Vincent Laufer, MD, PhD
{ Clinical, Bio } Informatics; PanGenomics
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Hello clinical informatics colleagues,Does anyone have a table schema (any #SQL format is fine) that houses #NGS data + OGM data, or NGS + OGM + 3GS (3rd generation sequencing). I would adore the chance to see the before and after (or just the after) merge table schema (just the portions altered more than fine too!).Just looking for inspiration on how to build our schema up to handle multiple data types efficiently - thank you!#DataModel #Omics
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SolusCell
314 followers
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๐ฑ This recent study integrated data from multiple Arabidopsis root single-cell datasets - more cell mean more accurate expression profiles and powerful cell-specific co-expression network analysis. ๐คฏ โก Check it out at https://lnkd.in/eV9vrcyrSingle-cell data integration remains one of the most challenging problems in single-cell genomics. To help our SolusCell clients address that problem, we created a web based application that allows you to easily integrate samples using different strategies, without knowledge of any computer language or R.The SolusCell app is part of the tools that we make available to our clients to simplify their data analysis.โก To learn more about what we offer, check us out at http://www.soluscell.com#singlecell #singlecellanalysis #plantgenomics
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Ruth Barral Arca
Data Scientist | Bioinformatician | R and Python programmer
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VCF files are currently the standard for storing variation data. But working with Big VCF files can be challenging for those without much bioinformatics experience.Just stumbled upon a helpful blog post that provides tips and commandsโ a valuable resource for anyone navigating through VCF data! #DataAnalysis #Bioinformatics #VCFQuerying"https://lnkd.in/dNbr9Znc
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Mikhail Kamalov
PhD, Deep Learning Engineer
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Excited to share my Medium publication, where I delve into single-cell analysis specifically tailored for data scientists. ๐งฌThe first part of the Cell Clustering Novice's Guide is live, exploring cellular heterogeneity.๐ค Join me in uncovering insights and navigating the Scanpy library on a comprehensive beginner's journey in single-cell analysis!๐ #SingleCellAnalysis #DataScience #CellClustering
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BioinfoXpert
544 followers
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๐งฌ๐๐จ ๐ฒ๐จ๐ฎ ๐ค๐ง๐จ๐ฐ ๐ก๐จ๐ฐ ๐ญ๐จ ๐๐ง๐๐ฅ๐ฒ๐ณ๐ ๐๐๐ ๐๐๐ญ๐?There was a researcher name "Jene".He spent $100's on NGS.Later, he tried to do its analysis and did not get what he expected.His supervisor was very disappointed from you.๐ซ๐๐ ๐๐๐ ๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐๐?Then you are at the right place!!BioinfoXpert has all experties and capable team to help you in your data analysis.๐ contact us now.๐ง contact@bioinfoxpert.de๐ https://bioinfoxpert.de/ We have solution to all your bioinformatics problems. ๐____________________________________________๐ ๐ ๐จ๐ฎ๐ง๐ ๐ญ๐ก๐ข๐ฌ ๐ฉ๐จ๐ฌ๐ญ ๐ก๐๐ฅ๐ฉ๐๐ฎ๐ฅRepost โก๏ธ to spread the good word.Follow us and stay in touch with our updates.____________________________________________
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Behrouz Mirabdi
Medical Data Scientist, Bioinformatician, Deep Learning Professional
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๐งฌ Master FASTQ Files: The Backbone of NGS Data Analysis! ๐งฌExcited to share my newest deep dive into FASTQ files โ the fundamental format for Next-Generation Sequencing (NGS) data!In this detailed video, you'll uncover everything you need to know about FASTQ files, including:๐ The vital role FASTQ plays in NGS workflows๐ How to read and interpret FASTQ file structures๐ Key differences between FASTQ and FASTA formats๐ Understanding sequence identifiers and Phred quality scores๐ The impact of Flow Cell Lanes in Illumina sequencing๐ Top quality control tools: FastQC, MultiQC, and FastQE๐ฅ Watch now: https://lnkd.in/eYieV_Apโจ Whether you're new to bioinformatics or an experienced professional, this video is a must-watch for anyone looking to deepen their understanding of FASTQ files and enhance their NGS data analysis skills.๐ฌ What's your biggest challenge when working with NGS data? Share your thoughts below and let's discuss!#RNASeq #Bioinformatics #FASTQ #NGS #Genomics #DataScience
Mastering FASTQ Files: The Ultimate Guide to NGS Data and Quality Control https://www.youtube.com/
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Nostos Genomics
4,775 followers
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๐ Weโre thrilled to announce that in our next product release, we will be introducing our secondary analysis service integrated with AION - Our AI-powered variant interpretation tool ๐ฌ๐ Simplify your workflow, reduce manual processes, and focus on what matters most โ interpretation and discovery ๐ Secondary Analysis (FASTQ to VCF) with AIONโs integrated secondary analysis pipeline ๐ Designed to give labs the data analysis speed they need to optimise the efficiency of processing their NGS data sets๐ฉ๐ฌ Curious to learn more? Check your eligibility and get early access to the platform https://lnkd.in/gSAUh8SJWant to discuss further? Arrange a call here https://lnkd.in/gE_GCvgp#GenomicResearch #VariantScientists #IntegratedAnalysis #WorkflowOptimization #SecondaryAnalysis #VariantAnalysis
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Mohsen Rastgoo Shahrestani
MSc Bioinformatics student | Eager to Learn from Real-world Challenges!
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๐จ๐ป๐งฌ๐Working on a RNA-seq data was a unique experience to embrace the world of Omics. The journey was full of opportunities to learn more which always fascinates me. We finished it after doing a lot of failures during programming, interpreting the results and redoing it from scratch. After all, we did a great job.#NGS #Biostatistics #R #Transcriptomics #Data_analysis
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Matrix Science
572 followers
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New overview of the Mascot workflow for LC-MS/MS data, including links to tutorials on peak picking, database searching and quantitation. #proteomics #MassSpec #MassSpectrometry
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๐ฏ Ming "Tommy" Tang
Director of Bioinformatics | Cure Diseases with Data | Author of From Cell Line to Command Line | Data Science | Educator | Cloud Computing | Dana-Farber | MD Anderson | Join 32K followers on Twitter @tangming2005
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How to finetune the cluster resolution in single cell RNAseq? Take a look at CHOIR, a new clustering method for single-cell data that evaluates whether clusters represent statistically distinct cell populations. CHOIR works with both single- and multi-omic data of any type. https://buff.ly/3vTqnjM The other tool called cellstate seems to take way too long called https://buff.ly/3R49mdF I will try this one out! I asked the author, and she said "It scales approx. linearly with the number of cells. CHOIR can be run on a normal laptop but it's highly parallelized, so efficiency improves a lot with more cores. I've found that data up to 500K cells runs in a few hours, and our goal is for 1M+ cells to run overnight! "Some time ago, I tried scSHC https://buff.ly/472nMlz and I was not convinced it performed well. #scRNAseq
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