GreenGate Genomics’ Post

Interesting in getting started with #Metagenomics and/or #Metatranscriptomics? Have a look at this super interesting workshop offered by GreenGate Genomics. You can bring your own data to work on and get hands on, personal training on how to analyze it using the best available bioinformatic tools and pipelines! Don't miss out! Questions? Shoot me a DM and I will get back to you!

Are you passionate about delving into the fascinating world of genomics and bioinformatics? 🧬 I'll guide you through the basics of single-cell RNA-seq. Learn how single-cell analysis is transforming our understanding of biology by allowing researchers to explore cellular heterogeneity. I have added the first video on the basics of single-cell RNA-Seq and the workflow. I will be adding the entire series on single-cell data analysis in multiple parts. Here's the single-cell RNA-Seq lesson from my YouTube channel: Introduction and workflow of Single-cell RNA-seq | PART1 | Bioinformatics Course: https://lnkd.in/gciCrR2E Subscribe to the channel to receive notifications for upcoming lessons in each domain. Channel name: Bioinfo byte Link: https://lnkd.in/gqbY-2Tz I have also covered Linux and shell scripting in my previous lectures. Please watch the entire series to gain mastery of the Linux command line domain. Please check my previous post where I have provided the course structure for each domain. 🌿 Don't miss out on this opportunity to level up your skills. 🚀 Join me on this exciting journey, and let's unlock the mysteries of genomics together! 🧬✨ #Bioinfobyte #Bioinformatics #singlecellRNAseq #RNAseq #Genomics #DataScience #NGS #Python #R #DataAnalysis #DataVisualization #CareerDevelopment #FreeOnlineCourse #LinkedInLearning #LifeLongLearning #CareerGrowth

🔬 SnapATAC2: A New Tool for Single-Cell Omics Analysis 🔬 A recent study in Nature Methods (https://buff.ly/3vUCEVd) unveils SnapATAC2, a new Python tool revolutionizing single-cell epigenomics analysis. 🌐 Key Features: 🔵 Advanced Algorithm: SnapATAC2 employs a matrix-free spectral embedding algorithm, enhancing the analysis of cellular heterogeneity and scalability for large datasets. 🔵 Efficient Dimensionality Reduction: It projects high-dimensional single-cell omics data into low-dimensional space, preserving cell relationships, crucial for understanding complex biological systems. 🔵 Innovative Use of Lanczos Algorithm: This approach bypasses the need for constructing a graph Laplacian matrix, significantly reducing storage space requirements. 🔵 Wide array of single-cell omics data, including ATAC-seq, RNA-seq, Hi-C, and methylation. 🔵 Comprehensive Functionalities: The tool encompasses preprocessing, embedding/clustering, functional enrichment analysis, and multimodal omics analysis. 👩💻 Github page: https://buff.ly/3OjgaDG 🔍 SnapATAC2 stands out for its ability to handle the computational challenges in single-cell omics data analysis, making it a valuable asset for biologists, bioinformaticians, and pharma leaders. 📢 Join the Conversation 📢 Share your thoughts, methods, and tools in the comments 👇 💬  #SingleCellAnalysis #Epigenomics #Bioinformatics #SnapATAC2 #PythonTools #Genomics #DataScience

As someone who started at the bench with no concept for what the command line was or how to write code, jumping into the single cell field was daunting. Back then, I found it difficult that I couldn't analyze or even interpret the results of the very experiments that I had run in lab. It turns out, after speaking with many of our customers, this feeling is true among a large part of our community today as well. As the field continues to grow, even more scientists are starting to use single cell sequencing in their research, many of whom are not experts in bioinformatics. We're very excited to have launched Trailmaker, our end-to-end data analysis platform that allows you to go from raw sequencing FASTQ files straight to downstream single cell data interpretation and analysis without the need for a single line of code. We are excited to make the most exciting part of single cell sequencing - the data - more accessible to everyone in the field. You can also share your projects in Trailmaker with your collaborators, to allow really anyone you want to take a deeper dive into the data you've generated. If you don't have any of your own data yet, you can also browse datasets that have been preloaded into the platform, or upload other publicly available datasets. You can use it for free today - check it out at https://lnkd.in/gf3qa8HC

This #Next_Generation_Sequencing Certificate Program covered the key bioinformatics concepts and tools related to next-generation sequencing data analysis. Thanks to BioGrademy. It included genome informatics, transcriptome assembly, genome structure, whole-genome sequencing and Linux environment. Upon successful completion of this course, one gets well versed to the technology, analysis workflows, tools, and resources for next-generation sequencing data analysis. This Next Generation Sequencing Certificate Program seeks to provide learners with an understanding of the technology, analysis workflows, tools, and resources for next-generation sequencing data analysis. The whole integrated course is divided into 5 major units including: 1. Linux Environment and Awk/Shell Scripting Fundamentals. 2. Introduction to Genome Structure and Organization. 3. Introduction to Genome Informatics. 4. De-Novo Whole Genome. 5. RNA-Seq Data. It was a great experience to learn the course. #learning #understanding #molecular #biology #courses #bioinformatics #linux #genome #structure #RNA #scripting #transcriptome #dataanalysis #tools #technology #nextgenerationsequencing

🌟 Exciting Announcement! Join Our Free Webinar on Linux Basics for Bioinformatics Hey there, Bioinfo enthusiasts! Are you ready to level up your skills in handling biological data with the Linux command line? Get ready to dive into the world of command line magic and unlock the full potential of your data analysis journey. 🔬 What to Expect: In our upcoming webinar, we'll cover the fundamental Linux command line tools essential for bioinformatics. From navigating directories to manipulating files and executing powerful scripts, you'll gain the skills needed to streamline your bioinformatics workflows like a pro. 🚀 Join the BioinfoByte Community: Be part of a vibrant community dedicated to empowering each other in bioinformatics and beyond. Together, we'll build our careers, share insights, and support one another's growth in the dynamic field of computational biology. 🔗 Connect with Us: Subscribe to our channel and join the BioinfoByte community to stay updated on upcoming webinars, tutorials, and resources to supercharge your bioinformatics journey. Channel name: Bioinfo byte Link: https://lnkd.in/gqbY-2Tz BUT WAIT .............................. 💡 Missed Our Last Webinar?: Don't worry, we've got you covered! In our previous session, we tackled burning questions about career transitions, skill acquisition, and navigating the shift from wet lab to computational fields. If you haven't already, catch the recording to gain invaluable insights into advancing your career in bioinformatics. Link: https://lnkd.in/gmH2EYa7 Key Insights from Our Recent Webinar Last week, I had the privilege of hosting a webinar where we delved into the exciting world of bioinformatics. Here are some key takeaways from our insightful session: 1️⃣ Scope in India and Abroad 2️⃣ Transition for Biotech Students 3️⃣ Pay and Growth Prospects: 4️⃣ Ph.D. Considerations 5️⃣ Coding Proficiency 6️⃣ Approaching Companies 7️⃣ Resume Essentials 8️⃣ Networking and Job Applications #Bioinformatics #Linux #CommandLine #Webinar #ScienceCommunity #CareerTransition #BioinfoByte

Learn R programming with this guide: https://lnkd.in/dv7UJ4gr. Essential for doctors in data analysis, bioinformatics, and visualizations. #MedTech #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

🎓𝐌𝐚𝐬𝐭𝐞𝐫 𝐁𝐢𝐨𝐩𝐲𝐭𝐡𝐨𝐧: 𝐀 𝟏𝟐-𝐃𝐚𝐲 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐁𝐨𝐨𝐭𝐜𝐚𝐦𝐩 This course is packed with practical coding examples and real-world applications designed to equip you with cutting-edge bioinformatics techniques. 🌟𝐂𝐨𝐮𝐫𝐬𝐞 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:🌟 𝐃𝐚𝐭𝐚 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 & 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: Learn to process and manage biological data efficiently. 𝐒𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝐀𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭: Master the techniques of aligning DNA, RNA, and protein sequences. 𝐍𝐂𝐁𝐈 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬: Fetch and manipulate biological data from NCBI. 𝐂𝐎𝐕𝐈𝐃-𝟏𝟗 𝐆𝐞𝐧𝐨𝐦𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Perform real-time genome analysis of COVID-19 using Biopython tools. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐁𝐋𝐀𝐒𝐓 𝐒𝐞𝐚𝐫𝐜𝐡𝐞𝐬: Leverage BLAST to search databases with advanced parameters. 𝐏𝐫𝐨𝐭𝐞𝐢𝐧 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Visualize protein structures with powerful tools. 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐁𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬: Get hands-on experience with the latest trends and practices in bioinformatics. 🔗𝐌𝐞𝐝𝐢𝐚 𝐋𝐢𝐧𝐤𝐬: 🔗 𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤 :- https://lnkd.in/dD7qMC7F 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 :- https://lnkd.in/dizRbPkm 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 :- https://lnkd.in/dUa75WSA 𝐖𝐞𝐛𝐬𝐢𝐭𝐞 :- https://bioinfocamp.co/ 𝐄𝐦𝐚𝐢𝐥 :- bioinfocamp.official@gmail.com 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 :- wa.me/+923241678593 For just $𝟕𝟎, start your journey to becoming a bioinformatics pro today! 👉 𝐄𝐧𝐫𝐨𝐥𝐥 𝐍𝐨𝐰:- https://lnkd.in/gHzuXYV9 "𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐞 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐥𝐢𝐤𝐞 𝐧𝐞𝐯𝐞𝐫 𝐛𝐞𝐟𝐨𝐫𝐞—𝐦𝐚𝐬𝐭𝐞𝐫 𝐏𝐲𝐭𝐡𝐨𝐧 𝐟𝐫𝐨𝐦 𝐛𝐚𝐬𝐢𝐜𝐬 𝐭𝐨 𝐛𝐫𝐢𝐥𝐥𝐢𝐚𝐧𝐜𝐞!" #PythonVisualization #DataScience #SkillUp