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23, Python and Me: Using Machine Learning in Python to Analyze Consumer Genomics Data
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pyohio_2024
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Marks
Author(s):
Nathan Brouwer
Location
Calypso
Date
jul Sun 28
Days Raw Files
Start
14:45
First Raw Start
14:39
Duration
00:30:00
Offset
0:05:44
End
15:15
Last Raw End
15:29
Chapters
00:00
0:24:01
Total cuts_time
30 min.
https://www.pyohio.org/2024/program/talks/23-python-and-me-using-machine-learning-in-python-to-analyze
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We are over 20 years into the genomics era, with new insights into human health and our recent evolutionary history emerging almost daily. Genomics may seem like the province of PhDs and R\&D departments, but anyone with basic Python skills can navigate a genomics data pipeline and explore human genetic diversity, including their own! In this presentation, I will introduce the fields of population and health genomics, and the types of domain\-specific data used for genomics study. I will then demonstrate how you can use Python to visualize and analyze public data sources like the 1000 Genomes Project using unsupervised machine learning methods, and how to investigate your own genomics data from sources like *23andMe*. Since many people are not comfortable giving for\-profit companies access to their genomic data, I'll also show how you can simulate realistic personal genomic data via a supervised ML model.
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production notes
2024-07-28/14_39_16.ts
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14:39:16 - 14:45:15 ( 00:05:59 )
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