knowing01

Did you know that knowing01 took part in the Invest in Bavaria image trailer entitled “Bavarian Excellence meets BioTech: Biotechnology Cluster”? Our journey began in 2015 when Dr. Nikola Müller, our CEO and founder, had a groundbreaking idea. With the support of the Bavarian m4 Award by BioM Biotech Cluster Development GmbH, this idea was brought to life at Helmholtz Munich. Then in 2020, knowing01 was officially founded in Munich. Watch the Invest in Bavaria - The Business Promotion Agency of the State of Bavaria image trailer 'Bavarian Excellence meets BioTech: Biotechnology Cluster' to see knowing01 in action from minute 1:41 to 1:58. Listen to Dr. Nikola Müller talk about our mission: “We empower every researcher to shorten the time to insight with a single click.” Watch the full video on YouTube here: https://lnkd.in/dBqbipbc Interested in learning more about our ideation phase? Read our blog post here: https://lnkd.in/ek3QeNiR #StartUp #Munich #m4Award #LifeSciences #knowing01 #InvestInBavaria #Innovation #Biotechnology #Biotech #BioM #BavarianExcellence

New article in Cell Systems explores how modern NLP techniques can be applied to understand gene functions as distributions over cellular contexts, offering a new perspective for analyzing genetic data. In this article, Kwon et al. draw an intriguing parallel between the complexities of language and gene function. Just as words take on different meanings depending on context, genes exhibit different functions depending on the biological systems surrounding them. This pleiotropic nature poses challenges to traditional gene ontologies, as they often fail to account for these dynamic contexts. Therefore, the authors propose an innovative approach inspired by recent advances in natural language processing (NLP). Modern NLP techniques, especially transformer-based models such as large language models (LLMs) and generative pre-trained transformers (GPTs), have revolutionized our understanding of word semantics by representing them as vectors within a learned semantic space. Applying a similar methodology to genetics, where gene functions are viewed as distributions in cellular contexts, could lead to significant breakthroughs in data-driven insights from large biological datasets. This shift in perspective promises to improve our understanding of gene function and accelerate discoveries in genetics, potentially transforming the way we approach annotating and analyzing genetic data. For more information, read the full article by Kwon et al. published in Cell Systems on 19 June 2024 here: https://lnkd.in/dTAFs8Fc #WeeklyPublication #Transformers #NLP #NaturalLanguageProcessing #ML #MachineLearning #LLMs #LargeLanguageModels #GPTs #Genetics #GenerativePreTrainedTransformers #GeneFunction #CellSystems #ArtificialIntelligence #AI

Honoring women in Biotech: Today we celebrate Ruby Sakae Hirose (1904-1960), a pioneering Japanese American biochemist and bacteriologist whose research had a lasting impact on modern medicine. Ruby Sakae Hirose's dedication and resilience enabled her to overcome significant barriers, including anti-Asian racism and violence, to make groundbreaking contributions to science. 🔬 Advances in blood clotting and thrombin research Hirose's research on blood clotting mechanisms, particularly thrombin, has significantly improved our understanding of coagulation. Her work has led to better treatments for bleeding disorders and improved the safety of surgical procedures. 🩺 Research on allergies Hirose conducted extensive research on allergies and contributed to the development of therapies that help manage and alleviate allergic reactions. Her research on pollen extracts helped improve allergy desensitization and had a lasting impact on allergy treatment and patient care. 🧬 Cancer research with antimetabolites Hirose's innovative work in cancer research focused on the use of antimetabolites, substances that interfere with the metabolism of cancer cells and inhibit their growth and proliferation. This research laid the foundation for the development of effective chemotherapies and opened up new ways to fight different types of cancer. To learn more about inspiring women like Ruby S. Hirose, follow us on LinkedIn! #WomenInScience #WomenInBiotech #Thrombin #STEM #RubySakaeHirose #RubyHirose #Pioneer #MedicalResearch #JapaneseAmerican #Inspiration #Immunology #Coagulation #CancerResearch #Cancer #BloodClotting #Biotech #Biochemistry #Bacteriology #AsianAmerican #Antimetabolites #AllergyResearch

Don't forget to register and join our webinar on Tuesday, 16 July 2024, at 5pm CEST / 11am EDT titled "Contextualize Multiomics data with knowledge graphs for early-phase discoveries". Integrating Multiomics data is an innovative approach to early-phase discoveries that provides scientists with a holistic view of biological processes and their relationships that are otherwise overlooked. Knowledge graphs offer a robust framework for such comprehensive analysis while reducing time and cost. At knowing01, we have developed easy-to-use software that decodes the complex interplay of Multiomics data to identify therapeutically relevant disease markers. Sounds interesting? Then join our webinar: When? Tuesday, 16 July 2024, at 5pm CEST / 11am EDT Duration? 15 minutes Where? Online More information and registration: https://lnkd.in/dpGvCU6r #WomenInIT #Webinar #Research #Omics #Multiomics #KnowledgeGraphs #knowing01 #Innovation #FemaleLeaders #DrugDiscovery #DataScience #DataIntegration #DataAnalysis #Biotechnology

Exciting advances in genome editing: researchers have developed programmable RNA-guided recombinase enzymes that enable precise and versatile large-scale genome editing. The article in Nature News & Views introduces innovative RNA-guided recombinase enzymes that open up new horizons for precise genome editing. These enzymes enable the insertion, inversion or deletion of long DNA sequences at specific genomic locations, revolutionizing the possibilities of genetic engineering. Important highlights: ➡ 'Bridge' RNA molecules: These RNA molecules enable precise targeting to genomic sites, overcoming the limitations of traditional recombinase enzymes. ➡ Versatile genome editing: The engineered loops in the bridge RNA enable customizable DNA sequence manipulations, improving the flexibility and precision of genome edits. ➡ Potential applications: From bacterial genomes to potentially more complex organisms, this discovery promises far-reaching applications in biotechnology and medicine. Read the full article by Connor J. Tou & Benjamin B. Kleinstiver, published in Nature on 26 June 2024, to learn how this innovation will transform genome editing: https://lnkd.in/dnCG8AfR Follow us on LinkedIn and stay tuned for more cutting-edge research news every week! #WeeklyPublication #ScientificResearch #RNA #Recombination #Recombinase #NewsAndViews #NatureJournal #Innovation #GenomeEditing #Genetics #GeneticEngineering #BridgeRNA #BridgeRecombination #BridgeEditing #Biotechnology

Register now for our webinar on Tuesday, 16 July 2024, at 5pm CEST / 11am EDT to learn more about how to contextualize Multiomics data to accelerate early-phase discoveries in drug development. The integration of multiple biological data types, also known as Multiomics, is an innovative approach to early-phase discoveries. By contextualizing this data, scientists gain a holistic view of biological processes and their relationships that are otherwise overlooked. Knowledge graphs provide a robust framework for such comprehensive analysis while reducing time and cost. At knowing01, we have developed an easy-to-use software that decodes the complex interplay of Multiomics data to identify therapeutically relevant disease markers. Want to learn more? Join our webinar: When? Tuesday, 16 July 2024, at 5pm CEST / 11am EDT Duration? 15 minutes Where? Online Dr. Nikola Müller, CEO & Founder of knowing01, and Karolina Worf, Online Content Manager at knowing01, will talk about "Contextualize Multiomics data with knowledge graphs for early-phase discoveries". More information and registration: https://lnkd.in/dpGvCU6r #WomenInIT #Webinar #Research #Omics #Multiomics #KnowledgeGraphs #knowing01 #Innovation #FemaleLeaders #DrugDiscovery #DataScience #DataIntegration #DataAnalysis #Biotechnology

New publication in Cell Genomics introduces singletCode, an innovative approach to improve the accuracy of single-cell RNA sequencing. The publication by Zhang et al. introduces singletCode, a framework that uses synthetic DNA barcodes to identify true single cells in single-cell RNA sequencing (scRNA-seq) datasets and benchmark doublet detection algorithms, improving the accuracy of single-cell analysis. Key takeaways: ➡ DNA barcodes: Use of synthetic DNA barcodes to identify true single cells (singlets) in scRNA-seq datasets, a crucial step to avoid false positives and negatives in cellular analysis. ➡ singletCode: A framework developed for extracting ground-truth singlets and benchmarking existing doublet detection tools. ➡ Machine learning: Using these ground-truth singlets, a machine learning (ML) classifier was trained to outperform existing doublet detection algorithms, paving the way for more accurate single-cell analyses. ➡ Broad applicability: singletCode is versatile and enables robust doublet detection even in non-barcoded datasets, making it a valuable tool for a wide range of biological and medical research. This research is a significant advance in the field of genomics and promises to improve the accuracy of scRNA-seq and its applications for understanding complex biological systems. Read the full study by Zhang et al. published in Cell Genomics on 25 June 2024 here: https://lnkd.in/dEZKBZgp #WeeklyPublication #singletCode #SingleCellRNASequencing #SingleCell #Sequencing #scRNAseq #RNA #ML #MachineLearning #Innovation #Genomics #DNABarcodes #DNA #CellGenomics #Biotechnology #Bioinformatics #AI

Honoring women in Biotech: Today we honor Marie Maynard Daly (1921 - 2003), a pioneering African American chemist whose research contributed to our basic understanding of histones and DNA organization. Marie M. Daly made history as the first African American woman to earn a Ph.D. in chemistry. Her groundbreaking work had a profound impact on the scientific community and beyond. 🔬 Research on histones and DNA organization Daly's groundbreaking research on histones has significantly advanced the field of molecular biology and contributed to our knowledge of the structure and function of DNA. Her work laid the foundation for future discoveries in genetics. James D. Watson, for example, cited one of her papers as a contribution to his work on the structure of DNA. 🩺 Effects of cholesterol and hypertension Daly's studies on the chemistry of proteins provided crucial insights into how high cholesterol levels and hypertension affect the human body. In particular, she established a link between these conditions and clogged arteries - an important discovery for understanding the development of heart attacks. 🎓 Establishment of a scholarship fund To honor her father's dream of higher education, Daly established a scholarship fund for African American science students at Queens College in New York. Her commitment to supporting underrepresented students in science continues to inspire future generations. Follow us on LinkedIn to learn more about brilliant women in science like Marie M. Daly! #WomenInScience #WomenInBiotech #STEM #Scholarship #Pioneer #MolecularBiology #MarieMaynardDaly #Legacy #Inspiration #Histones #Education #DNA #Chemistry #CardiovascularHealth #Biotech #AfricanAmerican

Want to learn how to accelerate early-stage discoveries and efficiently identify key disease markers for drug discovery? Then join our webinar on Tuesday, 16 July 2024, at 5 pm CEST / 11 am EDT! Integrating multiple biological data types, also known as Multiomics, is an innovative approach for early-phase discoveries. By contextualizing this data, scientists gain a holistic view of biological processes and their relationships and patterns that are otherwise overlooked. Knowledge graphs provide a robust framework for such comprehensive analyses and accelerate the discovery of new therapies while reducing time and costs. At knowing01, we have developed an easy-to-use software that decodes the complex interplay of Multiomics data to identify therapeutically relevant disease markers. Sounds interesting? Then join our webinar: When? Tuesday, 16 July 2024, at 5pm CEST / 11am EDT Duration? 15 minutes Where? Online Dr. Nikola Müller, CEO & Founder of knowing01, and Karolina Worf, Online Content Manager at knowing01, will talk about "Contextualize Multiomics data with knowledge graphs for early-phase discoveries". More information and registration: https://lnkd.in/dpGvCU6r #WomenInIT #Webinar #Research #Omics #Multiomics #KnowledgeGraphs #knowing01 #Innovation #FemaleLeaders #DrugDiscovery #DataScience #DataIntegration #DataAnalysis #Biotechnology

New research study in Science unlocks the secrets of the human brain using single-cell genomics. The study by Prashant S. Emani et al. (PsychENCODE2) reveals cell type-specific regulatory networks in 388 human brains and advances our understanding of genetic influences on brain function and neuropsychiatric disorders. Key findings: ➡ Massive dataset: more than 2.8 million nuclei from the prefrontal cortex of 388 individuals were analyzed, providing a rich resource for studying brain cell types. ➡ Genetic influence: more than 550,000 cell type-specific regulatory elements and over 1.4 million quantitative trait loci (eQTLs) for single-cell expression were identified, helping us to understand how genetic variants influence gene expression at the cellular level. ➡ Disease insights: detailed networks of cell-type regulation and cell-to-cell communication have been established, providing insight into cellular changes in aging and neuropsychiatric disorders such as schizophrenia, autism, bipolar disorder and Alzheimer's disease. ➡ Prediction models: An integrative model was developed to precisely assign the expression of individual cells and simulate genetic disorders. This model has been used to prioritize around 250 disease-risk genes and drug targets, paving the way for precision medicine. ➡ Resource for future research: The brainSCOPE resource (brainscope.psychencode.org) provides extensive data and tools for the scientific community to further explore brain function and disorders. This study is an example of how the complexity of the human brain can be unraveled using Multiomics and single-cell data, which could lead to targeted therapies for neuropsychiatric disorders. Read the full research article by Prashant S. Emani et al. (PsychENCODE2), published in Science on 24 May 2024, here: https://lnkd.in/ec-Wmdc3 #WeeklyPublication #SingleCell #Science #Research #PsychENCODE2 #PrecisionMedicine #PsychENCODE #Neuroscience #Multiomics #HumanBrain #Genomics #brainSCOPE #BrainHealth