🚨 New Publication 🚨
Check out this paper from @mskcancercenter.bsky.social, where BugSeq empowers the center's infection control team to launch an active C. auris surveillance program. WGS informs infection control interventions → doi.org/10.1016/j.jm...
#InfectionPrevention #Cauris

Meet BugSeq at #IDWeek2025 - Booth 1329!
See how our bioinformatics platform empowers clinical microbiology labs and drives clinically validated assays with customizable reporting thresholds.

Ever wonder how BugSeq is used to identify bacteria, characterize #AMR and track outbreaks in hospitals and the community? Tune in on Sep 29 to hear from Wes Hottel, Bioinformatics Scientist, State Hygienic Laboratory, The University of Iowa: event.on24.com/wcc/r/506648...

Register for our upcoming webinar on September 29: event.on24.com/wcc/r/506648...

C. difficile is the most frequent cause of infectious diarrhea in hospitals and long-term care facilities. Locher et al. used BugSeq to evaluate transmission within @vchhealthcare.bsky.social (doi.org/10.1016/j.mi...). Want to learn more?

Amaral et al. found a discordance between BIOFIRE BCID2 and #AMR phenotype. Read how BugSeq’s curated database enabled frameshift detection in a CTX-M and accurate phenotype prediction: doi.org/10.1016/j.di...

🚨 Headed to #ADLM2025? Come say hi to the BugSeq team at Booth 1064!

We’re showcasing the future of infectious disease assays with rapid, accurate, and interpretable genomic solutions.

Let’s talk metagenomics, AMR, and more 🧬👩‍🔬

#ADLM2025 #microbiology #genomics #AMR @myadlm.bsky.social

New blog post: Enabling Phenotypic AMR Prediction from NGS Data

We explore the strengths and pitfalls of current methods—and why BugSeq’s approach, combining expert-augmented ML with a curated database, delivers more accurate, interpretable phenotypic predictions from NGS data.

The first half of 2025 marked a significant leap forward for the BugSeq Bioinformatics platform, delivering powerful new capabilities to tackle the most pressing challenges in infectious disease. Read some of our highlights in our recent blog post: docs.bugseq.com/blog/2025/06...

Attending #ASMicrobe this weekend? Visit the BugSeq booth (#911) to learn more about BugSeq’s comprehensive bioinformatics platform for applied microbiology and infectious disease applications!

BugSeq strengthens our partnership with ONT at #nanoporeconf: we are delighted to work with @nanoporetech.com towards achieving end-to-end infectious disease solutions with integration across technology stacks.

At #APHL? Drop by booth 500 to see how public health labs are using BugSeq to visualize and manage complex data from outbreaks before they spread. In addition - wastewater, viral surveillance, and pathogen detection - we got it all!
@aphl.org

The medical microbiology laboratory at @vchhealthcare.bsky.social used #BugSeq to predict and understand the mechanism of resistance to this last-line antibiotic in extremely drug resistant (#XDR) bacteria 👇

At #AMMICACMID2025? We are at booth #30 showing how labs are using BugSeq’s AI-powered bioinformatics to support sequencing isolates for #AMR prediction and epidemiologic surveillance, as well as 16S/ITS sequencing for identification of pathogens from culture-negative samples.

Missed Dr. Trish Simner’s (@mayoclinic.org) #ESCMIDGlobal 2025 presentation on using WGS for #AMR prediction? We spotted some data from the BugSeq team on the additive value of our database curation and machine learning which drives BugSeq’s mechanistic and interpretable AMR prediction service.

At #ESCMIDGlobal? Come see how BugSeq has helped clinical labs implement successful infection prevention programs based on NGS, as well as integration of BugSeq within NGS-based diagnostic assays. Make sure to pick up some goodies as well at booth D98 👜📓🖊️🎉

At @aphl.org #IDLabCon? Come check out how BugSeq is helping states analyze, track and mitigate outbreaks within and across states. And of course - don’t forget to grab some swag!
#PublicHealth #WholeGenomeSequencing #WGS

Discover how microbiology labs are tracking and mitigating outbreaks faster using BugSeq's data-driven platform: docs.bugseq.com/blog/2025/02...