Bioinformatics research guide-using analysis to write paper

Description

Embark on a Journey of Genome-Wide Research in Bioinformatics: Analyzing Next Generation Sequencing Data

If you aspire to enter the field of bioinformatics research but lack sufficient knowledge in the area, this course is designed specifically for you. Join us to explore the recent advances in DNA/RNA sequencing technology and their applications in modern-day genome-wide research of plants. Utilize bioinformatics tools to analyze data generated by Next Generation Sequencing (NGS) and unravel the secrets hidden within the genomes of plants.

Throughout this course, you will gain valuable insights and practical skills by covering a wide range of topics:

1. Idea of Paper:

Understand the concept of research papers and their role in scientific exploration. Learn how to choose a gene family and a specific plant species as your focal point for analysis.

2. Paper Pattern and Discussion:

Navigate through the process of searching for previously published papers and select the appropriate office to work with across different platforms. Explore different reference software options and learn how to effectively use Mendeley as a reference management tool.

3. Gene Identification Section:

Master the art of gene identification by retrieving sequences, conducting homology searching, and analyzing the retrieved sequences. Explore sequence alignment techniques and gain insights into sequence identity and similarity analysis.

4. Phylogenetic Analysis and Gene Structure:

Dive into the world of phylogenetics and tree construction to understand the evolutionary relationships between genes. Explore the visualization of introns and exons, as well as motifs within gene structures.

5. Domain Analysis and Visualization:

Uncover the functional domains within genes and learn how to visualize them for further analysis and interpretation.

6. Gene Duplication Analysis:

Explore chromosomal mapping to understand the distribution of genes across chromosomes and gain insights into gene duplication events.

7. Physical Characteristics Analysis:

Analyze the physiochemical characteristics of genes and explore subcellular localization predictions. Dive into domain prediction to understand the functional units within genes.

8. Identification of Regulatory Elements:

Learn to predict and analyze cis-acting regulatory elements that play a crucial role in gene regulation.

9. Protein Interaction Analysis:

Discover the intricacies of protein interaction networks and analyze gene enrichment to gain insights into the functional context of genes.

10. Gene Expression Analysis Profile (NGS Analysis):

Learn to analyze gene expression profiles using NGS data. Familiarize yourself with the SRA database, quality control measures, genome/alignment mapping, abundance estimation tools, and heatmap generation.

Through practical exercises and real-world examples, you'll gain hands-on experience in analyzing NGS data and interpreting the results. By the end of this course, you'll possess the skills necessary to conduct genome-wide research in bioinformatics and make meaningful contributions to the field.

Enroll now and unlock the power of bioinformatics tools in analyzing plant genomes. Join us on this transformative journey and become proficient in analyzing Next Generation Sequencing data for comprehensive genome-wide research.

What You Will Learn!

• • Choosing a gene family
• • Choosing a plant for gene family research
• • Searching for previously published paper
• • selecting the office to work with on different platforms
• • Selecting the references software
• • How to use Mendeley - Reference Management Software
• • Sequence Retrieval Analysis
• • Homology Searching
• • Sequence Alignment
• • Sequence identity and Similarity analysis
• o What is phylogenetics and Tree construction
• • Gene Structures introns and exons map
• • Motifs identification Analysis
• • Domains Visualization Analysis
• • Chromosomal Mapping (Distribution of Genes on chromosome)
• • physiochemical characteristics analysis
• • Cis-acting regulatory elements prediction analysis
• • Protein Interaction network analysis
• • Gene Enrichment Analysis
• • Gene expression Profiles analysis
• • Sra Database Introduction
• • NGS sequence Analysis
• • Use of trimmomatic tool
• • Quality Control of sample
• • Genome/Alignment Mapping
• • Abundance Estimation Tool on Dataset
• • Heatmap Generation of values

Who Should Attend!

• This course is meant for all the those who have love for life sciences and want to start their research career
• This course is meant for all those who are interested in learning Bioinformatics research
• This course is meant for those who are interested in bioinformatics
• This course is meant for all those who are interested in learning bioinformatics (project based approach)

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