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Printable Handouts
Navigable Slide Index
- Introduction
- How might we annotate a human text?
- Non-coding annotations: overview
- ENCODE Consortium
- Comparative ENCODE functional resource
- Comparative ENCODE
- Characterizing ncRNAs & TARs
- Protein-coding gene counts in worm, fly & human
- Discovering transcriptionally active regions
- Uniform annotation of non-coding elements
- Annotated ncRNAs
- Non-canonical transcription
- IncRNA
- TAR characterization
- Expression Clustering, Cross-species
- Expression clustering: revisiting an old problem
- Network modularity
- A toy example: orthoclust
- Cross-species clusters for worm and fly
- More conserved modules
- Separation of modules in terms of GO
- Application for more than 2 species
- ncRNAs associated with modules
- Hourglass behavior
- Intra-organism behavior
- Alignment of developmental time-course (1)
- Alignment of developmental time-course (2)
- Other applications and generalizations
Topics Covered
- Comparative ENCODE functional genomics resource
- Non coding transcription
- Transcriptionally active regions (TARs)
- Machine learning models for un-annotated transcription
- Expression clustering, cross-species
- Developmental 'hourglass' genes
Talk Citation
Gerstein, M. (2017, August 31). Comparing transcriptomes of distant organisms: the comparative ENCODE resource 1 [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 23, 2024, from https://doi.org/10.69645/EAXP4289.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Mark Gerstein has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Comparing transcriptomes of distant organisms: the comparative ENCODE resource 1
Published on August 31, 2017
33 min
A selection of talks on Cell Biology
Transcript
Please wait while the transcript is being prepared...
0:00
This is Mark Gerstein and I'm the Albert Williams Professor of
Biomedical Informatics at Yale and I work on things
to do with genomics and personal genomics and so forth.
And today, I'm going to be talking about comparing
the transcriptomes of distant organisms.
0:21
I'm going to introduce the idea of how we might think about annotating the human genome.
And so, the word annotate of course,
was not developed for genomics.
It was developed for what we do with human text.
So, on this slide,
you can see a human text.
And so the annotations that you see are certain bits of text,
they're colored out with different colors,
other bits of text are kind of circled and so forth.
And what I've attempted to do with the coloring is I have
tried to highlight the function of different bits of text.
Obviously, there's a title,
there's an introductory paragraph,
there's a quote and so forth.
And then the things in dash,
you can see there are regions that are repeated.
So, one way that people often annotate text in
a literary context is they'll look at how
a piece of text repeats an idea both internally,
within that piece of text or repeats an idea or
even verbatim some words related to another text.
So, for instance, here,
I've highlighted the word programmer,
which is repeated a lot in this particular text.
So, those are the ways that we might annotate a famous text like the Bible and so forth,
looking at repeat concepts and the function of various paragraphs.
And so we're going to do the same thing on the next slide with the human genome.
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