Middle East & Africa NGS Market - Opportunity Analysis And Industry Forecast
Middle East & Africa NGS Market by Offering (Kits [Library Prep, QC, DNA Extraction], System) Type (Genome, Exome, Targeted), Application (Reproductive, Oncology, Infectious, Drug Discovery), Technology (SBS, Nanopore, Nanoball, SMRT Seq) \u2013 Forecast to 2031\n
7 views • 4 slides
Analyzing scRNA-seq Data Using Seurat: Practical Session Overview
Explore the practical steps involved in analyzing single-cell RNA sequencing (scRNA-seq) data with Seurat in this informative session. Learn how to install R and essential packages, download example datasets, understand raw data files, load data into R-Studio, and access data within a Seurat object.
3 views • 19 slides
Europe's NGS Market to Reach $6.40 Billion by 2030
Meticulous Research\u00ae\u2013 a leading global market research company, published a research report titled \n\"Europe NGS Market by Offering (Kits [Library Prep, QC, DNA Extraction], System), Type (Genome, Exome, Targeted),\n Application (Reproductive, Oncology, Infectious, CVD, Drug Discovery), \
0 views • 3 slides
Europe's NGS Market to Reach $6.40 Billion by 2030
Meticulous Research\u00ae\u2013 a leading global market research company, published a research report titled \n\"Europe NGS Market by Offering (Kits [Library Prep, QC, DNA Extraction], System), Type (Genome, Exome, Targeted),\n Application (Reproductive, Oncology, Infectious, CVD, Drug Discovery), \
3 views • 3 slides
Asia-Pacific Next Generation Sequencing Market
Meticulous Research\u00ae\u2013 a leading global market research company, published a research report titled \n\"Asia-Pacific Next Generation Sequencing (NGS) Market by Offering (Kits [Library Prep, QC, DNA Extraction],\n System) Type (Genome, Exome, Targeted) Application (Reproductive, Oncology) Te
1 views • 3 slides
European NGS Market on Track to $6.40 Billion Milestone by 2030
Meticulous Research\u00ae\u2013 a leading global market research company, published a research report titled\n \"Europe NGS Market by Offering (Kits [Library Prep, QC, DNA Extraction], System), Type (Genome, \nExome, Targeted), Application (Reproductive, Oncology, Infectious, CVD, Drug Discovery), T
0 views • 3 slides
NGS Market in Europe Forecasted to Hit $6.40 Billion by 2030
Meticulous Research\u00ae\u2013 a leading global market research company, published a research report titled \n\"Europe NGS Market by Offering (Kits [Library Prep, QC, DNA Extraction], System), Type (Genome, Exome,\n Targeted), Application (Reproductive, Oncology, Infectious, CVD, Drug Discovery), T
0 views • 3 slides
Next Generation Sequencing Market in Asia-Pacific Aiming for $6.38 Billion Miles
Meticulous Research\u00ae\u2013 a leading global market research company, published a research report titled\n \"Asia-Pacific Next Generation Sequencing (NGS) Market by Offering (Kits [Library Prep, QC, DNA \nExtraction], System) Type (Genome, Exome, Targeted) Application (Reproductive, Oncology) Te
0 views • 3 slides
Bioinformatics for Genomics Lecture Series 2022 Overview
Delve into the Genetics and Genome Evolution (GGE) Bioinformatics for Genomics Lecture Series 2022 presented by Sven Bergmann. Explore topics like RNA-seq, differential expression analysis, clustering, gene expression data analysis, epigenetic data analysis, integrative analysis, CHIP-seq, HiC data,
0 views • 36 slides
Understanding Artefacts and Biases in Gene Set Analysis
Gene set enrichment tests help identify functional gene sets enriched in hit lists compared to background sets. Various biases (technical, biological, statistical) can lead to incorrect conclusions in data analysis, emphasizing the importance of recognizing and addressing them. Technical biases like
0 views • 29 slides
Transcriptomic Changes in Peripheral Blood Mononuclear Cells of International Space Station Crew Members
The study analyzed transcriptomic changes in peripheral blood mononuclear cells of International Space Station crew members. Blood samples were collected before and after spaceflight, and differentially expressed genes were identified using RNA-seq analysis. Several genes, including CDKN1A (p21) and
0 views • 12 slides
Understanding 10X Single Cell RNA-Seq Analysis
This content delves into the intricacies of analyzing 10X single-cell RNA-Seq data, covering topics such as how 10X RNA-Seq works, evaluating CellRanger QC reports, dimensionality reduction techniques like PCA, tSNE, and UMAP, using the Loupe cell browser, and frameworks for scRNA analysis in R. It
0 views • 39 slides
Understanding 10X Single-Cell RNA-Seq Data Analysis
Explore the intricacies of analyzing 10X Single-Cell RNA-Seq data, from how the technology works to using tools like CellRanger, Loupe Cell Browser, and Seurat in R. Learn about the process of generating barcode counts, mapping, filtering, quality control, and quantitation of libraries. Dive into di
0 views • 34 slides
Comprehensive Analysis of Gene Expression and Regulatory Potential Through eCLIP Profiles
Explore a thorough examination of gene expression and regulatory potential using eCLIP profiles, shRNA, RNA-Seq, secondary structure conservation, and prioritized genes. Uncover insights on users' variants, regulator scores, nucleotide scores, RBP rank lists, mutation burden, and more. Dive deep int
3 views • 10 slides
Understanding the Tophat2 RNA-seq Pipeline
Tophat2 is a versatile pipeline aimed at aligning RNA reads to a genome, addressing gaps in alignments through innovative strategies. It involves the use of Bowtie for mapping and is written in C++, with a Python wrapper for seamless execution. The pipeline deals with large datasets and requires var
0 views • 13 slides
Exploring RNA-Seq Read Mapping and Quantitation
Dive into the world of RNA-Seq expression analysis through topics such as read mapping, quantitation, and the challenges faced in short-read mapping. Discover the typical parameters, design pressures, and basic ideas behind suffix tree index construction for efficient handling of large reads and dat
0 views • 19 slides
Circulating miRNA Changes in Alzheimer's and Parkinson's Diseases Analysis Workshop
Workshop focused on analyzing circulating miRNA changes associated with Alzheimer's and Parkinson's diseases using the Genboree Workbench and exceRpt small RNA-seq analysis pipeline. The study aimed to identify extracellular miRNA biomarkers correlating with disease status and progression, replicati
0 views • 20 slides
BabyDayOut Ontology: Describing Picture with Classes, Instances, and Relations
Ontology "BabyDayOut" is developed using RDF/RDFS to describe a picture. It includes classes such as Person, Animal, Baby, Picture, Man, and Gorilla with instances like John, KingKong, Jack, Peter, and Alex. Various relations like hasFriend, hasAnimalFriend, sonOf, depicts, hasEnemy, and hasTitle ar
0 views • 9 slides
Understanding ChIP-seq Data Analysis in Primate iPSCs
Analysis of ChIP-seq data in primate iPSCs reveals insights into regulatory differences, experimental systems, read subsampling, QC analysis, peak classification, and cross-species comparisons for transcriptional regulation studies. Balanced designs and functional validation of iPSCs contribute to a
0 views • 33 slides
Introduction to RNA-Seq & Transcriptome Analysis Summary
Exploring a comprehensive guide to RNA-Seq and transcriptome analysis presented in a PowerPoint by Shounak Bhogale. The tutorial covers steps such as aligning RNA-Seq reads using STAR, counting reads with htseqCounts, finding differentially expressed genes with edgeR, and visualization with IGV. Det
0 views • 30 slides
Bulk RNA-seq Analysis: Basics and Downstream Insights
Bulk RNA-seq is a powerful method for analyzing gene expression in biological samples. This approach involves extracting and sequencing RNA to understand the presence and quantity of RNA molecules. The process includes steps like conversion to cDNA, sequencing reads, and downstream analysis over ann
1 views • 12 slides
Statistical Analysis of Laboratory Data Using limma-voom for RNA-Seq
Explore the application of limma-voom, a statistical method to analyze gene expression data from RNA-Seq experiments. Understand how this approach addresses the variance issue in RNA-Seq data by applying weights. Utilize bottomly data from inbred mouse strains to identify differentially expressed ge
0 views • 11 slides
Understanding Genomics and Bioinformatics in Genetics Evolution
Delve into the world of genomics and bioinformatics through the Genetics and Genome Evolution (GGE) lecture series by Sven Bergmann. Explore topics such as RNA-seq analysis, differential expression, gene expression measurement techniques, and integrative analysis with epigenetic data. Gain insights
0 views • 37 slides
Comprehensive RNA-Seq Data Analysis Overview
Explore the intricate process of RNA-Seq analysis including library preparation, reference-based analysis, sequence data processing, raw sequence quality control, FastQ format data, and quality assessment steps such as FastQC, base call quality, composition, duplication, and adapter trimming.
0 views • 81 slides
RNA-Seq Data Analysis: Mapping Reads to Transcript Abundance
Exploring RNA-Seq data analysis focusing on mapping reads and estimating transcript abundance. Key topics include read mapping speed, quantitation methods, inferences on gene expression, and a simple model for understanding transcript abundance calculation. The process involves linking mapped reads
0 views • 13 slides
Comprehensive Tools and Resources for modENCODE and ENCODE Data
Explore the modENCODE project's uniform ChIP-Seq processing tools, outline of the Model Organism ENCyclopedia Of DNA Elements (modENCODE), funding information, DCC mandates, data availability on Amazon Cloud, and challenges in accessing the extensive modENCODE dataset.
0 views • 20 slides
Navigating Employer Policies on Permitted Medical Marijuana Use
Explore the delicate balance between employer policies and the use of permitted medical marijuana, focusing on Connecticut laws and regulations. Learn about the definitions, implications for the workplace, and the rights of qualifying patients under Conn. Gen. Stat. 21a-408 et seq.
0 views • 50 slides
Understanding the Role of Multiple Enhancers in Gene Regulation
Multiple enhancers play a crucial role in regulating gene expression in a cell, with approximately 3-5 enhancers associated per human gene. These enhancers are essential for tissue-specific expressions and are active within the same cell line. The use of multiple enhancers can impact gene expression
0 views • 30 slides
Visualising and Exploring BS-Seq Data: Tips and Insights
Explore essential strategies for analysing BS-Seq data, ranging from selecting appropriate methylation contexts to identifying coverage outliers and biases. Understand how to interpret data patterns, handle unusual findings, and mitigate potential errors, ensuring accurate methylation analysis resul
0 views • 40 slides
Plant Bioinformatics Studies on ChIP-Seq Data Analysis
Plant bioinformatics researchers conducted experimental analyses and mapped gene regulatory networks using ChIP-Seq data. The studies involved exploring gene expression, regulatory interactions, and transcription factor binding sites. Techniques such as peak calling, motif finding, and peak annotati
0 views • 19 slides