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#21 Evolutionary Biology and Data Science with Paco Majic
Arkiverad serie ("Inaktivt flöde" status)
When? This feed was archived on November 08, 2021 08:09 (). Last successful fetch was on November 06, 2020 03:37 ()
Why? Inaktivt flöde status. Våra servar kunde inte hämta ett giltigt podcast-flöde under en längre period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 236904157 series 2422916
How are genes regulated? And how can we model this incredibly complex system? In this episode we get into these questions, evolutionary biology and data science together with Paco Majic. Paco is a biologist doing his PhD within evolutionary biology and gene regulation at ETH Zurich. He tells us about genomes and gene regulation (how genes are activated and deactived) and how this regulation can modeled and simulationed as networks. We also discuss how this relates to evolutionary biology and the emergence of data science and numerical simulations in biology.
Moreover it features an unexpected cameo of Sonic the Hedgehog.
Links: - Gene regulation - Evolutionary biology - EvoDevo: Evolutionary developmental biology - The "Sonic the Hedgehog paper" - A paper about regulatory networks (open access!) - Endless Forms Most Beautiful, the popular science EvoDevo book recommended by Paco Majic - Preprint of a related paper by Paco Majic
In this episode: - Paco Majic, Phd student in evolutionary biology and gene regulation at ETH Zurich. @H_hydrochaeris - Henning Hammar, running the company Börslabbet, PhD in Physics, @investerarfys - Daniel Constanda, IT consultant in finance at Clara Financial Consulting. @DanielConstanda - Martin Nordgren, engineer at Tobii, previously at Dirac, @martinjnordgren
Contact us: dataspaning.se @dataspaning @ Twitterdataspaning@gmail.com
35 episoder
Arkiverad serie ("Inaktivt flöde" status)
When? This feed was archived on November 08, 2021 08:09 (). Last successful fetch was on November 06, 2020 03:37 ()
Why? Inaktivt flöde status. Våra servar kunde inte hämta ett giltigt podcast-flöde under en längre period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 236904157 series 2422916
How are genes regulated? And how can we model this incredibly complex system? In this episode we get into these questions, evolutionary biology and data science together with Paco Majic. Paco is a biologist doing his PhD within evolutionary biology and gene regulation at ETH Zurich. He tells us about genomes and gene regulation (how genes are activated and deactived) and how this regulation can modeled and simulationed as networks. We also discuss how this relates to evolutionary biology and the emergence of data science and numerical simulations in biology.
Moreover it features an unexpected cameo of Sonic the Hedgehog.
Links: - Gene regulation - Evolutionary biology - EvoDevo: Evolutionary developmental biology - The "Sonic the Hedgehog paper" - A paper about regulatory networks (open access!) - Endless Forms Most Beautiful, the popular science EvoDevo book recommended by Paco Majic - Preprint of a related paper by Paco Majic
In this episode: - Paco Majic, Phd student in evolutionary biology and gene regulation at ETH Zurich. @H_hydrochaeris - Henning Hammar, running the company Börslabbet, PhD in Physics, @investerarfys - Daniel Constanda, IT consultant in finance at Clara Financial Consulting. @DanielConstanda - Martin Nordgren, engineer at Tobii, previously at Dirac, @martinjnordgren
Contact us: dataspaning.se @dataspaning @ Twitterdataspaning@gmail.com
35 episoder
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