Genomics | Data Science https://validator.w3.org/feed/docs/rss2.html 0 Building a real-time big data pipeline 1 : Kafka, RESTful, Java Building a real-time big data pipeline 10: Spark Streaming, Kafka, Java Building a real-time big data pipeline 8: Spark MLlib, Regression, R Building a real-time big data pipeline 9: Spark MLlib, Regression, Python About Ashok R. Dinasarapu Ph.D Biocuration Home A multi-tiered RNA-seq analyses approach to clinical diagnosis of a genetic disease Single cell gene expression data analysis on Cluster : 10X Genomics, Cell Ranger Copy number variation discovery workflows using NGS data Quality control for GWAS studies eQTL analysis of RNA-seq data Genomic variants from RNA-seq data RNA-Seq : raw reads to differential expression ATAC-seq peak calling with MACS2 Spatial gene expression data analysis on Cluster : 10X Genomics, Space Ranger Annotation of genetic variants Transcriptomics Genomics Omics Taxonomic and functional profiling of the microbiome – whole genome shotgun metagenomics Taxonomic and diversity profiling of the microbiome : 16S rRNA gene amplicon sequence data Microbiome Quantitative proteomics: label-free quantitation of proteins Quantitative proteomics : TMT-based quantitation of proteins Proteomics Big Data Building a real-time big data pipeline 6: Spark Core, Hadoop, SBT BigData Building a real-time big data pipeline 7 : Spark MLlib, Regression, Java Building a real-time big data pipeline 2 : Spark Core, Hadoop, Scala Building a real-time big data pipeline 4 : Spark Streaming, Kafka, Scala Building a real-time big data pipeline 3 : Spark SQL, Hadoop, Scala Building a real-time big data pipeline 5 : NoSQL, Java Services Edit Profile Register List style Justified style Grid style Masonry style