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PipeBio (now Benchling) Profile
PipeBio (now Benchling)

@pipe_bio

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103

Building cloud-based bioinformatics software for antibody discovery and engineering. Now a part of @Benchling.

Aarhus, Denmark
Joined October 2019
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@pipe_bio
PipeBio (now Benchling)
10 months
🎉 We’re excited to announce that @benchling has acquired PipeBio!. Together with Benchling, we’ll continue delivering innovation in bioinformatics for biologics discovery and more — on an open digital platform that’s connected to the rest of your R&D.
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@pipe_bio
PipeBio (now Benchling)
9 months
RT @benchling: It’s Times Square official! This week, we announced our acquisition of @pipe_bio. 🙌. Together, we will offer a complete soft….
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@pipe_bio
PipeBio (now Benchling)
1 year
In collaboration with @Bruker Cellular Analysis, we have analyzed data from a study to detect antigen-specific and cross-reactive antibodies against vascular endothelial growth factor receptor (VEGFR) antigens in an immunized mouse. Read more here👇 .
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pipebio.com
Combining single cell heavy and light chain NGS sequences with functional assays to accelerate decision making toward promising leads
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@pipe_bio
PipeBio (now Benchling)
2 years
Understanding vaccine responses and designing effective vaccines relies on high-resolution immune profiling and antibody repertoire analysis using NGS. Check out the link below to learn more!🔬🧫🧬 . #antibody #vaccines #bioinformatics.
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pipebio.com
An overview of next generation techniques for vaccine development, from immune monitoring to in-depth profiling of adaptive immune repertoires
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@pipe_bio
PipeBio (now Benchling)
2 years
In case you missed it! We saw a total of 16 global first approvals and 10 FDA/EMA first approvals of therapeutic antibodies in 2023 (slightly fewer than in 2022). See full infographic here:.
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@pipe_bio
PipeBio (now Benchling)
2 years
What is antibody developability, how is it quantified and how can it be predicted?‍🔬🤖. Read more about silico predictors leveraging machine learning to make the discovery process faster and leaner:. #antibody #ML #drugdiscovery.
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@pipe_bio
PipeBio (now Benchling)
2 years
How can you use public antibody data to accelerate antibody discovery and engineering?. Read more about data mining in antibody development here👇 . #antibody #data #engineering.
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pipebio.com
How combining public and proprietary data can help accelerate antibody discovery and development
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@pipe_bio
PipeBio (now Benchling)
2 years
Native pairing of antibody heavy-light chains is important for retaining functional antibodies, a challenge with short-read NGS. Read more on our blog on techniques and protocols used for retaining native pairing using NGS👇. #ngs #antibody #drugdiscovery.
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pipebio.com
Techniques for retaining native pairing of antibody heavy (VH) and light (VL) chains with NGS sequencing
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@pipe_bio
PipeBio (now Benchling)
2 years
Sanger sequencing. Still widely used today, we can be thankful for Frederick Sanger's (1970s!) contribution and what it has enabled over the years. In case you have Sanger sequences to analyze. 👇 . Happy Thanksgiving everyone! 🦃 . #Sanger #antibody.
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@pipe_bio
PipeBio (now Benchling)
2 years
Next stop on the trail is Lisbon as we're running into PEGS Europe in little over a week!. Looking forward to some great talks (and good runs👟) over there!. #PEGSEurope #Antibody #Athletes
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@pipe_bio
PipeBio (now Benchling)
2 years
Wishing everyone a very spooky Halloween!🎃👻. #science #halloweencostumes #halloween
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@pipe_bio
PipeBio (now Benchling)
2 years
How can you use UMIs to mitigate errors in Antibody / TCR sequencing?. Read more on correcting errors and biases that arise from PCR amplification and sequencing to differentiate "real" clones and true biological diversity. #UMIs #Immunology #NGS.
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@pipe_bio
PipeBio (now Benchling)
2 years
Rational design and in silico tools together with in vitro validation are some of the hallmark techniques used to select developable antibodies with optimized properties for specific therapeutic targets 👇 . #antibodydiscovery #drugdiscovery.
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pipebio.com
From in vivo and in vitro to in silico design of antibody libraries for optimal developability and biophysical properties
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@pipe_bio
PipeBio (now Benchling)
2 years
What do these images have in common?. PipeBio – and the passion for science that unites our team!👩‍🔬🔬. Our distinct backgrounds ranging from wet labs to computer engineering make us a strong team and empowers us to find solutions for our customers, fast.
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pipebio.com
The PipeBio team comes from a variety of different backgrounds, the passion for science uniting everyone
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@pipe_bio
PipeBio (now Benchling)
2 years
Early detection of liabilities for developability such as aggregation is quintessential in antibody discovery. See our blog for an overview of a range of tools for antibody aggregation prediction🖥️‍🔬. #antibody #drugdiscovery.
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pipebio.com
In this article we review computational methods for antibody structure and aggregation prediction and show example applications on PipeBio
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@pipe_bio
PipeBio (now Benchling)
2 years
Circling back to the origins of our logo, we (finally!) got around to implementing the Circos plot ⭕. Great for interactive visualization of larger repertoires, heavy/light or alpha/beta pairings, gene usage and more🙂. #antibody #visualization #Circos
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@pipe_bio
PipeBio (now Benchling)
2 years
When you can do something, why wouldn't you?🤷 . We at least like trying out ALL possible features 😉 . #antibody #phylogeny #drugdiscovery
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@pipe_bio
PipeBio (now Benchling)
2 years
Here's a short weekend read on some of the most common cloning techniques used in antibody discovery and engineering🦠👇. #antibody #cloning #drugdevelopment.
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@pipe_bio
PipeBio (now Benchling)
2 years
The most prominent in vitro display technologies in #antibody discovery and engineering arguably include phage display, yeast display, mammalian display, bacterial display and ribosome display🔬. Here's a short read on our blog: #biologics #drugdiscovery.
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@pipe_bio
PipeBio (now Benchling)
2 years
An overview of one of the hallmark in vitro selection technologies used for antibody discovery: Phage Display👇 . (adapted from Ledsgaard et al. 2022, full ref. see bottom of graphic). #phage #biologics #drugdiscovery #antibody #antibodydiscovery #drugdevelopment #antibodies
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