Platforma.bio
But too many teams are still slowed down by fragmented tools, custom scripts, and bioinformatics bottlenecks.
That’s why we're hosting a virtual masterclass on how leading pharma and biotech teams are accelerating lead selection.
Sign up here: bit.ly/4ajVyVS
But too many teams are still slowed down by fragmented tools, custom scripts, and bioinformatics bottlenecks.
That’s why we're hosting a virtual masterclass on how leading pharma and biotech teams are accelerating lead selection.
Sign up here: bit.ly/4ajVyVS
We compared the current leaders based on five key criteria:
- End-to-end workflow coverage
- Scientist-first usability
- Functionality and visualizations
- Computational throughput
- Data control + flexibility
bit.ly/3LSJFhP
We compared the current leaders based on five key criteria:
- End-to-end workflow coverage
- Scientist-first usability
- Functionality and visualizations
- Computational throughput
- Data control + flexibility
bit.ly/3LSJFhP
Labs don’t need 10,000 novel sequences we can’t make. We need AI to flag those that won't survive
The real ROI? Kill bad clones in silico
Saving weeks of failed experiments > hallucinating a “perfect” binder that crashes
Labs don’t need 10,000 novel sequences we can’t make. We need AI to flag those that won't survive
The real ROI? Kill bad clones in silico
Saving weeks of failed experiments > hallucinating a “perfect” binder that crashes
Our app note shows how Platforma enables deep repertoire sequencing, functional clustering, and diversity-first selection to cut redundancy and risk.
Our app note shows how Platforma enables deep repertoire sequencing, functional clustering, and diversity-first selection to cut redundancy and risk.
We're partnering with @miltenyibiotec.bsky.social to feature their new next-generation bulk RNA library preparation solution for TCR α/β profiling with advanced analysis and visualization in Platforma.
Register here: bit.ly/4jFH3Qv
Feb 5th @ 5 PM CET
We're partnering with @miltenyibiotec.bsky.social to feature their new next-generation bulk RNA library preparation solution for TCR α/β profiling with advanced analysis and visualization in Platforma.
Register here: bit.ly/4jFH3Qv
Feb 5th @ 5 PM CET
From 3.5M TCR/BCR samples on MiXCR, key trends emerge:
• Bulk amplicon remains the workhorse
• Single-cell is growing fastest (>50% YoY)
• Academia customizes; industry standardizes
Full article:
bit.ly/4suV1ZG
From 3.5M TCR/BCR samples on MiXCR, key trends emerge:
• Bulk amplicon remains the workhorse
• Single-cell is growing fastest (>50% YoY)
• Academia customizes; industry standardizes
Full article:
bit.ly/4suV1ZG
In 2025, together we:
• Processed 1.5 PB of data (+50% YoY)
• Welcomed 2,400 new users across 375 institutions
• Were cited in 741 publications
• Shipped 30 new biological blocks
On to an even bigger 2026 🚀
In 2025, together we:
• Processed 1.5 PB of data (+50% YoY)
• Welcomed 2,400 new users across 375 institutions
• Were cited in 741 publications
• Shipped 30 new biological blocks
On to an even bigger 2026 🚀
A new low-intervention study found:
— High-TIL areas had both CD4+ and CD8+ T cells
— Low-TIL areas skewed to CD4+ T cells with fewer cytotoxic markers
— CD4+ T cells had less diverse TCRs
MiXCR identified TILs with the highest therapeutic potential.
A new low-intervention study found:
— High-TIL areas had both CD4+ and CD8+ T cells
— Low-TIL areas skewed to CD4+ T cells with fewer cytotoxic markers
— CD4+ T cells had less diverse TCRs
MiXCR identified TILs with the highest therapeutic potential.
In Platforma’s antibody space, overlaying immune assay targets with clonotypes makes enriched, functionally validated clones pop instantly, letting teams spot high-value hits faster.
In Platforma’s antibody space, overlaying immune assay targets with clonotypes makes enriched, functionally validated clones pop instantly, letting teams spot high-value hits faster.
Couldn't make it to our webinar? Watch the recording on-demand:
www.youtube.com/watch?v=hhsL...
Couldn't make it to our webinar? Watch the recording on-demand:
www.youtube.com/watch?v=hhsL...
Unlike the common “Top N” approach, which can bias selection toward a single dominant family, we use a Diversity-First algorithm to pick the top representative from each family to ensure diversity.
Unlike the common “Top N” approach, which can bias selection toward a single dominant family, we use a Diversity-First algorithm to pick the top representative from each family to ensure diversity.
Learn how to:
• Uncover emergent clones & immune responses
• Track enrichment and liabilities
• Predict structure & affinity from sequence
• Find top leads without coding
Sign up here: t.co/3Ye6fj1EAA
Learn how to:
• Uncover emergent clones & immune responses
• Track enrichment and liabilities
• Predict structure & affinity from sequence
• Find top leads without coding
Sign up here: t.co/3Ye6fj1EAA
Joining forces with over 40 members of the Harvard network, our team helped spark collaboration and share knowledge, empowering biologists to run their own downstream analyses themselves.
Thank you for hosting us!
Joining forces with over 40 members of the Harvard network, our team helped spark collaboration and share knowledge, empowering biologists to run their own downstream analyses themselves.
Thank you for hosting us!
Join our webinar next week.
bit.ly/4oY9s69
Join our webinar next week.
bit.ly/4oY9s69
1. How to combine NGS with functional assay data to reveal truly high-potential clones
2. Not all lead candidates are therapeutic candidates
3. Prioritize developability from the start. Spot sequence liabilities early to derisk your pipeline.
1. How to combine NGS with functional assay data to reveal truly high-potential clones
2. Not all lead candidates are therapeutic candidates
3. Prioritize developability from the start. Spot sequence liabilities early to derisk your pipeline.
Learn more here: platforma.bio/antibody-dis...
#antibody #antibodydiscovery #antibodyengineering
Learn more here: platforma.bio/antibody-dis...
#antibody #antibodydiscovery #antibodyengineering
Cmai predicts antigen–BCR binding from standard RNA-seq with >0.90 AUROC—unlocking biomarker discovery, treatment response prediction, and even forecasting immune-related toxicities up to 120 days before onset.
Cmai predicts antigen–BCR binding from standard RNA-seq with >0.90 AUROC—unlocking biomarker discovery, treatment response prediction, and even forecasting immune-related toxicities up to 120 days before onset.
40 researchers, one clear takeaway: Platforma bridges the gap.
Biologists can analyze data without waiting
Core facilities empower users beyond count matrices
Bioinformaticians can focus on innovation
Platforma doesn't replace expertise, it unlocks it.
40 researchers, one clear takeaway: Platforma bridges the gap.
Biologists can analyze data without waiting
Core facilities empower users beyond count matrices
Bioinformaticians can focus on innovation
Platforma doesn't replace expertise, it unlocks it.
Join our webinar to learn how to prioritize lead candidates faster.
You’ll discover how to track enrichment and liabilities, monitor clone dynamics over time, and predict developability to minimize risk
Register here: bit.ly/4p8157W
Join our webinar to learn how to prioritize lead candidates faster.
You’ll discover how to track enrichment and liabilities, monitor clone dynamics over time, and predict developability to minimize risk
Register here: bit.ly/4p8157W
Our hands-on workshop on how to accelerate no-code NGS data analysis with Platforma was a blast.
A big thank you to everyone who joined us—we loved seeing your curiosity and creativity in action!
🚗 Next stops - USC and UCSD!
Our hands-on workshop on how to accelerate no-code NGS data analysis with Platforma was a blast.
A big thank you to everyone who joined us—we loved seeing your curiosity and creativity in action!
🚗 Next stops - USC and UCSD!
A recent Nature study found that RNA-seq achieved higher sensitivity and stronger prognostic value than DNA-seq for MRD.
We're proud that MiXCR was the key tool in this study.
Read more here: x.com/MiLaboratori...
A recent Nature study found that RNA-seq achieved higher sensitivity and stronger prognostic value than DNA-seq for MRD.
We're proud that MiXCR was the key tool in this study.
Read more here: x.com/MiLaboratori...
Thanks to everyone who stopped by!
Thanks to everyone who stopped by!
Proud that MiXCR powered large-scale TCR sequencing across tumor, blood, and cfDNA.
#cfDNA #TCRseq #TCR
Choose your own scientific adventure:
🔹 Antibody Discovery
🔹 Differential Gene Expression
🔹 Single Cell Multiomics
🔹 TCR/BCR Repertoire Analysis
👉 Dive into the demo here: shorturl.at/7tkD4
#NGS #Multiomics #TCR #BCR
Choose your own scientific adventure:
🔹 Antibody Discovery
🔹 Differential Gene Expression
🔹 Single Cell Multiomics
🔹 TCR/BCR Repertoire Analysis
👉 Dive into the demo here: shorturl.at/7tkD4
#NGS #Multiomics #TCR #BCR
Who you are: Degree in Biology/Bioinformatics (or similar), strong English, 0–2 years’ experience
lnkd.in/dxMXRT84
Who you are: Degree in Biology/Bioinformatics (or similar), strong English, 0–2 years’ experience
lnkd.in/dxMXRT84