Hammad Bashir Khan’s Post

Calling my bioinformatics, computational, and data friends: What would the advantage be to this new SNP-based triploid detection method vs flow cytometry? New preprint from French researchers describes a new bioinformatics tool in R to call triploids from SNP arrays. It's clearly cheaper to run an Array than to invest 40K+ on a flow cytometer. Any of my connections that run Arrays or sequencing want to work with me to set up a commercial ploidy test with all the buzz about triploids? Hit me up. #BetterCannabisThroughScience This is the kind of thing I do.

RNA-Seq generates an enormous amount of data, which can be difficult to analyze. Receive the insights you need to support your scientific discoveries with custom bioinformatics analysis of your transcriptomics data. Explore our RNA-Seq solutions: https://hubs.ly/Q02TQgTb0 #RNASeq #Transcriptomics #GeneExpression #Bioinformatics #DataAnalysis

🌟#notablepaper on New Computer Technologies for Bioinformatics 📚Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction 🔗https://lnkd.in/eGN-v6VP 👨🔬By Prof. Kil To Chong et al MDPI Jeonbuk National University #computertechnologies #Bioinformatics #insilico #drugdiscovery #artificialintelligence #machinelearning #deeplearning

I am happy to share that I have successfully completed a two-day Online Workshop on "Bioinformatics and Molecular Docking: Application in drug discovery" organised by NextGen Life Sciences. Key concepts covered in this workshop were; 💻 Introduction and Applications of Bioinformatics 🧬 Sequence Alignment ⚛️ Molecular docking 💊 Drug discovery One of the interesting things learnt in this workshop was the use of different software for visualising the docking result, which was an entirely new thing to me. Hoping to attend more of these workshops and enhance my skills. #bioinformatics #moleculardocking #Researchinlifesciences #Nextgenlifesciences

Follow my Introductory Bioinformatics Series on YouTube here https://lnkd.in/dgc6SdX6

Scientists present #MultiMM, a fast and accessible #chromatin modeling tool. It generates whole-genome structures in minutes, enhancing bioinformatics research capabilities. Quick Read: https://lnkd.in/gn29sfbD #Bioinformatics #ChromatinDynamics #GenomeModeling #sciencenews

𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐭𝐡𝐞𝐫𝐚𝐩𝐞𝐮𝐭𝐢𝐜 𝐩𝐞𝐩𝐭𝐢𝐝𝐞𝐬 𝐮𝐬𝐢𝐧𝐠 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 A recent review published in Briefings in Bioinformatics (https://lnkd.in/gRz2EkFw) proposes a comprehensive AI-assisted peptide design and validation pipeline. This article comprises the following points: • Starts with the properties of the functional peptides and its availabilities (Databases, repositories etc.) • Proposes machine learning strategies for peptide studies. • Focuses on generative learning to design therapeutic peptides. • The most common problems and challenges associated with it. #DrugDiscovery #Peptidedrugs #BriefingsinBioinformatics #Bioinformatics #JournalAlert #BioCogniz

Attending the Festival of Genomics and Biodata? Us too! Visit us today at Booth 77 to learn how bioinformatics can help you overcome drug development research challenges!#FOGBoston #drugdevelopment

Mash is a bioinformatics tool for fast genome and metagenome similarity estimation using MinHash-based k-mer comparisons. For example, to find reads in a second FASTQ file that overlaps at least 10 bases with reads from the first file: ``` mash sketch -k 10 -o query first.fastq mash screen query.msh second.fastq > matches.tаb ``` https://lnkd.in/gu_KErQD #metagenomics #bioinformatics

Welcome to read highly cited papers in Web of Science of Metabolites: “Guide to Metabolomics Analysis: A Bioinformatics Workflow” by Yang Chen, En-Min Li, and Li-Yan Xu is fully available here: https://lnkd.in/gFiXmc3Q #metabolomics #metabolomicsanalysistools #metabolicpathways #multiomicsintegrationalgorithms