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1. Biology of RNA and Next Generation Sequencing 4
Learn about the process of gene expression, alternative splicing and assays for mRNA detection and quantification
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Biology of Transcription 30 minLecture1.1
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Detection and Quantification of RNA 34 minLecture1.2
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NGS: Gene Expression Data 38 minLecture1.3
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Transcriptomics 1: Quiz 1 10 questionsQuiz1.1
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2. Processing RNA-seq data and generating a table of expression 3
Learn about Next Generation Sequencing and the steps to analyze and interpret RNA-seq data
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Introduction to an RNA-seq study 25 minLecture2.1
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The Logic of RNA-seq Analysis 01 hourLecture2.2
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Transcriptomics 1: Quiz 2 10 questionsQuiz2.1
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3. Understanding The Table of Expression 3
Learn about working with the table of expression to get a high-level view of RNA-seq data
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Working with your Gene Expression Table 35 minLecture3.1
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Biological Interpretation and Annotation 10 minLecture3.2
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Hands-on Assignment: Transcriptomics 1 10 daysAssignment3.1
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4. Conclusion and Additional Resources 3
Additional resources for reading to review what we learned in Transcriptomics 1
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Technical Details on Methods We Used 02 hour 30 minLecture4.1
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Conclusion and Review 40 minLecture4.2
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Course Feedback 10 daysAssignment4.1
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5 Comments
why is FASTQ format preferred over FASTA format?
FastQ has quality of sequencer incorporated into the format:
FastA are text files containing multiple DNA* seqs each with some text, some part of the text might be a name.
FastQ files are like fasta, but they also have quality scores for each base of each seq, making them appropriate for reads from an Illumina machine (or other brands)
SAM holds an alignment of seqs w/qual scores against a template.
BAM is a compressed binary format for SAM, however it can also be unaligned in which case it’s more like a compressed version of fastq.
Should the reads for TopHat algorithm be pair-end reads or single-end ?
tanto faz 😉
It’s will change comand line of the TopHat.
VERY GOOD EXPLAINING…STUDENTS ARE LEARN BRIGHT YOUR FUTURE I HOPE ITS BETTER