Pythia Biosciences

Addressing top challenges in multi-omics data analysis with cutting-edge software and services

[Pythia Biosciences @PythiaBio]

📈 Mid-year update: our #Pythiomics database has doubled in size year-over-year! On our way to reach 300M cell profiles by the end of 2026.
Take a quick look at what Pythiomics has to offer: https://t.co/0LMr9MIGZv

[Pythia Biosciences @PythiaBio]

Curious to explore the new @10xGenomics Atera data? C-DIAM makes it easy!
Check out some snapshots of the #Atera FFPE Breast Cancer dataset interactively explored in C-DIAM below.
Want to explore the dataset yourself? Request a trial here: https://t.co/DA4723aMXt

[Pythia Biosciences @PythiaBio]

#AACR26 was a blast! Great meeting you all and sharing how our platform supports robust annotation and instant analysis of the new #Atera data from
@10xGenomics. If you missed the demo, feel free to schedule a discovery call with us here: https://t.co/RfIpLOxV33

[Pythia Biosciences @PythiaBio]

Planning to collect public #scRNAseq data and build a data corpus for target discovery, biomarker exploration or AI/ML development?
Explore our latest infographic for 5 recommended strategies! https://t.co/vBtPMbEzYW

[Pythia Biosciences @PythiaBio]

What better way to kick off a new month than with a database update? We’re excited to share that our curated #scRNA database has now reached more than 143M cell profiles, spanning 318 diseases and 1,740+ datasets — with more to come!
Explore more here: https://t.co/0LMr9MIGZv

[Pythia Biosciences @PythiaBio]

If you're new to #spatial_omics, check out our new blog post where we break down 3 common #misconceptions when analyzing spatial data we have seen - and some of our few tips to optimize your pipeline.
Explore now: https://t.co/tpT9i0lTSJ

[Pythia Biosciences @PythiaBio]

Our work view today: the 900k-cell atlas of HGSOC from Vázquez-García et al. (2022), visualized on our #CDIAM platform. Is it just us, or do single-cell UMAPs always look like beautiful works of art? Curious to see your work view, too!

[Pythia Biosciences @PythiaBio]

Just another exciting new whitepaper — a cross-dataset revisit of cardiac fibroblasts in dilated cardiomyopathy using our #Pythiomics #scRNAseq database. Check it out 👉 https://t.co/YiOplaAQy2

[Pythia Biosciences @PythiaBio]

Join us for our upcoming webinar this Nov 12 🚀 Exciting lineup of keynote speakers and exciting topics covering our Single-cell x AI ecosystem. Find out more details and register here: https://t.co/VhGeVrSC5k

[Pythia Biosciences @PythiaBio]

We can't wait to share with you this exciting news: We're teaming up with TOMY Digital Biology to bring cutting-edge single-cell data analytics of the C-DIAM Multi-omics Studio platform to the vibrant scientific community in Japan! https://t.co/EFYMxJpszf

[Pythia Biosciences @PythiaBio]

Time for some #spatialtranscriptomics analysis! Dive deep into each tissue slide or integrate multiple slides for cross-analysis—all with just a few clicks. Powered by C-DIAM Multi-omics Studio!
Learn more and request access: https://t.co/4et3KRaQgP

[Pythia Biosciences @PythiaBio]

#GenerativeAI is transforming the way we analyze data — but what happens when it meets the complexity and scale of #MultiOmics? Join us for a new webinar of our #OmicsConnect series to discuss this exciting topic! Read more details and register here: https://t.co/Ozqs1v65nI

[Pythia Biosciences @PythiaBio]

We'd like to send a big thankyou to everyone who joined us in our Cell Type Annotation workshop with Dr. Tommy Tang @tangming2005. The recording of the session is now available. If you're interested in watching it, send us a request here: https://t.co/BtpLS8rrJr

[Pythia Biosciences @PythiaBio]

Collaboration in #scRNA data analysis doesn’t have to be challenging. Explore how C-DIAM can help by letting bioinformatics teams upload and share outputs from #Seurat or #Scanpy with bench scientists for interactive viz. Read our blog for more details: https://t.co/1U5y9cp7wm

[Pythia Biosciences @PythiaBio]

Want to take a deep dive into cell annotation? Join us for our upcoming workshop with Dr. Ming Tang @tangming2005, Director of Bioinformatics at AstraZeneca🎉 See the agenda and sign up here: https://t.co/VOB455MBve

[Pythia Biosciences @PythiaBio]

How can AI streamline the curation, processing, and integration of multi-omics data? Join us for this upcoming webinar as we discuss this fascinating topic with Dr. Eugene Bolotin, CEO & Principal Consultant at miraomics.
Sign up now: https://t.co/LBsLufR1VC

[Pythia Biosciences @PythiaBio]

Check out our blog post here for the story and result: https://t.co/52HRfmymn7

[Pythia Biosciences @PythiaBio]

We tested 25 emerging tumor markers for #colorectalcancer across omics! We rounded up some of the most promising tumor markers for CRC and put them to the cross-omics test using our #CDIAM platform. Which tumor markers came out on top? Let’s dive in and find out (link in comment)

[Pythia Biosciences @PythiaBio]

Finding tumor-specific antigens for #ADCs are tricky! But we've got your back. Explore an interesting case study where we supported one of our pharmaceutical customers to pursue ADC therapeutics through state-of-the-art analytics: https://t.co/R6WGcY0rxd

[Pythia Biosciences @PythiaBio]

#AntibodyDrugConjugates. Wondering what they are, how they work, and what makes a good target for ADCs? Check out our latest blog post below to explore the so-called "biological missile" and 5 tips to find an ideal ADC targets 🌟

https://t.co/cdDn494iHg