shristi

bioinformatics scientist

[shristi @shr9st9]

Very grateful to be part of this great collaboration to understand aging in beta cells. Congrats to all authors.

[CDS @vandydata]

Congrats @shr9st9 and @deltacells for the amazing collaboration! We've very excited to see this in the wild -- https://t.co/RQE8DaeZam #pancreas #data #bioinformatics #aging

[shristi @shr9st9]

Nucleosomes move and slide during aging. Possibly restore regulators of nucleosomes positioning in aging. Very interesting talk by Jason Buenrostro. #singlecellgenomicsday

[CDS @vandydata]

Pleasure to have worked with @ArrojoeDrigoLab on this. I still think the beta cell cluster should have been colored in red (❤). Thanks to @MattACottam1 and @shr9st9 for their hard work on this project.

[CDS @vandydata]

Please check out our summer 2023 newsletter at https://t.co/XSzBBMDM1n. If you aren't subscribed to our email list, you can do so via https://t.co/XCEpqCX2sC. Stay cool!

[CDS @vandydata]

Happy to have helped Sheila Collins' group at @VUMCResearch, with bulk RNA-Seq analysis. Now in print 👇

[CDS @vandydata]

Single cell RNAseq dataset of ~45K cells profiled from human pancreatic islets (5 healthy donors) published by @shr9st9 and colleagues in JCI Insight (2021) now available as seurat object at https://t.co/TBpLJ7vNTh! #OpenScience #pancreas #bioinformatics

[Tiffany Walther, Ph.D. @TiffanyMRich]

Check out my 1st author #ArticleInPress from
@AJPEndoMetab @APSPhysiology! https://t.co/AjPp8d4ZCz

Thanks to our co-authors, collaborators, and the human donors themselves for making this work possible. #AJPEndoMetab #type1diabetes #diabetes #nervefibers #bloodvessels #islets

[shristi @shr9st9]

@vandydata @powersac_TN Congratulations to all authors https://t.co/bWH6jX93kO

[CDS @vandydata]

📢 CDS' winter newsletter is out! https://t.co/lHNPY3I3r3

[CDS @vandydata]

Forgot to mention the addition of the SCENIC service, https://t.co/MSwtiNe9rl. From single cell gene expression data, cis-regulatory analysis can be exploited to guide the identification of transcription factors and cell states, like shown here (https://t.co/CyP5GpWClk):

[CDS @vandydata]

Updates posted to CDS' website - https://t.co/HH0GsqqpNH - new paper added, CUT&RUN service added, added accordion UI to FAQ, added new FAQ entries, & other trivial improvements.

[CDS @vandydata]

Busy week! @MattACottam1 joined CDS this week 😸 and is already deep in the weeds, another collab paper (@VGamaLab) was published, and now the CDS website has been refreshed to capture this progress. Check it out at https://t.co/HH0GsqqpNH. Of note is our most important metric 👇

[shristi @shr9st9]

@chandra_mhrjn @Cancers_MDPI Congratulations!

[CDS @vandydata]

CDS is recruiting! Please check out our work via https://t.co/QdwwakiZWF and if interested, please apply via https://t.co/zgbyIga7kv

[shristi @shr9st9]

Explore this gene expression data in the shiny app here https://t.co/XByhEBTofL

[shristi @shr9st9]

Happy to share this work from Powers Brissova research group. Feel grateful to all co-authors and colleagues. "Combinatorial transcription factor profiles predict mature and functional human islet α and β cells" https://t.co/UFe90fwwAh

[CDS @vandydata]

Turn on your 🧠 and check out these great "primers" on popular methods we read about all the time, but may not always understand fully. Great way to get the basics without falling in too deep! https://t.co/YGqrv7xHqG #data #sciencefactsamazing #Bioinformatics

[CDS @vandydata]

Updates to our website now live at https://t.co/KJgNpBLNfC, including new papers we've been contributed to! New services coming soon...

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

The triumphs and limitations of computational methods for scRNA-seq | Nature Methods https://t.co/h9ciOURzYW

[shristi @shr9st9]

@barunlz Congratulations!