Certified Professional in RNA-Seq Data Analysis Pipelines

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About this course

Master NGS data analysis pipelines, boosting your career prospects in genomics, biopharma, and academia. Gain hands-on experience with industry-standard tools and receive a globally recognized certification demonstrating your expertise in RNA-Seq data analysis pipelines. Unlock your potential and become a sought-after expert in this rapidly growing field.

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Course Details

  • RNA-Seq Data Preprocessing: Quality Control, adapter trimming, and read alignment
  • RNA-Seq Alignment Algorithms: STAR, HISAT2, Bowtie2 (alignment, mapping)
  • RNA-Seq Quantification: FeatureCounts, RSEM (gene expression, quantification)
  • Differential Gene Expression Analysis: DESeq2, edgeR (statistical analysis, differential expression)
  • RNA-Seq Data Visualization: R/Bioconductor packages (visualization, plotting, ggplot2)
  • Gene Set Enrichment Analysis (GSEA): GOseq, DAVID (functional analysis, pathway analysis)
  • Advanced RNA-Seq Analyses: Splice-junction detection, isoform quantification
  • RNA-Seq Data Interpretation and Reporting: Communicating results effectively
  • Hands-on RNA-Seq Data Analysis Pipeline using a popular workflow management system (e.g. Snakemake)
  • Ethical Considerations and Best Practices in RNA-Seq Data Analysis

Career Path

Job Title (RNA-Seq Data Analysis) Description Bioinformatician (RNA-Seq, Next Generation Sequencing) Develops and implements RNA-Seq data analysis pipelines, conducts quality control, and interprets results for biological insights.

High demand in pharmaceutical and academic research.

Data Scientist (Genomics, RNA-Seq) Applies advanced statistical and machine learning techniques to RNA-Seq datasets, extracting meaningful patterns for drug discovery and precision medicine.

Strong analytical and programming skills are essential.

Research Scientist (RNA Sequencing, Transcriptomics) Conducts independent research using RNA-Seq technology, designs experiments, analyzes data, and publishes findings in peer-reviewed journals.

Requires strong biological knowledge and data analysis skills.

Bioinformatics Analyst (Next Generation Sequencing, RNA) Supports research teams by performing RNA-Seq data analysis, providing technical expertise, and collaborating on projects.

Good communication skills are necessary.

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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Sample Certificate Background
CERTIFIED PROFESSIONAL IN RNA-SEQ DATA ANALYSIS PIPELINES
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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