#Ggplot2 Data Visualization R

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#Ggplot2 Data Visualization R Reel by @omics_logic - ๐Ÿ’ป๐Ÿงฌ ๐Ÿ‘-๐ƒ๐š๐ฒ ๐‡๐š๐ง๐๐ฌ-๐Ž๐ง ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐–๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐๐ข๐จ๐ฆ๐š๐ซ๐ค๐ž๐ซ ๐ˆ๐๐ž๐ง๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐”๐ฌ๐ข๐ง๐  ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๏ฟฝ
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@omics_logic
๐Ÿ’ป๐Ÿงฌ ๐Ÿ‘-๐ƒ๐š๐ฒ ๐‡๐š๐ง๐๐ฌ-๐Ž๐ง ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐–๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐๐ข๐จ๐ฆ๐š๐ซ๐ค๐ž๐ซ ๐ˆ๐๐ž๐ง๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐”๐ฌ๐ข๐ง๐  ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐ง. The sessions are designed to help participants work confidently with real gene expression data, guiding them from data preparation to model evaluation and biological interpretation. ๐Ÿ“Œ ๐–๐ก๐š๐ญ ๐˜๐จ๐ฎโ€™๐ฅ๐ฅ ๐‹๐ž๐š๐ซ๐ง - Fundamentals of biomarkers and supervised machine learning - Working with gene expression datasets in Python - Fundamentals of biomarkers and supervised machine learning - Building and evaluating ML models for biomarker discovery - Interpreting model outputs to identify biologically relevant biomarkers ๐–๐ก๐จ ๐’๐ก๐จ๐ฎ๐ฅ๐ ๐€๐ญ๐ญ๐ž๐ง๐: Life science students, bioinformatics and data science learners, and researchers interested in applying machine learning to omics and clinical data. ๐˜—๐˜บ๐˜ต๐˜ฉ๐˜ฐ๐˜ฏ ๐˜ง๐˜ข๐˜ฎ๐˜ช๐˜ญ๐˜ช๐˜ข๐˜ณ๐˜ช๐˜ต๐˜บ ๐˜ช๐˜ด ๐˜ฉ๐˜ฆ๐˜ญ๐˜ฑ๐˜ง๐˜ถ๐˜ญ ๐˜ฃ๐˜ถ๐˜ต ๐˜ฏ๐˜ฐ๐˜ต ๐˜ฎ๐˜ข๐˜ฏ๐˜ฅ๐˜ข๐˜ต๐˜ฐ๐˜ณ๐˜บ. ๐˜›๐˜ฉ๐˜ช๐˜ด ๐˜ธ๐˜ฐ๐˜ณ๐˜ฌ๐˜ด๐˜ฉ๐˜ฐ๐˜ฑ ๐˜ช๐˜ด ๐˜ด๐˜ถ๐˜ช๐˜ต๐˜ข๐˜ฃ๐˜ญ๐˜ฆ ๐˜ง๐˜ฐ๐˜ณ ๐˜ฃ๐˜ฆ๐˜จ๐˜ช๐˜ฏ๐˜ฏ๐˜ฆ๐˜ณ๐˜ด ๐˜ข๐˜ฏ๐˜ฅ ๐˜ญ๐˜ช๐˜ง๐˜ฆ ๐˜ด๐˜ค๐˜ช๐˜ฆ๐˜ฏ๐˜ค๐˜ฆ ๐˜ณ๐˜ฆ๐˜ด๐˜ฆ๐˜ข๐˜ณ๐˜ค๐˜ฉ๐˜ฆ๐˜ณ๐˜ด. ๐Ÿ”—๐‘ญ๐’๐’“ ๐’˜๐’๐’“๐’Œ๐’”๐’‰๐’๐’‘ ๐’…๐’†๐’•๐’‚๐’Š๐’๐’” ๐’‚๐’๐’… ๐’“๐’†๐’ˆ๐’Š๐’”๐’•๐’“๐’‚๐’•๐’Š๐’๐’: https://forms.gle/ZjUFx2Prf7GAeyam9 ๐Ÿ“… ๐ƒ๐š๐ญ๐ž: Feb 17 โ€“ Feb 19, 2026 ๐Ÿ•’ ๐“๐ข๐ฆ๐ž: 7:30 PM IST | 8:00 AM CST ๐Ÿ“ ๐‹๐จ๐œ๐š๐ญ๐ข๐จ๐ง: Online ๐Ÿ”„ Share this post with colleagues who may be interested in biomarker discovery and machine learning applications in biology. #BiomarkerDiscovery #MachineLearning #Python #Bioinformatics #Omics
#Ggplot2 Data Visualization R Reel by @omics_logic - ๐Ÿšจ ๐‘ณ๐‘จ๐‘บ๐‘ป ๐‘ญ๐‘ฌ๐‘พ ๐‘ซ๐‘จ๐’€๐‘บ ๐‘ณ๐‘ฌ๐‘ญ๐‘ป ๐‘ป๐‘ถ ๐‘น๐‘ฌ๐‘ฎ๐‘ฐ๐‘บ๐‘ป๐‘ฌ๐‘น: ๐Ÿ’-๐ƒ๐š๐ฒ ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐‡๐š๐ง๐๐ฌ-๐Ž๐ง ๐–๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐จ๐ง ๐๐š๐œ๐ญ๐ž๐ซ๐ข๐š๐ฅ ๐†๐ž๐ง๐จ๐ฆ
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๐Ÿšจ ๐‘ณ๐‘จ๐‘บ๐‘ป ๐‘ญ๐‘ฌ๐‘พ ๐‘ซ๐‘จ๐’€๐‘บ ๐‘ณ๐‘ฌ๐‘ญ๐‘ป ๐‘ป๐‘ถ ๐‘น๐‘ฌ๐‘ฎ๐‘ฐ๐‘บ๐‘ป๐‘ฌ๐‘น: ๐Ÿ’-๐ƒ๐š๐ฒ ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐‡๐š๐ง๐๐ฌ-๐Ž๐ง ๐–๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐จ๐ง ๐๐š๐œ๐ญ๐ž๐ซ๐ข๐š๐ฅ ๐†๐ž๐ง๐จ๐ฆ๐ข๐œ๐ฌ!๐Ÿงฌ๐Ÿ’ป This online workshop introduces participants to bacterial whole-genome sequencing (WGS) fundamentals and bioinformatics analysis. ๐Ÿ“Š Over four days, attendees will learn about the fundamentals of bacterial genomics, key repositories and databases, NGS workflows, data analysis methods, and the use of popular bioinformatics tools. โœจ By the end, students will understand a typical bacterial genomics pipeline โ€“ from raw sequence data through assembly and annotation, and gain familiarity with key tools and resources. ๐Ÿ“… ๐ƒ๐š๐ญ๐ž: March 2 - March 6, 2026 ๐Ÿ•’ ๐“๐ข๐ฆ๐ž: 7:30 PM IST | 8:00 AM CST ๐Ÿ“ ๐‹๐จ๐œ๐š๐ญ๐ข๐จ๐ง: Online ๐Ÿ”— For more information on workshop structure, curriculum, and training resources, register here: https://forms.gle/ZYomiuo8dHTTtgmLA #BacterialGenomics #GenomeSequencing #WGS #NGSDataAnalysis #BioinformaticsWorkshop
#Ggplot2 Data Visualization R Reel by @doppeldata.au - Great genomic data deserves a great pipeline. Here are the top bioinformatics challenges researchers face - and how to tackle them: 1. Overwhelming d
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@doppeldata.au
Great genomic data deserves a great pipeline. Here are the top bioinformatics challenges researchers face - and how to tackle them: 1. Overwhelming datasets? Break your data into manageable chunks and use automated pipelines to save time. 2. Coding barriers? Learn basic scripting or partner with bioinformatics experts to bridge the gap. 3. Integrating diverse data sources? Standardise formats early and use community-accepted tools. 4. Keeping up with rapidly changing tools? Join local workshops and online communities to stay ahead. 5. Interpreting complex results? Collaborate with statisticians or experienced analysts for context. You're not alone. At Doppeldata, we help researchers build robust pipelines with tailored solutions and a strong community network. Let's make your data work for you ๐Ÿงฌ ๐Ÿ‘‰ https://doppeldata.au/ #Bioinformatics #GenomicsPipelines #ComputationalBiology #DataScience #ResearchTools #Doppeldata
#Ggplot2 Data Visualization R Reel by @omics_logic - ๐Ž๐ฆ๐ข๐œ๐ฌ๐‹๐จ๐ ๐ข๐œ ๐“๐ซ๐š๐ง๐ฌ๐œ๐ซ๐ข๐ฉ๐ญ๐จ๐ฆ๐ข๐œ๐ฌ ๐Ÿ๐จ๐ซ ๐๐ข๐จ๐ฆ๐ž๐๐ข๐œ๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ - redesigned to help you master transc
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@omics_logic
๐Ž๐ฆ๐ข๐œ๐ฌ๐‹๐จ๐ ๐ข๐œ ๐“๐ซ๐š๐ง๐ฌ๐œ๐ซ๐ข๐ฉ๐ญ๐จ๐ฆ๐ข๐œ๐ฌ ๐Ÿ๐จ๐ซ ๐๐ข๐จ๐ฆ๐ž๐๐ข๐œ๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ โ€” redesigned to help you master transcriptomic data analysis with open-source tools and technologies. ๐Ÿ”ฌ From the fundamentals of NGS to advanced single-cell RNA-Seq, this program is structured to take you step-by-step through real-world biomedical applications. ๐Ÿ“š ๐‚๐ฎ๐ซ๐ซ๐ข๐œ๐ฎ๐ฅ๐ฎ๐ฆ ๐Ž๐ฏ๐ž๐ซ๐ฏ๐ข๐ž๐ฐ: ๐˜ฝ๐™€๐™‚๐™„๐™‰๐™‰๐™€๐™ ๐™‡๐™€๐™‘๐™€๐™‡ (1 ๐™ข๐™ค๐™ฃ๐™ฉ๐™): - NGS technologies & RNA-Seq workflows - Data extraction (GEO, TCGA, GDC) & metadata handling - Data cleaning, normalization & exploratory analysis (PCA, t-SNE) - Intro to differential gene expression ๐™„๐™‰๐™๐™€๐™๐™ˆ๐™€๐˜ฟ๐™„๐˜ผ๐™๐™€ ๐™‡๐™€๐™‘๐™€๐™‡ (2 ๐™ข๐™ค๐™ฃ๐™ฉ๐™๐™จ): - DGE with DESeq2 & visualization (volcano, MA plots) - Functional & pathway analysis (DAVID, Reactome, KEGG, GSEA) - Network analysis & visualization (Cytoscape, STRING) ๐˜ผ๐˜ฟ๐™‘๐˜ผ๐™‰๐˜พ๐™€๐˜ฟ ๐™‡๐™€๐™‘๐™€๐™‡ (3 ๐™ข๐™ค๐™ฃ๐™ฉ๐™๐™จ): - Machine learning for RNA-Seq - Introduction to single-cell RNA-Seq (Seurat, Cell Ranger) - Clustering, annotation & functional insights at single-cell level โœจ By the end, youโ€™ll gain hands-on experience in transcriptomics workflows and the confidence to apply them in cutting-edge biomedical research. ๐Ÿ”— ๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ ๐ญ๐จ ๐š๐œ๐œ๐ž๐ฌ๐ฌ ๐ญ๐ก๐ž ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž ๐œ๐ฎ๐ซ๐ซ๐ข๐œ๐ฎ๐ฅ๐ฎ๐ฆ ๐š๐ง๐ ๐ซ๐ž๐œ๐ž๐ข๐ฏ๐ž ๐š๐ฌ๐ฌ๐ข๐ฌ๐ญ๐š๐ง๐œ๐ž ๐Ÿ๐ซ๐จ๐ฆ ๐จ๐ฎ๐ซ ๐ญ๐ž๐š๐ฆ: https://forms.gle/Bz6HndM8pXyZvBvs9 #RNASeq #Bioinformatics #Transcriptomics #Research #GEO #GeneExpression #TCGA #GDC #Coding #R #Programming #Certification #SingleCell #DataAnalysis #Cytoscape #String #Reactome #Seurat #CellRanger #KEGG #GSEA
#Ggplot2 Data Visualization R Reel by @omics_logic - ๐Ž๐ฆ๐ข๐œ๐ฌ๐‹๐จ๐ ๐ข๐œ ๐“๐ซ๐š๐ง๐ฌ๐œ๐ซ๐ข๐ฉ๐ญ๐จ๐ฆ๐ข๐œ๐ฌ ๐Ÿ๐จ๐ซ ๐๐ข๐จ๐ฆ๐ž๐๐ข๐œ๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ - redesigned to help you master transc
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@omics_logic
๐Ž๐ฆ๐ข๐œ๐ฌ๐‹๐จ๐ ๐ข๐œ ๐“๐ซ๐š๐ง๐ฌ๐œ๐ซ๐ข๐ฉ๐ญ๐จ๐ฆ๐ข๐œ๐ฌ ๐Ÿ๐จ๐ซ ๐๐ข๐จ๐ฆ๐ž๐๐ข๐œ๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ โ€” redesigned to help you master transcriptomic data analysis with open-source tools and technologies. ๐Ÿ”ฌ From the fundamentals of NGS to advanced single-cell RNA-Seq, this program is structured to take you step-by-step through real-world biomedical applications. ๐Ÿ“š ๐‚๐ฎ๐ซ๐ซ๐ข๐œ๐ฎ๐ฅ๐ฎ๐ฆ ๐Ž๐ฏ๐ž๐ซ๐ฏ๐ข๐ž๐ฐ: ๐˜ฝ๐™€๐™‚๐™„๐™‰๐™‰๐™€๐™ ๐™‡๐™€๐™‘๐™€๐™‡ (1 ๐™ข๐™ค๐™ฃ๐™ฉ๐™): - NGS technologies & RNA-Seq workflows - Data extraction (GEO, TCGA, GDC) & metadata handling - Data cleaning, normalization & exploratory analysis (PCA, t-SNE) - Intro to differential gene expression ๐™„๐™‰๐™๐™€๐™๐™ˆ๐™€๐˜ฟ๐™„๐˜ผ๐™๐™€ ๐™‡๐™€๐™‘๐™€๐™‡ (2 ๐™ข๐™ค๐™ฃ๐™ฉ๐™๐™จ): - DGE with DESeq2 & visualization (volcano, MA plots) - Functional & pathway analysis (DAVID, Reactome, KEGG, GSEA) - Network analysis & visualization (Cytoscape, STRING) ๐˜ผ๐˜ฟ๐™‘๐˜ผ๐™‰๐˜พ๐™€๐˜ฟ ๐™‡๐™€๐™‘๐™€๐™‡ (3 ๐™ข๐™ค๐™ฃ๐™ฉ๐™๐™จ): - Machine learning for RNA-Seq - Introduction to single-cell RNA-Seq (Seurat, Cell Ranger) - Clustering, annotation & functional insights at single-cell level โœจ By the end, youโ€™ll gain hands-on experience in transcriptomics workflows and the confidence to apply them in cutting-edge biomedical research. ๐Ÿ”— ๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ ๐ญ๐จ ๐š๐œ๐œ๐ž๐ฌ๐ฌ ๐ญ๐ก๐ž ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž ๐œ๐ฎ๐ซ๐ซ๐ข๐œ๐ฎ๐ฅ๐ฎ๐ฆ ๐š๐ง๐ ๐ซ๐ž๐œ๐ž๐ข๐ฏ๐ž ๐š๐ฌ๐ฌ๐ข๐ฌ๐ญ๐š๐ง๐œ๐ž ๐Ÿ๐ซ๐จ๐ฆ ๐จ๐ฎ๐ซ ๐ญ๐ž๐š๐ฆ: https://forms.gle/Bz6HndM8pXyZvBvs9 #RNASeq #Bioinformatics #Transcriptomics #Research #GEO #GeneExpression #TCGA #GDC #Coding #R #Programming #Certification #SingleCell #DataAnalysis #Cytoscape #String #Reactome #Seurat #CellRanger #KEGG #GSEA
#Ggplot2 Data Visualization R Reel by @syngenai_ml - Ever wondered how Biology and Computer Science collide? ๐Ÿงฌ๐Ÿ’ป โ€‹At @syngenai_ml, we believe that computational thinking is central to understanding lif
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@syngenai_ml
Ever wondered how Biology and Computer Science collide? ๐Ÿงฌ๐Ÿ’ป โ€‹At @syngenai_ml, we believe that computational thinking is central to understanding life. Bioinformatics is more than just dataโ€”it's about building tools that make sense of genomics and proteomics to drive real-world impact. โ€‹Building a tool isn't just about the code; itโ€™s a journey: ๐Ÿ“ The Roadmap: Concept โžก๏ธ Wishlist โžก๏ธ Logical Overview โžก๏ธ Code โžก๏ธ Deploy. ๐Ÿ› ๏ธ The Toolkit: We rely on the heavy hitters like Pandas, Scikit-Learn, and Streamlit to turn models into accessible web apps. โ€‹Why build? Because models shouldn't just sit in papersโ€”they should be reproducible and accessible to millions. โ€‹ ๐Ÿ‘‰๐ŸปSave this post for your next project! ๐Ÿ‘‰๐ŸปShare it with a friend who's learning ML. ๐Ÿ‘‰๐ŸปFollow @SynGenAI_ML for more daily insights into Al and data science. #syngenai_ml #bioinformatics #datascience #pythonprogramming #genomics
#Ggplot2 Data Visualization R Reel by @omics_logic - ๐Ž๐ฆ๐ข๐œ๐ฌ๐‹๐จ๐ ๐ข๐œ ๐“๐ซ๐š๐ง๐ฌ๐œ๐ซ๐ข๐ฉ๐ญ๐จ๐ฆ๐ข๐œ๐ฌ ๐Ÿ๐จ๐ซ ๐๐ข๐จ๐ฆ๐ž๐๐ข๐œ๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ - redesigned to help you master transc
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@omics_logic
๐Ž๐ฆ๐ข๐œ๐ฌ๐‹๐จ๐ ๐ข๐œ ๐“๐ซ๐š๐ง๐ฌ๐œ๐ซ๐ข๐ฉ๐ญ๐จ๐ฆ๐ข๐œ๐ฌ ๐Ÿ๐จ๐ซ ๐๐ข๐จ๐ฆ๐ž๐๐ข๐œ๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ โ€” redesigned to help you master transcriptomic data analysis with open-source tools and technologies. ๐Ÿ”ฌ From the fundamentals of NGS to advanced single-cell RNA-Seq, this program is structured to take you step-by-step through real-world biomedical applications. ๐Ÿ“š ๐‚๐ฎ๐ซ๐ซ๐ข๐œ๐ฎ๐ฅ๐ฎ๐ฆ ๐Ž๐ฏ๐ž๐ซ๐ฏ๐ข๐ž๐ฐ: ๐˜ฝ๐™€๐™‚๐™„๐™‰๐™‰๐™€๐™ ๐™‡๐™€๐™‘๐™€๐™‡ (1 ๐™ข๐™ค๐™ฃ๐™ฉ๐™): - NGS technologies & RNA-Seq workflows - Data extraction (GEO, TCGA, GDC) & metadata handling - Data cleaning, normalization & exploratory analysis (PCA, t-SNE) - Intro to differential gene expression ๐™„๐™‰๐™๐™€๐™๐™ˆ๐™€๐˜ฟ๐™„๐˜ผ๐™๐™€ ๐™‡๐™€๐™‘๐™€๐™‡ (2 ๐™ข๐™ค๐™ฃ๐™ฉ๐™๐™จ): - DGE with DESeq2 & visualization (volcano, MA plots) - Functional & pathway analysis (DAVID, Reactome, KEGG, GSEA) - Network analysis & visualization (Cytoscape, STRING) ๐˜ผ๐˜ฟ๐™‘๐˜ผ๐™‰๐˜พ๐™€๐˜ฟ ๐™‡๐™€๐™‘๐™€๐™‡ (3 ๐™ข๐™ค๐™ฃ๐™ฉ๐™๐™จ): - Machine learning for RNA-Seq - Introduction to single-cell RNA-Seq (Seurat, Cell Ranger) - Clustering, annotation & functional insights at single-cell level โœจ By the end, youโ€™ll gain hands-on experience in transcriptomics workflows and the confidence to apply them in cutting-edge biomedical research. ๐Ÿ”— ๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ ๐ญ๐จ ๐š๐œ๐œ๐ž๐ฌ๐ฌ ๐ญ๐ก๐ž ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž ๐œ๐ฎ๐ซ๐ซ๐ข๐œ๐ฎ๐ฅ๐ฎ๐ฆ ๐š๐ง๐ ๐ซ๐ž๐œ๐ž๐ข๐ฏ๐ž ๐š๐ฌ๐ฌ๐ข๐ฌ๐ญ๐š๐ง๐œ๐ž ๐Ÿ๐ซ๐จ๐ฆ ๐จ๐ฎ๐ซ ๐ญ๐ž๐š๐ฆ: https://forms.gle/Bz6HndM8pXyZvBvs9 #RNASeq #Bioinformatics #Transcriptomics #Research #GEO #GeneExpression #TCGA #GDC #Coding #R #Programming #Certification #SingleCell #DataAnalysis #Cytoscape #String #Reactome #Seurat #CellRanger #KEGG #GSEA
#Ggplot2 Data Visualization R Reel by @bruhaspathi.in - Still running basic bioinformatics commands? It's time to level up. At Bruhaspathi Institute of Biosciences (BIB), we don't just teach tools - we t
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@bruhaspathi.in
Still running basic bioinformatics commands? Itโ€™s time to level up. At Bruhaspathi Institute of Biosciences (BIB), we donโ€™t just teach tools โ€” we train you to think like a computational biologist. ๐Ÿค– Learn Gene Expression with AI [Price: Rs 500/-] 21/02/2026 10 AM - 12 PM ๐Ÿ”ฌ Compare GATK vs DeepVariant [Price: Rs 250/-] 17/02/2026 7 PM - 8 PM ๐Ÿงฌ Master Differential Gene Expression [Price: Rs 350/-] 18/02/2026 - 20/02/2026 5 PM - 6 PM ๐Ÿงช Build skills in Homology Modeling [Price: Rs 350/-] 18/02/2026 - 20/02/2026 7 PM -8 PM ๐Ÿงซ Execute a complete Mothur Pipeline [Price: Rs 500/-] 16/02/2026 - 20/02/2026 5 PM - 6 PM ๐Ÿ“… Starts from 16th Feb 2026 Live Skill-Based Sessions Decode Data. Discover Insights. Lead in Bioinformatics. Register at: https://lnkd.in/gyX2GDxy #Bioinformatics #NGS #AIinBiology #Genomics #BIB #SkillDevelopment #LifeSciences
#Ggplot2 Data Visualization R Reel by @data_indna - Unlock the Power of Bioinformatics & Data Science with DATA in DNA Are you ready to transform biological data into powerful insights? At DATA in DNA,
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@data_indna
Unlock the Power of Bioinformatics & Data Science with DATA in DNA Are you ready to transform biological data into powerful insights? At DATA in DNA, we specialize in Bioinformatics, R Programming, Genomics Data Analysis, and Computational Biology solutions. ๐Ÿ”ฌ Learn. Analyze. Innovate. ๐Ÿ“Š Practical Skills for Real-World Research ๐Ÿ’ก Empowering Future Scientists & Data Experts Stay connected and grow with us! ๐Ÿ“˜ Facebook: https://www.facebook.com/dataindna ๐Ÿ“ธ Instagram: https://www.instagram.com/data_indna/ ๐Ÿ’ผ LinkedIn: https://www.linkedin.com/company/dataindna โ–ถ๏ธ YouTube: https://www.youtube.com/@DataInDNA Follow us for updates, course launches, and expert insights in Bioinformatics & Data Science. #dataindna #bioinformatics #rprogramming #genomics #computationalbiology #datascience
#Ggplot2 Data Visualization R Reel by @nanoschool.in - Master Bioinformatics with Python & R: Analyze Genomics, Transcriptomics, and Proteomics Data. ๐Ÿ“ฉ info@nstc.in #bioinformatics #pythonforbioinformat
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@nanoschool.in
Master Bioinformatics with Python & R: Analyze Genomics, Transcriptomics, and Proteomics Data. ๐Ÿ“ฉ info@nstc.in #bioinformatics #pythonforbioinformatics #datascience #genomics #nstc
#Ggplot2 Data Visualization R Reel by @omics_logic - ๐Ÿšจ๐‹๐š๐ฌ๐ญ ๐‚๐ก๐š๐ง๐œ๐ž ๐ญ๐จ ๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ - ๐Ž๐ง๐ฅ๐ฒ ๐Ÿ ๐ƒ๐š๐ฒ ๐‹๐ž๐Ÿ๐ญ!๐Ÿ’ป๐Ÿงฌ ๐Ÿ‘-๐ƒ๐š๐ฒ ๐‡๐š๐ง๐๐ฌ-๐Ž๐ง ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐–๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐๐ข๐จ๐ฆ๐š๐ซ๏ฟฝ
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@omics_logic
๐Ÿšจ๐‹๐š๐ฌ๐ญ ๐‚๐ก๐š๐ง๐œ๐ž ๐ญ๐จ ๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ โ€“ ๐Ž๐ง๐ฅ๐ฒ ๐Ÿ ๐ƒ๐š๐ฒ ๐‹๐ž๐Ÿ๐ญ!๐Ÿ’ป๐Ÿงฌ ๐Ÿ‘-๐ƒ๐š๐ฒ ๐‡๐š๐ง๐๐ฌ-๐Ž๐ง ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐–๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐๐ข๐จ๐ฆ๐š๐ซ๐ค๐ž๐ซ ๐ˆ๐๐ž๐ง๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐”๐ฌ๐ข๐ง๐  ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐ง. The sessions are designed to help participants work confidently with real gene expression data, guiding them from data preparation to model evaluation and biological interpretation. ๐Ÿ“Œ ๐–๐ก๐š๐ญ ๐˜๐จ๐ฎโ€™๐ฅ๐ฅ ๐‹๐ž๐š๐ซ๐ง - Fundamentals of biomarkers and supervised machine learning - Working with gene expression datasets in Python - Fundamentals of biomarkers and supervised machine learning - Building and evaluating ML models for biomarker discovery - Interpreting model outputs to identify biologically relevant biomarkers ๐–๐ก๐จ ๐’๐ก๐จ๐ฎ๐ฅ๐ ๐€๐ญ๐ญ๐ž๐ง๐: Life science students, bioinformatics and data science learners, and researchers interested in applying machine learning to omics and clinical data. ๐˜—๐˜บ๐˜ต๐˜ฉ๐˜ฐ๐˜ฏ ๐˜ง๐˜ข๐˜ฎ๐˜ช๐˜ญ๐˜ช๐˜ข๐˜ณ๐˜ช๐˜ต๐˜บ ๐˜ช๐˜ด ๐˜ฉ๐˜ฆ๐˜ญ๐˜ฑ๐˜ง๐˜ถ๐˜ญ ๐˜ฃ๐˜ถ๐˜ต ๐˜ฏ๐˜ฐ๐˜ต ๐˜ฎ๐˜ข๐˜ฏ๐˜ฅ๐˜ข๐˜ต๐˜ฐ๐˜ณ๐˜บ. ๐˜›๐˜ฉ๐˜ช๐˜ด ๐˜ธ๐˜ฐ๐˜ณ๐˜ฌ๐˜ด๐˜ฉ๐˜ฐ๐˜ฑ ๐˜ช๐˜ด ๐˜ด๐˜ถ๐˜ช๐˜ต๐˜ข๐˜ฃ๐˜ญ๐˜ฆ ๐˜ง๐˜ฐ๐˜ณ ๐˜ฃ๐˜ฆ๐˜จ๐˜ช๐˜ฏ๐˜ฏ๐˜ฆ๐˜ณ๐˜ด ๐˜ข๐˜ฏ๐˜ฅ ๐˜ญ๐˜ช๐˜ง๐˜ฆ ๐˜ด๐˜ค๐˜ช๐˜ฆ๐˜ฏ๐˜ค๐˜ฆ ๐˜ณ๐˜ฆ๐˜ด๐˜ฆ๐˜ข๐˜ณ๐˜ค๐˜ฉ๐˜ฆ๐˜ณ๐˜ด. ๐Ÿ”—๐‘ญ๐’๐’“ ๐’˜๐’๐’“๐’Œ๐’”๐’‰๐’๐’‘ ๐’…๐’†๐’•๐’‚๐’Š๐’๐’” ๐’‚๐’๐’… ๐’“๐’†๐’ˆ๐’Š๐’”๐’•๐’“๐’‚๐’•๐’Š๐’๐’: https://forms.gle/ZjUFx2Prf7GAeyam9 ๐Ÿ“… ๐ƒ๐š๐ญ๐ž: Feb 17 โ€“ Feb 19, 2026 ๐Ÿ•’ ๐“๐ข๐ฆ๐ž: 7:30 PM IST | 8:00 AM CST ๐Ÿ“ ๐‹๐จ๐œ๐š๐ญ๐ข๐จ๐ง: Online ๐Ÿ”„ Share this post with colleagues who may be interested in biomarker discovery and machine learning applications in biology. #BiomarkerDiscovery #MachineLearning #Python #Bioinformatics #Omics
#Ggplot2 Data Visualization R Reel by @omics_logic - ๐Ÿ’ป๐Ÿงฌ ๐Ÿ‘-๐ƒ๐š๐ฒ ๐‡๐š๐ง๐๐ฌ-๐Ž๐ง ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐–๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐๐ข๐จ๐ฆ๐š๐ซ๐ค๐ž๐ซ ๐ˆ๐๐ž๐ง๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐”๐ฌ๐ข๐ง๐  ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๏ฟฝ
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@omics_logic
๐Ÿ’ป๐Ÿงฌ ๐Ÿ‘-๐ƒ๐š๐ฒ ๐‡๐š๐ง๐๐ฌ-๐Ž๐ง ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐–๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐๐ข๐จ๐ฆ๐š๐ซ๐ค๐ž๐ซ ๐ˆ๐๐ž๐ง๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐”๐ฌ๐ข๐ง๐  ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐ง. The sessions are designed to help participants work confidently with real gene expression data, guiding them from data preparation to model evaluation and biological interpretation. ๐Ÿ“Œ ๐–๐ก๐š๐ญ ๐˜๐จ๐ฎโ€™๐ฅ๐ฅ ๐‹๐ž๐š๐ซ๐ง - Fundamentals of biomarkers and supervised machine learning - Working with gene expression datasets in Python - Fundamentals of biomarkers and supervised machine learning - Building and evaluating ML models for biomarker discovery - Interpreting model outputs to identify biologically relevant biomarkers ๐–๐ก๐จ ๐’๐ก๐จ๐ฎ๐ฅ๐ ๐€๐ญ๐ญ๐ž๐ง๐: Life science students, bioinformatics and data science learners, and researchers interested in applying machine learning to omics and clinical data. ๐˜—๐˜บ๐˜ต๐˜ฉ๐˜ฐ๐˜ฏ ๐˜ง๐˜ข๐˜ฎ๐˜ช๐˜ญ๐˜ช๐˜ข๐˜ณ๐˜ช๐˜ต๐˜บ ๐˜ช๐˜ด ๐˜ฉ๐˜ฆ๐˜ญ๐˜ฑ๐˜ง๐˜ถ๐˜ญ ๐˜ฃ๐˜ถ๐˜ต ๐˜ฏ๐˜ฐ๐˜ต ๐˜ฎ๐˜ข๐˜ฏ๐˜ฅ๐˜ข๐˜ต๐˜ฐ๐˜ณ๐˜บ. ๐˜›๐˜ฉ๐˜ช๐˜ด ๐˜ธ๐˜ฐ๐˜ณ๐˜ฌ๐˜ด๐˜ฉ๐˜ฐ๐˜ฑ ๐˜ช๐˜ด ๐˜ด๐˜ถ๐˜ช๐˜ต๐˜ข๐˜ฃ๐˜ญ๐˜ฆ ๐˜ง๐˜ฐ๐˜ณ ๐˜ฃ๐˜ฆ๐˜จ๐˜ช๐˜ฏ๐˜ฏ๐˜ฆ๐˜ณ๐˜ด ๐˜ข๐˜ฏ๐˜ฅ ๐˜ญ๐˜ช๐˜ง๐˜ฆ ๐˜ด๐˜ค๐˜ช๐˜ฆ๐˜ฏ๐˜ค๐˜ฆ ๐˜ณ๐˜ฆ๐˜ด๐˜ฆ๐˜ข๐˜ณ๐˜ค๐˜ฉ๐˜ฆ๐˜ณ๐˜ด. ๐Ÿ”—๐‘ญ๐’๐’“ ๐’˜๐’๐’“๐’Œ๐’”๐’‰๐’๐’‘ ๐’…๐’†๐’•๐’‚๐’Š๐’๐’” ๐’‚๐’๐’… ๐’“๐’†๐’ˆ๐’Š๐’”๐’•๐’“๐’‚๐’•๐’Š๐’๐’: https://forms.gle/ZjUFx2Prf7GAeyam9 ๐Ÿ“… ๐ƒ๐š๐ญ๐ž: Feb 17 โ€“ Feb 19, 2026 ๐Ÿ•’ ๐“๐ข๐ฆ๐ž: 7:30 PM IST | 8:00 AM CST ๐Ÿ“ ๐‹๐จ๐œ๐š๐ญ๐ข๐จ๐ง: Online ๐Ÿ”„ Share this post with colleagues who may be interested in biomarker discovery and machine learning applications in biology. #BiomarkerDiscovery #MachineLearning #Python #Bioinformatics #Omics

โœจ #Ggplot2 Data Visualization R Discovery Guide

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