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From biological samples to RNA reads 4
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Biology of Transcription 15 minLecture1.1
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Quantifying RNA: RNA-seq and other Techniques for RNA Analysis 15 minLecture1.2
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Generating Transcriptome Expression Data 15 minLecture1.3
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Transcriptomics 1 Quiz 1 10 questionsQuiz1.1
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From raw RNA-seq reads to expression table 5
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Logical steps for analyzing RNA-seq raw data 18 minLecture2.1
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A Simple Example of RNA-seq Analysis 11 minLecture2.2
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Working with your Gene Expression Table 30 minLecture2.3
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Transcriptomics 1 Quiz 2 8 questionsQuiz2.1
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Hands-on Assignment: Transcriptomics 1 15 minutesAssignment2.1
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Glossary 1
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Supplementary Resources 30 minLecture3.1
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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