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Mohamad Zamani
Dr. Mohammad Zamani bioinformatician
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Teaching on Alison since Aug 2021
Mohammad Zamani is one of the academic staff of the Department of Clinical Sciences of Shahid Bahonar University of Kerman, working as a clinical pathologist and clinical bioinformatics. He grew up in one of the low-income provinces of Iran. Then, in 2008, he obtained his DVM degree (Doctorate of Veterinary Medicine) and then in the same year, he started the PhD in Clinical Pathology at the University of Tehran. During his PhD, he worked on a variety of cancers (particularly breast cancer) using genetics and bioinformatics approaches. After graduating from the University of Tehran in 2013, he worked as an assistant professor (2013-2018) and then as an associate professor (2018 to present) at Shahid Bahonar University of Kerman.

Dr. Mohammad Zamani is an...
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Mastering Genomics: Unveiling Insights Through Microarray Analysis
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Mastering Genomics: Unveiling Insights Through Microarray Analysis
5-6 hrs 179 learners
By Mohamad Zamani
You Will Learn How To

By the end of this course, you will be able to:

  • Illustrate installing the CRAN or Bioconductor packages directly or indirectly in the R environment
  • Assess the gene expression database on various features (options) and download the expression data
  • Identify and extract differentially expressed genes (DEGs) after importing the expression matrix into geWorkbench
  • Apply Gene Ontology (GO) analysis on DEGs using the corresponding database (DAVID)
  • Explain the details of different microarray methods, including DNA microarray
  • Evaluate the general format of the gene expression matrix and read the various information presented in the matrix
  • Compute cluster analysis on DEGs using the Hierarchical clustering method in the geWorkbench
  • Compute cluster analysis using the K-Means algorithm, cluster, and factoextra packages in the R environment
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CERTIFICATE
Beginner Level
Programming
Mastering Genomics: Unveiling Insights Through Microarray Analysis
5-6 hrs
179 enrolled
Mastering Genomics: Unveiling Insights Through RNA-Sequencing Analysis
5-6 hrs 377 learners
By Mohamad Zamani
You Will Learn How To

By the end of this course, you will be able to:

  • Explain the details of RNA sequencing technology step by step
  • Summarize some basic concepts and descriptions about the different types of RNAs
  • Describe databases containing RNA-seq reads and download these raw data
  • Assess the overall quality of raw RNA-seq reads using FastQC tool in terms of various parameters
  • Explain the main parts and characteristics of a FASTQ file in details
  • Apply the trimming procedure to the raw RNA-seq reads using Trimmomatic tool to remove adapters
  • Generate alignment files (SAM and BAM file) after mapping the corrected RNA-seq reads to the reference genome
  • Compute the number of aligned (mapped) reads for each gene using the HTSeq tool
  • Explain the main parts and characteristics of a SAM (Sequence Alignment Map) file in details
course logo
CERTIFICATE
Beginner Level
Programming
Mastering Genomics: Unveiling Insights Through RNA-Sequencing Analysis
5-6 hrs
377 enrolled
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I really enjoyed this course for I gained alots of knowledge in Compute the number of aligned (mapped) reads for each gene and the main parts and characteristics of a SAM file.
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