Fios Genomics’ Post

In this study, we implemented a transcriptome analysis to identify signaling pathways and biomarkers in monkeypox-infected cells to help understand monkeypox-host cell interactions…… Enjoy the power of bioinformatics https://lnkd.in/eHa37RZG

For today's #methodologymonday, I want to speak about spatial -omics. These techniques give you a picture of the genetic or protein makeup of a tissue in a full spatial context. This is a very full space and I apologize in advance it I don't mention your favorite company. Entrants include: NanoString Technologies, Inc., 10x Genomics, Vizgen, Bruker, BioSkryb Genomics, Singular Genomics and many more. Imagine taking RNA or protein from a bunch of cells across a tissue. When you extract the RNA, you attach a tag with GPS coordinates of the cell's location to each molecule. After you sequence the RNA, you can use the GPS coordinates to tie the molecule back to its source. This analysis gives you a picture of how RNA or protein vary across the tissue, This would be very important in a tumor where your want to understand the various cell types mixed within the tumor. Generally you analyze either RNA or protein spatially since the DNA soesn't vary that much between adjacent cells. Some of the products analyze the RNA or protein by using an external sequencer such as those from Illumina, but many perform direct sequencing using florescent tags. Currently, spatial sequencing is only used for research, but there are many clinical trials underway to find ways that is can impact clinical practice. As an example, I highlighted work presented at AACR: https://lnkd.in/evN853vC #methodologymonday #spatialsequencing #spatialtranscriptomics

"Excited to present our latest research paper titled 'Analysis of Differentially Expressed Mycobacterium Fortuitum Proteins for Biomarkers Using Support Vector Machine,' accepted at ICIIP and published in IEEE. Delving deep into bioinformatics, this study explores new avenues for biomarker discovery. #Bioinformatics #ICIIP #IEEE #ResearchPaper #Biomarkers"

The goal of pharmacogenomics is to improve patient outcomes by tailoring drug therapies to an individual’s genetic makeup🧬💊. Bioinformatics supports this vital research in various ways, find out what they are in our latest blog! ⬇️View the blog via the link in our comment below ⬇️

🔬🧬 Exciting Updates in Nanopore Sequencing! 🔍🚀 Thrilled to share that I've been diving deep into the world of nanopore sequencing lately, and the journey has been nothing short of fascinating! 🌟 From mastering the intricacies of the technology to uncovering novel insights, every step has been a learning adventure. Through nanopore sequencing, I've had the privilege to explore the genetic landscape with unprecedented detail, unveiling exciting findings along the way. 🧬✨ The ability to directly read nucleotide sequences in real-time has empowered my research with efficiency and precision, leading to results that are not just promising but truly groundbreaking. I'm thrilled to announce that our latest findings are not only enriching our understanding of the biological world but also hold promise for publication in renowned journals. 📝🔬 Stay tuned for more updates on our journey as we navigate through the realms of nanopore sequencing and continue to push the boundaries of scientific exploration. 🌐💡 #NanoporeSequencing #Genomics #Research #ScientificDiscovery #RealWorldApplications #ExcitingResults #PublicationPotential

This January, researchers and industry leaders will convene for Cambridge Healthtech Institute's Models for de novo Design conference, January 14-15 in San Diego https://lnkd.in/e7NychW3. De novo protein structure prediction methods endeavor to predict tertiary structures from sequences based on general principles around protein folding dynamics and conformational features. This unique event will feature progress in this emerging area, advancing computational models for antibody and mini-protein design, automated model generation, binding prediction and interaction models. Additionally, attendees will receive project updates on de novo designs in the clinic. In attending the forum, you will gain an understanding of the following: • Advances in in silico Antibody Structure and Dynamics Prediction • Benchmarking Studies to Validate AI Models • Deep Learning for Protein Therapeutics Optimization • Cutting-Edge Tools and Approaches for Protein Design • Integrating Functional Protein Design into Language Models At the BioLogic Summit, you will hear updates on de novo design from Prescient Design, Profluent, University of Washington, Stanford University, Xaira Therapeutics, AstraZeneca, Amgen, and many more. These sessions will provide valuable perspectives on how computational innovations, particularly those driven by AI, are making significant strides in the biotech and biopharma space, potentially leading to more rapid and cost-effective drug development. We hope to see you this January in San Diego. #antibodies #antibody #aI #ml #biotechnology #biotherapeutic #biopharmaceuticals #drugdiscovery #pharmaceutical #protein engineering

Unraveling the complexities of multi omic data integration is key to driving innovation in life sciences. From genomics to proteomics, and everywhere in between, each dataset holds a piece of the puzzle in understanding biological systems. Explore how advanced techniques are reshaping life science research and discovery. Read more on our blog - https://hubs.la/Q02GjrJs0 #LifeScience #Innovation #Multiomics #Research

Our research focused on analyzing the DPP-IV inhibitory potential of bioactive peptides from Buffalo colostrum is now published in the Journal of Molecular Recognition (WILEY)! Using bioinformatics, we pinpointed potential peptides in buffalo colostrum, with one heptapeptide showing promising DPP-IV inhibition in vitro To access the methodology followed and our insights to the key residues of these two enzymes, click on the link below: https://lnkd.in/gvhUPgUX #publication #researchpublication #bioinformatics #lifescience #insilicodiscovery

Scalable knowledge graph for the win!!! The underlying complexities of biological systems necessitates a progressive, data integration strategy. Not a static view...but rather a living, breathing schema that flexes and creates new knowledge as additional data is added. #multiomics #genomics #knowledgegraph #bioinformatics