Labena Slovenia’s Post

Enhanced my skills in genomics research and biotech advancements through a hands-on course, mastering multiple sequence alignment, variant study, and phylogenetic analysis. Equipped to drive innovation in genomics and biotech applications. Open to exciting opportunities in this field! #Genomachub #GenomicsCourse #BiotechAdvancements #GenomicEvolution #MultipleSequenceAlignment #PhylogeneticAnalysis #GenomicsResearch #BiotechCareers #GenomicsInnovation"

We’re paving the way through our collaboration with CiberMed to enable a new Targeted Digital Cytometry method from bulk RNASeq data! If you are doing immune cell profiling but need a way to scale your sample numbers or address tissue dissociation bias, this method might be for you! #targetenrichment #digitalcellprofiling #cellprofiling #immunecellprofiling #deconvolution #rnaseq #cibermed

Excited to announce our latest publication in Genes journal! 🌟 Our paper, "Knotify_V2.0: Deciphering RNA Secondary Structures with H-Type Pseudoknots and Hairpin Loops," introduces an advanced framework for predicting RNA structures, significantly enhancing accuracy and efficiency. This work highlights the potential of syntactic pattern recognition in understanding complex RNA formations. Read more about our findings and methodologies here: [MDPI Genes](https://lnkd.in/dJGRbnYi) #RNA #Bioinformatics #Research #Science

Sharing the first publication of my Doctoral journey (Journal Functional and Integrative Genomics, Springer Nature group, SCIE, IF:3.9) Thank You everyone for your guidance and support during my work. #research #nextgenerationsequencing #ngs #multiomics #bioinformatics #RNASeq #scRNASeq #dimensionalityreduction #featureengineering #machinelearning

Single-cell genomics is a hot topic wherever you look, but how exactly can you get a single cell in the first place? And why does it even matter? Single-cell whole genome amplification (scWGA) is often a first step towards providing a wealth of information about the genetic heterogeneity within a cell population, such as tumours or environmental samples. Getting your cells of interest is one thing, but gently separating them for analysis is often a challenge! Our scPicking Platform technology removes all frustration, allowing researchers to gently isolate single cells of interest so they can get on with experiments that lead to the next breakthrough in our understanding of genomics.   Check out our scWGA application note, demonstrating how straightforward single-cell isolation should really be. Want to learn more and speak to us about the technology? Get in touch with us: 💻 https://iotasciences.com/ 📧 [email protected] 📞 +44 (0) 1865 309360 #isoPick #singlecell #singlecellisolation #iPSC #hiPSC #efficientisolation #scWGA #genome #iotaSciences

#biotechnology #bioengineering #revolutionarytechnology #crisprcas9 _____________ ____________ CRISPR SYSTEM GENERATION The realm of Biotechnology is generative models for biology that usually focus on a single modality (at a time)—i.e. only on proteins or on RNA. One of the key breakthroughs highlighted is that Evolution can perform multimodal design to generate novel CRISPR systems, a task that requires creating large functional complexes of proteins and ncRNA (non-coding RNA) and is out of attain for existing generative models. Typically, new CRISPR systems require searching through natural genomes for similar sequences that were taken from an organism. Instead, Evo enables a new approach to generating biological diversity by sampling sequences directly from a generative model, an exciting frontier for creating new forms of genome editing tools.

Exciting breakthrough in #cellbiology! 🚀 🔬 Scientists propose AI-powered Virtual Cells to revolutionize our understanding of biology and disease. These models learn from vast biological data to create robust representations of cells under various conditions. 🎯 This groundbreaking approach could transform drug discovery, predict cellular responses, and accelerate hypothesis testing. Quick Read: https://lnkd.in/gmUrbtAQ #Bioinformatics #VirtualCell #ArtificialIntelligence #BiomedicalResearch #AIinBiology #AIinHealthcare #ScienceNews #biotechnology

📄 𝐍𝐞𝐰 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐊𝐧𝐨𝐜𝐤𝐢𝐧 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 & 𝐀𝐋𝐅𝐀 𝐍𝐚𝐧𝐨𝐛𝐨𝐝𝐲-𝐛𝐚𝐬𝐞𝐝 𝐆𝐞𝐧𝐞𝐭𝐢𝐜 𝐓𝐨𝐨𝐥𝐛𝐨𝐱 In a recent study published in 𝐷𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡𝑎𝑙 𝐶𝑒𝑙𝑙, researchers from the Biozentrum, University of Basel and Severo Ochoa Molecular Biology Centre (CBM) in Madrid, introduced 𝐒𝐄𝐄𝐃/𝐇𝐚𝐫𝐯𝐞𝐬𝐭 - a robust CRISPR-Cas9-based method leveraging the Single-Strand Annealing (SSA) repair pathway for precise and scarless DNA editing in 𝐷𝑟𝑜𝑠𝑜𝑝ℎ𝑖𝑙𝑎. Building on this foundation, the researchers developed an 𝐀𝐋𝐅𝐀 𝐧𝐚𝐧𝐨𝐛𝐨𝐝𝐲-𝐛𝐚𝐬𝐞𝐝 𝐠𝐞𝐧𝐞𝐭𝐢𝐜 𝐭𝐨𝐨𝐥𝐛𝐨𝐱 to enable the manipulation of short tag knockins and conditional protein labeling. They showed: 🧬𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞𝐝 𝐊𝐧𝐨𝐜𝐤𝐢𝐧 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐒𝐡𝐨𝐫𝐭 𝐏𝐫𝐨𝐭𝐞𝐢𝐧 𝐓𝐚𝐠𝐬 𝐢𝐧 𝐓𝐚𝐧𝐝𝐞𝐦: The SEED/Harvest approach using the SEED-ALFA:HA cassette enabled efficient insertion of ALFA:HA tags into the Ptc and Sqh genes. Protein-specific expression patterns were validated using anti-HA antibody and the anti-ALFA nanobody (NanoTag, #N1502). 🪰 𝐈𝐧 𝐯𝐢𝐯𝐨 𝐀𝐋𝐅𝐀-𝐭𝐚𝐠𝐠𝐞𝐝 𝐊𝐧𝐨𝐜𝐤𝐢𝐧𝐬 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: The 𝐚𝐧𝐭𝐢-𝐀𝐋𝐅𝐀 𝐜𝐡𝐫𝐨𝐦𝐨𝐛𝐨𝐝𝐲, a fusion of the engineered ALFA nanobody with a fluorescent protein, enabled the imaging of ALFA:HA-tagged Sgh protein localization and dynamics in vivo. ♻️𝐒𝐢𝐦𝐮𝐥𝐭𝐚𝐧𝐞𝐨𝐮𝐬 𝐀𝐋𝐅𝐀:𝐇𝐀-𝐭𝐚𝐠𝐠𝐞𝐝 𝐏𝐫𝐨𝐭𝐞𝐢𝐧 𝐃𝐞𝐠𝐫𝐚𝐝𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: The 𝐝𝐞𝐠𝐫𝐚𝐝𝐀𝐋𝐅𝐀 𝐭𝐨𝐨𝐥 based on the ALFA nanobody fused with an F-box domain, enabled the targeting of ALFA:HA-tagged proteins for polyubiquitination and degradation while allowing simultaneous visualization. Curious to learn more? Read the full paper here 👉 https://bit.ly/49hS1GK Have you explored the ALFA system in your work? Share your experiences in the comments! #ScarlessEditingByElementDeletion #ALFATag #CRISPR #ProteinVisualization #DevelopmentalBiology

𝐁𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬 𝐁𝐨𝐨𝐦: 𝐅𝐫𝐨𝐦 $10.1𝐁 𝐭𝐨 $18.7𝐁 𝐛𝐲 2027! Download PDF Brochure-https://lnkd.in/dKhssaGB The global bioinformatics market, valued at $10.1 billion in 2022, is projected to reach $18.7 billion by 2027, growing at a CAGR of 13.0% 𝐓𝐡𝐞 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐫𝐞𝐩𝐨𝐫𝐭 𝐢𝐧𝐜𝐥𝐮𝐝𝐞 Thermo Fisher Scientific, Eurofins Scientific Finland Oy, QIAGEN, Agilent Technologies, Inc. (US), and Illumina, Inc. (US), Waters Corporation (US), DNASTAR (US), NeoGenomics Laboratories (US), Perkin Elmer, Inc. (US), GENEWIZ (US) and BGI Group (China), Fios Genomics (UK), Partek Incorporated (US), SOPHiA Genetics (Switzerland), Source BioScience (UK), and Biomax Informatics AG (Germany) among others. #Bioinformatics #DataScience #Genomics #ComputationalBiology #BigData #MachineLearning #BioinformaticsResearch #DataAnalysis #BioinformaticsTools #BioinformaticsCommunity

Third-generation sequencing, also referred to as long-read sequencing, represents a category of DNA sequencing techniques that generate lengthier sequence reads. In comparison to second-generation sequencing, commonly known as next-generation sequencing, third-generation sequencing technologies have the capacity to produce significantly longer reads. This characteristic bears significant implications for genome science and broader biological studies. Who invented this and when? Third-generation sequencing was developed by Pacific Biosciences (PacBio) and Oxford Nanopore Technology (ONT) and has been under active development since 2008.   What are the companies leveraging it? Some big names that are leveraging this innovation are Pacific Biosciences of California, Genia Technologies, Stratos Genomics, GATC Biotech AG, Phase Genomics, and Loop Genomics. #BioAngelsBiotechChronicles #BioAngels #HealthcareInnovations #HealthcareSolutions