8. RNA-sequence Analysis: Expression, Isoforms

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  • Опубликовано: 7 фев 2025
  • MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014
    View the complete course: ocw.mit.edu/7-9...
    Instructor: David Gifford
    This lecture by Prof. David Gifford is about RNA-seq (RNA sequencing), a method of characterizing RNA molecules through next-generation sequencing. He begins with the principles of RNA-seq, and then moves on to how to analyze the data generated by RNA-seq.
    License: Creative Commons BY-NC-SA
    More information at ocw.mit.edu/terms
    More courses at ocw.mit.edu

Комментарии • 19

  • @notAnon786
    @notAnon786 9 лет назад +7

    The number of isoforms should be (2^n) - (1) and not 2^n (as mentioned at 26:25). Every exon has 2 possibilities and one is subtracted because there is also a state where no exon is present.

  • @lakeshed
    @lakeshed 9 лет назад +3

    This video is very interesting. Makes it very easy to understand how RNA-Seq platform works

  • @songthanh896
    @songthanh896 3 года назад +3

    It's not easy to understand this complicated stuff, but your explanation is really helpful for me to be clear about it. Thank you very much!

  • @wimthiels638
    @wimthiels638 8 лет назад +2

    great explanation of the hypergeometric test. finally got it

  • @jingqinluo7493
    @jingqinluo7493 9 лет назад +3

    wonderful lecture on RNA-seq

  • @kyang162
    @kyang162 9 лет назад +1

    the Prof said that in DESeq, Sj is estimated based on each condition separately, but the paper only shows that the variance is estimated that way, not the size factor. Also, I dont think it is necessary to estimate the sequencing depth factor within conditions only. This would make the calculation of fold change impossible, since the mu for each gene is on a different scale.

  • @sfmambero
    @sfmambero 5 лет назад +1

    56:20 principal component analysis PCA

  • @nowayyesway6659
    @nowayyesway6659 11 месяцев назад

    38:26 what’s the rationale for chi-squared distribution to answer the original modeling? It sounds like the probability is only dependent on the number of parameters and the quality of modeling. Or, in other words, why can we use it for any H0 and H1?

    • @nowayyesway6659
      @nowayyesway6659 11 месяцев назад

      42:35 if this is normalization we use for gene expression, what’s the purpose of rpkm?

    • @nowayyesway6659
      @nowayyesway6659 11 месяцев назад

      44:18 how is q_ip dependent on p based on the first equation?

  • @akathebest3836
    @akathebest3836 7 лет назад +1

    Object modeling is a fundamental tool for analyzing and expressing data requirements. Which aspects seem easiest and most difficult for you?

  • @CompBioQuest
    @CompBioQuest 7 лет назад +1

    Great class. Thank you.

  • @koustavroy5126
    @koustavroy5126 5 лет назад

    If there is n no of exon ,there there could be 2^n -1 isoform?
    Suppose for 3 exon a,b,c . The Exons are a,b,c,ab,ac,bc,abc .so total 7 isoform not 8

  • @sfmambero
    @sfmambero 5 лет назад +1

    50:20 hypergeometric test

  • @ainala8055
    @ainala8055 9 лет назад

    Interesting talk. I have a query that Is it possible to predict bacterial transcription start sites (TSS) using RNA-Seq ??

  • @alcyonecrucis
    @alcyonecrucis 7 лет назад +2

    50:00 "The mean value theorem" lol

  • @George-rq1yp
    @George-rq1yp 8 месяцев назад

    this is 9 years old, do you have plans to update it?

    • @mitocw
      @mitocw  8 месяцев назад

      Currently there are no plans to update this course.

  • @jadecheng7483
    @jadecheng7483 6 лет назад

    Anyone know how come when one particular sample had twice as many reads as the other, the scaling factor would be two? Though it would be square root 2 or something