The Hyve’s Post

🔬🦠 Got questions about microbial (omics) data? The NFDI4Microbiota Helpdesk is here to help! Whether you're a student, researcher, or data steward, our team of experts is ready to assist you with all your microbial data needs. 🧬💻 We cover a wide range of topics, including: • NFDI4Microbiota services like ARUNA, StrainInfo, and VirJenDB • Research Data Management (RDM) and platforms like Coscine • FAIR Data Principles and metadata standards • Data Management Plans (DMPs) and tools like RDMO • Electronic Lab Notebooks (ELNs) such as eLabFTW and eLabJournal • Reproducible data analysis using bash, Python, R, and workflow management systems • Data discovery, reuse, and licensing • Upcoming training events and on-demand resources Reach out to us through our contact form (https://lnkd.in/eMu3RpWn) or email us at helpdesk[at]nfdi4microbiota.de. We're excited to support your research! 🚀🔍 #Microbiology #DataScience #ResearchSupport #NFDI4Microbiota

I am excited to launch our module GMS6907: Applied Bioinformatics and Omics Data Analysis, starting 15 August 2024. This module is composed of 18 sessions conducted over 9 weeks, aimed to equip students and research staff with the essential fundamentals to conduct independent big data analysis. This will be our 3rd year conducting this module, and glad that most students taking this module in the past have found the content useful and interesting. I am grateful to have Justin Ooi and Clara Koh to help conduct the practical sessions, and ensuring that the participants can execute the bioinformatics workflows and codes swiftly and smoothly. This year, I am privileged to have Lakshmi Alagappan, who will also help out with the practical sessions and provide some of her unique insights on machine learning. To encourage participants to share their thoughts and perspectives on various data science topics, I am also planning to try out Padlet, which allows users to post their feedback via an online platform. In addition, there will be more practical sessions and opportunities for participants to collaborate and learn from each other in solving data science research questions. Finally, due to increasing use of RNAseq in omics data analysis, we are including the basic bioinformatics theory, concepts, workflows and tools that are essential for RNAseq analysis. Attaching the timetable below for the topics covered in this upcoming module. If there’s anyone interested in attending any of these lessons, please let me know! If there are any vacancies, we will happily slot you in. #OmicsResearch #Education #bioinformatics #datascience

𝐓𝐚𝐬𝐤 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭: 𝐀𝐧𝐚𝐥𝐲𝐳𝐢𝐧𝐠 𝐑𝐍𝐀𝐜𝐞𝐧𝐭𝐫𝐚𝐥 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐒𝐐𝐋 🧬 As part of my fellowship at Bytewise Limited, I tackled an exciting challenge involving the analysis of RNAcentral data using SQL. This task aimed to explore and answer specific questions related to RNA structures, pre-computed RNA records, and sequence regions, ultimately supporting data-driven decision-making. You can explore the methodology, SQL queries, and results in the presentation attached below. 💡 𝐖𝐡𝐚𝐭 𝐈 𝐋𝐞𝐚𝐫𝐧𝐞𝐝: - Enhanced SQL querying skills with real-world RNA data. - Deepened understanding of RNA data structures and databases. - Improved ability to derive insights and make data-driven decisions. #SQL #DataAnalysis #Bioinformatics #RNAcentral #BytewiseFellowship #100DaysofByte

I am excited to share that I have just completed the "Comprehensive Guide to Basic Tools in Bioinformatics" course on #Udemy taught by the exceptional instructor Shahroz Rahman This course has been an incredible journey, diving deep into the fundamental tools and techniques in bioinformatics. From sequence alignment to data analysis and visualization, I have gained valuable skills and knowledge that I am eager to apply in real-world scenarios. Key highlights of the course include: 🌟Understanding Bioinformatics Tools: Learning about essential bioinformatics software and their applications. 🌟Sequence Alignment: Mastering techniques for aligning biological sequences. 🌟Database Retrieval and Analysis: Learning to retrieve and analyze data using several databases including #NCBI, #UniProt, #PDB, #KEGG, #Expasy, as well as #specialized databases like #FlyBase, #Galaxy, #RGD, #Ribosomal Database Project, #HIV Sequence Database, #Rfam, and #miRBase. 🌟Data Retrieval Strategies: Exploring various strategies for effective data retrieval and troubleshooting database querying issues. Completing this course was time well spent, and I am enthusiastic about applying these learnings in my field. I highly recommend this course to anyone passionate about learning biological data analysis. The instructor's teaching style is unique, clear, and highly understandable. You can apply for this course by using the following link. https://lnkd.in/d2KaNYzW #Bioinformatics #DataAnalysis #LifelongLearning #Udemy #ProfessionalDevelopment #BioinformaticsTools

I've just completed another course: "BIOINFORMATICS FOR BIOLOGISTS: ANALYSING AND INTERPRETING GENOMICS DATASETS," offered by Wellcome Connecting Science, and I'd like to share the key points I've learned over the three weeks of training. In the first week, we began by setting up the environment using Conda, which allows the use of numerous tools in an isolated manner. I revisited some concepts such as quality control with tools like FastQC and MultiQC, trimming, the history of sequencing, mapping to the reference genome, and variant calling, culminating in obtaining the VCF file as the final result. In the second week, we delved deeper into pipeline management, with a focus on Nextflow. I had prior experience with Snakemake, appreciating its ability to develop pipelines more automatically, and it was highly enriching to learn about Nextflow. Pipeline managers play a crucial role in process automation and enable the application of FAIR (Findable, Accessible, Interoperable, and Reusable) best practices to data. I also had the opportunity to discover the amazing nf-core project (https://nf-co.re/), which offers various pipelines and valuable content for those looking to delve deeper into the subject. Last but not least, we learned about downstream analyses using R. We explored how to analyze this data both statistically and visually, creating beautiful and representative graphs, especially with packages like ggplot2, dplyr, and Tidyverse. I work on developing pipelines for genomic data analysis, and this learning will contribute significantly. I'm also gradually adding the projects I'm working on to my GitHub (https://lnkd.in/dG63ya6W) to document and share knowledge. This course was an extremely valuable learning experience. Bioinformatics plays a fundamental role in genomic data analysis. I would like to express my gratitude to Wellcome Connecting Science and the course instructors for providing this learning opportunity! #Bioinformatics #Genomics #WellcomeConnectingScience #LearningJourney #Pipelines

Register to the new BioNT workshop on "Practical introduction to bioinformatics and RNA-seq using Galaxy" #usegalaxy #galaxyproject #gtn

🌟 Excited to share the latest in OMICS data analysis at the One Week Virtual Workshop by NyBerMan Bioinformatics. Dive deep into cutting-edge techniques and applications. Early Bird Special ends on 31st Dec 2023. Learn more and register now! #OMICS #DataAnalysis #Bioinformatics #ThoughtLeadership

Click this link to register for Next-Gen Sequencing Research Oriented Course: https://lnkd.in/d9-B7T26 This course offers a journey into cutting-edge research, fostering discovery, innovation, and exploration. Immerse yourself in the world of genomic research with hands-on and interactive online sessions. Equip yourself with essential skills and become a catalyst for groundbreaking advancements. Topics Covered: *Overview of Bioinformatics, Its Scope, and Emerging Opportunities *Understanding tools & databases (GenBank, KEGG, BLAST, PDB, PubMed) *Understanding alignment tool [BLAST, Mega] for big data - Pairwise Alignment, Multiple Sequence Alignment, *Linux and cloud computing (AWS basics) *Mastering Python: Beyond the Basics *From Basics to Advanced R Programming *DNASeq (Denovo and Reference-based), Annotation *RNASeq (Denovo and Reference-based) *Single Cell-RNASeq Data Analysis *Microarray data analysis *A project built upon the subjects studied above #Certificate will be provided at the end of course ✔Project ✔Guidance for Research Publication in Scopus indexed Journal Visit us at: www.dromicslabs.com Follow Us On: Instagram: https://lnkd.in/dTsv2FjG Facebook: https://lnkd.in/gjFh8uKr LinkedIn: https://lnkd.in/gNNCat63 Youtube: https://lnkd.in/gdnZdTHk #bioinformatics #ngs #dna #sequencing #genomics #genetics #rna #protein #nextgeneration #registernow #biotechnology #decode #lifescience #microbiology #skilldevelopment #onlinecourse #handson #training #career #research #project #training #students

I'm excited to announce that I've successfully completed a comprehensive course on bioinformatics from basic to advanced levels in December 2023. Equipped with cutting-edge skills in data analysis and so many others, I'm eager to apply this knowledge to drive innovation in the field. #bioinformatics #datascience #continuouslearning