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We’re always excited to see our learners growing beyond the classroom 🌟 From applying AI in drug discovery and bioinformatics to sharing knowledge with the community, it’s inspiring to watch profess
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By studying genetic alterations such as point mutations, copy number variations, insertions, deletions, and gene fusions, researchers can uncover the molecular drivers behind tumor development, progre
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Boxplots are a powerful way to summarize complex omics data in R 📊. They capture key features like the median, interquartile range, and overall data spread—giving a quick snapshot of distribution acr
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RNA-seq data analysis follows a rigorous pipeline designed to convert raw sequencing reads into reliable biological insight 🧬 Starting with FASTQ files, data undergoes quality control and trimming,
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Every NGS workflow speaks its own language, and that language is file formats 🧬 FASTA stores reference sequences. FASTQ carries raw reads + quality scores. SAM/BAM track how reads align to a genome.
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Once you’ve called variants, the real question begins: what do they mean? 🧬 Tools like VEP, ANNOVAR, and SnpEff turn raw VCF files into biological insight—annotating variants with gene impact, clini
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Alpha diversity in metagenomics captures the richness and evenness of microbial life within a single sample. 🌱 It reveals not just how many species are present, but how balanced their abundances are.
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The 𝑪𝒆𝒏𝒕𝒓𝒂𝒍 𝑫𝒐𝒈𝒎𝒂 𝒐𝒇 𝑴𝒐𝒍𝒆𝒄𝒖𝒍𝒂𝒓 𝑩𝒊𝒐𝒍𝒐𝒈𝒚 outlines the flow of genetic information from DNA to RNA to protein. Each step in this process has its corresponding "omics" field:
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🔥 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝐆𝐢𝐭𝐡𝐮𝐛 𝐟𝐨𝐫 𝐁𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬! 🔥 From basic version control to creating community-driven bioinformatics tools using Lar
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𝑳𝒂𝒖𝒏𝒄𝒉𝒊𝒏𝒈 𝒏𝒐𝒘 🚀 𝟐-𝐏𝐚𝐫𝐭 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐒𝐞𝐫𝐢𝐞𝐬: 𝐏𝐲𝐭𝐡𝐨𝐧-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐌𝐨𝐥𝐞𝐜𝐮𝐥𝐚𝐫 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 & 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 🧬🐍💻 This hands-on work
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🧬 𝟒-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐋𝐨𝐧𝐠 𝐍𝐨𝐧-𝐂𝐨𝐝𝐢𝐧𝐠 𝐑𝐍𝐀 (𝐥𝐧𝐜𝐑𝐍𝐀) 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨𝐦𝐚𝐫𝐤𝐞𝐫 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲! Long non-cod
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🌟Join 𝟒-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝐑𝐍𝐀-𝐒𝐞𝐪 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: 𝐅𝐫𝐨𝐦 𝐑𝐚𝐰 𝐑𝐞𝐚𝐝𝐬 𝐭𝐨 𝐁𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 Join our Summer Workshop
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About @omics_logic

OmicsLogic | Bioinformatics & Data Science is a Instagram nano influencer in the Education category. With 7.4K followers and 12 posts, omics_logic's account shows a follower-to-following ratio of 14.9:1. View all content anonymously on Pictame - no login required.

omics_logic's engagement rate sits at 0.04%. For accounts with 1K-10K followers, the average is around 5%, so there's some room to grow — though every community is unique.

Out of the last 12 posts, 42% are videos and 58% are photos. Notably, videos tend to get 1.8x more engagement than photos. Captions lean detailed, averaging 1472 characters.

0.04% engagement rate — room to grow compared to average for 1K-10K follower accounts.
42% videos, 58% photos. Videos get 1.8x more engagement here.
14.9:1 follower-to-following ratio.

FAQs About @omics_logic

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omics_logic
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@omics_logic

OmicsLogic | Bioinformatics & Data Science

PublicEducation
Posts
12
Followers
7.4K
Top Hashtags
#Bioinformatics#NGS#OmicsLogic#Transcriptomics#DrugDiscovery#DataScience#RNASeq#ClinicalGenomics

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

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Engagement
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We offer bioinformatics and data science #training & #internships, #research services 📧communication@omicslogic.com. Al...

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