8-tipos-celulares/queratinocito.php

Atlas of Plant and Aninal Histology - Cell types. Keratinocyte. Atlas of Plant and Animal Histology

#13

https://www.ks.uiuc.edu/Research/fibronectin/

VISUALLLLLL

#14

Are there longevity hackathon devposts?

The Just-DNA-Seq people…

#15

https://wais-iv-symbol-search-f568d4.netlify.app/
https://github.com/canyone2015/WAIS-IV-Symbol-Search/deployments
https://www.reddit.com/r/dfinity/comments/otaw2e/icp_vs_traditional_web_costs/

JEFworks (Jean Fan) · GitHub [jean fan bioinformatics]

#16

https://console.latch.bio/apps/templates/184/about

https://twitter.com/kenbwork/status/1770481277805723802

Vega Editor [for microbiome stuff]

Brain Knowledge Platform now with human brain!

i know streamlit is really popular and easy enough…

#17

https://www.multidimensionality-of-aging.net/

[scverse has A LOT of people doing bioinfo visualizations, as does jean fan, tho these are massive massive ecosystems]

#18

https://brainome.ucsd.edu/HumanBrainAging/

#19

https://panglaodb.se/search.html?query="foxo3"&species=1&tumor=0&nonadult=1