Bridge Informatics

Earlier this week, we shared the first of two posters we've been selected to present at #BioITWorld2025, From Single Cells to Systems: Network Maps for Cluster Identification in Single-Cell Data. Our second poster, Raw Reads to Results: Building Next-Generation Bioinformatics Pipelines, presents a scalable and reproducible approach to variant detection in whole-genome and whole-exome sequencing data. By integrating workflow automation, containerization, and cloud-based scalability, this pipeline enables efficient, high-throughput analysis while ensuring accessibility for researchers with varying levels of bioinformatics expertise. In collaboration with Akero Therapeutics, our poster explains how this framework enhances precision medicine, population genomics, and data-driven discovery. We look forward to sharing our findings at Bio-IT World next week! If you'll be there, be sure to visit our posters and stop by our booth (#20!) to learn more. #Bioinformatics #Immunotherapy #SingleCellAnalysis #Innovation #PosterPresentation

ICYMI: Are the traditional single-cell analysis methods you default to slowing you down? Reference mapping tools are changing the game—automating cell type identification and enabling faster, more accurate insights. ?? Learn how automated reference mapping can improve accuracy, speed, and scalability in drug discovery in our blog, here: https://lnkd.in/ega43m49 #Bioinformatics #DrugDiscovery #SingleCellAnalysis #MachineLearning #PharmaTech #PrecisionMedicine #DataScience #Azimuth #MapMyCells #Seurat #Symphony #scArches

We are thrilled to announce that we've been selected to present two posters at #BioITWorld2025! Our first poster showcases how advanced bioinformatics approaches can uncover public T-cell receptors from single-cell datasets—an exciting step toward developing universal immunotherapies. We're incredibly grateful to our collaborators at Marengo Therapeutics for their partnership on this project. It's an honor to work alongside such a talented, innovative team. Planning to be at Bio-IT World next week? Be sure to stop by our booth (#20!) and visit us in the poster presentation area! #Bioinformatics #Immunotherapy #SingleCellAnalysis #Innovation #PosterPresentation

General Expression Transformer (GET) is a new AI model that is making significant advancements in predicting gene expression across different human cell types. GET addresses key limitations of traditional computational models, offering high accuracy even in cell types not previously studied. In our latest article, we explore the core features of GET, including its transformer-based architecture, how it integrates chromatin accessibility data with DNA sequence information, and its ability to predict gene expression with remarkable precision. GET’s ability to identify transcription factors and regulatory networks offers valuable insights into gene regulation that could influence drug discovery and the development of personalized medicine. Read the full article here: https://lnkd.in/eyBkVNbd #AI #GeneRegulation #GenomicsResearch #Bioinformatics #PharmaceuticalResearch #PrecisionMedicine

Good evening everyone! Last night we had a great time at the Beer n Biotech meetup, sponsored by LabCentral. Huge thanks to Isaac Stoner for always putting together such a fantastic event. Thanks Isaac for pulling together, so many good natured and smart people. A fun topic of conversation: where AI is actually making an impact in drug discovery. Some think it’s great with biologics, optimizing medicinal chemistry, and uncovering hidden patterns in complex datasets. But maybe when it comes to useful target discovery, there’s way to go. Curious to know what you guys think. Will AI is make a difference? If so which one will have the biggest impact?….ML, LLM’s, maybe models that predict protein structure and activity? My personal vote is on LLMs. Thanks Maciej, Jenny, Sasha, Shelly, Benjamin, and Terry for the great company and conversation!

ICYMI: Which is best for life science data: on-premise or cloud storage? We explored the advantages and challenges of both in our blog. Give it a read to learn why we often recommend a hybrid approach as the best option for many of our life science clients: https://lnkd.in/eMhgKJ8Y #LifeSciences #DataStorage #Biotech #Pharma #Genomics #DataManagement

Happy St. Patrick’s Day everyone! ?? New blog up today - taking a shallow dive into deep learning for TCR analysis. If you're curious about how DNNs are making sense of immune data, this one’s for you. #Bioinformatics #DNN #DeepNeuralNetworks #TCR

Deep neural networks (DNNs) are increasingly used in immunology research, but how do they actually work? In our latest article, we provide a clear, structured introduction to DNNs for analyzing T-cell receptor (TCR) sequences—ideal for biologists, bioinformaticians, and computational researchers looking to apply AI in their work. Visit https://lnkd.in/egHGqYmP to read the full article and learn: ? How DNNs process biological sequences using numerical encoding ? The key components of a neural network—input layers, hidden layers, and activation functions ? How loss functions and backpropagation refine model accuracy for TCR classification #Bioinformatics #ComputationalBiology #DeepLearning #MachineLearning #Genomics #Immunology #TCR #AIinScience #LifeSciences #DataScience

ICYMI: The last article of our “Innovations in Transcriptomics” series explored how spatially resolved transcriptomics enhance our understanding of molecular and cellular changes across tissues. Read about the study that integrates MERFISH and snRNA-seq to examine aging-related changes with spatial resolution, mapping cellular and regional changes with precision: https://lnkd.in/e4EAXY6C Check out the other two articles: ?? CAST: Redefining Spatial Omics Integration at Single-Cell Resolution: https://lnkd.in/ejT7ciSq ?? Unlocking Transcriptional Dynamics: scGRO-seq’s Role in Understanding Gene Regulation: https://lnkd.in/eDGtvpVN #SpatialTranscriptomics #SingleCellRNAseq #MERFISH #Bioinformatics #GeneExpression #AgingBrain #SpatialOmics #snRNAseq #GeneRegulation #SingleCellAnalysis #InnovativeScience #Omics #TranscriptionResearch #scGROseq #Bioinformatics #HealthAndDisease #SpatialOmics #CAST #DataIntegration #BioTech #ResearchInnovation #LifeScience

Pharma and biotech companies face unique challenges when sourcing bioinformatics talent. Startups and small biotechs need specialized expertise without the commitment of full-time hires, while larger corporations prioritize scalability and reducing administrative overhead. Selecting the right bioinformatics staff augmentation partner can help life science companies efficiently access top-tier talent while maintaining flexibility. From technical expertise to seamless integration with internal teams, finding the right fit is crucial. Check out our latest blog post to explore the key factors to consider: https://lnkd.in/e7gwiRbc #Bioinformatics #StaffAugmentation #StaffAug #Pharma #Biotech #ComputationalBiology #LifeSciences #BSP