Seqera’s Post

At this year's #microscopy training course, learn how to: • Interact programmatically with the European Bioinformatics Institute | EMBL-EBI BioImage Archive and other data resources • Apply pre-built machine learning models to image data • Train and retrain machine learning models on image data • Utilise machine learning approaches for object detection, image segmentation, and de-noising • Generate quantitative conclusions from images Learn all this, and more, at our virtual #microscopy #bioinformatics training course this spring. Applications are open until 4 February 2024: https://lnkd.in/e6hdX6dH Funding opportunities may be available to you via BioImaging North America, check the website for full eligibility criteria. Some of this course’s organisers and trainers are partners of the AI4Life EU project. AI4Life has received funding from the CO3 Project | Horizon 2020 European Union programme under grant agreement number 101057970. #lightmicroscopy #electronmicroscopy #dataanalysis #imageanalysis #bioimaging #bioimagedata #biologicalimaging #machinelearning #AIML #MLAI #ZeroCostDL4Mic #ilastik #BioImageModelZoo #CellProfiler #EMPIAR #BioImageArchive #ImageDataResource #Python #Colaboratory

Thrilled to announce that I have completed the "Algorithms on Strings" course on Coursera! 🎉 This course provided me with in-depth knowledge of string algorithms, covering topics such as pattern matching, suffix arrays, suffix trees, and Burrows-Wheeler transform. These advanced techniques are essential for text processing, bioinformatics, and data compression applications.I'm excited to leverage these skills in my future projects and continue exploring the fascinating world of algorithms. A big thank you to the Coursera team and the instructors for this excellent learning opportunity. #Algorithms #StringAlgorithms #Coursera #ContinuousLearning #ProfessionalDevelopment #ComputerScience

Happy to announce that this is my first personal blog post related to Artificial Intelligence & Bioinformatics, which covers the in-depth fundamentals of Bioinformatics and a high-level architecture of the AlphaFold project by Google DeepMind. 🧬👾 Special thanks go to Ms. GAI Uwanthika, who taught me the fundamentals of Bioinformatics, and Mr. Gihan Liyanage , who is my mentor/lecturer in the realms of Artificial Intelligence. 🎉 Read it here : - https://lnkd.in/geD3vXqR See you in the next blog post 🚀🤖 #deeplearning #bioinformatics

🔬 Unlock the Power of AI in Bioinformatics! 🖥️ Are you ready to revolutionize your research and stay ahead in the rapidly evolving field of bioinformatics? 🚀 Join our cutting-edge online training program: "Machine Learning in Bioinformatics" 🗓️ Next cohort starts 25 July, 2024. Limited seats available! Don't miss this opportunity to transform your skills and accelerate your research! 🔗 Learn more and secure your spot: https://lnkd.in/grUEakiP Questions? Contact us at info@cbirt.net #MachineLearning #Bioinformatics #AIinBiology #OnlineTraining #ComputationalBiology

Dive into the world of #nanopore sequencing with our hands-on workshop at London Calling 2024. Learn more below.👇 Perfect for beginners, in the 'Single cells to whole genomes: nanopore data analysis' workshop you'll learn how to unlock the power of #EPI2ME workflows for comprehensive #genomic insights. Ready to test your skills in #bioinformatics? The 'Advanced workshop - bioinformatics challenge' is designed for bioinformatics experts to develop EPI2ME compatible workflows for sequencing analysis. Command-line prowess & #Python knowledge a must. Are you up to the challenge? Finally, the 'Introduction to machine learning for analysing Oxford Nanopore data' workshop will teach you the theory of using #MachineLearning to basecall nanopore sequencing data, as well as how to perform secondary analysis (variant and methylation calling). Learn more: https://bit.ly/42zSpgy #nanoporeconf #wymm

🚀 Exciting News! 🚀 I'm thrilled to share my very first article, "Revolutionizing Bioinformatics: Unleashing Conda's Full Potential in Google Colab." 💻🧬 In the fast-paced world of bioinformatics, the need for robust computational environments is undeniable. 🌐 Google Colab has remained an untapped resource for permanent software installations, until now. 🛠️ In my article, I unveil a groundbreaking method to permanently install Conda in Google Colab, a game-changer for bioinformatics researchers like me. 🎉 Read the full article on medium by using given link. I've also included interactive Colab notebooks to make the process hands-on and accessible. Let's explore the future of bioinformatics together! 🌟 Your thoughts and feedback are greatly appreciated as I embark on this journey of sharing knowledge and discoveries. 🚀 #Bioinformatics #GoogleColab #Conda #DataAnalysis #Research #Science #Tech #Innovation #DataScience

🔍 Excited to share insights into the fascinating world of Bioinformatics powered by R language! 🧬💻 Join me on a journey of unlocking the programming potential in Bioinformatics. Let's harness the power of R to decode the mysteries within the genetic code. 🌐🔬 #Bioinformatics #ProgrammingInR #DataScience #LifeSciences Playlist : R language In Bioinformatics : Unlocking the power of programming 1. Getting started with R : https://lnkd.in/gKY9FkZR 2. Functions : https://lnkd.in/gZ523qNG 3. Data structure : https://lnkd.in/g2sEzftj 4. Data frames : https://lnkd.in/gx75n-Tz 5. Object & Classes : https://lnkd.in/dccFMEBM 6. Models & Formula : https://lnkd.in/g35KfhtW 7. Data Visualization : https://lnkd.in/gBMwWq3E Follow for more exiting vedios and tutorials: https://lnkd.in/g5zW53zc

I share with you my idea The answer of gemini to the question Could Spring batch be the model describing how Crispr cas9 works https://lnkd.in/eWGDH9qt #CRISPR #Spring #Java #model #IA

I still remember the first time I attended Dr. Ali Sharifi-Zarchi ‘s class during my freshman year. I had no idea what to expect, but his explanation about bioinformatics and its future applications really surprised me. It's like a new world opened up to me! His insight into the intersection of computer science and biology is truly inspiring. If you are curious about the future of this science, I highly recommend watching this video which I took at IranPharma 2024. #Iranpharma #Iranpharma2024 #Bioinformatics #drugdesign #drugdiscovery #AI #machinelearning #deeplearning

🎉 Excited to announce our tutorial at #ISMB2024: "A Practical Introduction to LLMs in Biomedical Data Science Research" on July 8-9, 2024. Organized with Xiangru (Robert) Tang Shubo Tian Hufeng Z. Zhiyong Lu, PhD FACMI Mark Gerstein. Whether you're a beginner or an experienced professional - this tutorial promises to provide insights and practical knowledge for everyone. Key takeaways: ▶ Understand CoT, Retrieval-augmented generation, LLM agents & more ▶ Code with open-source LLMs and OpenAI APIs ▶ Boost coding efficiency in bioinformatics with LLMs ▶ Use LLMs in biomedical Q&A, literature exploration, & drug design Details: 🔗 https://lnkd.in/gBxkrXA6 🔗 https://lnkd.in/grcqnd5g 🤗 Spread the word & join us!