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Episode 09 - Incorrect Nucleotide Sequences Are Unacceptably Frequent Within Scientific Literature

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Manage episode 301366144 series 2942968
Content provided by Dr Jonny Coates, Rippling Ideas, Dr Jonny Coates, and Rippling Ideas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Jonny Coates, Rippling Ideas, Dr Jonny Coates, and Rippling Ideas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This week we discuss how published nucleotide sequences are not always correct or to be trusted with Yasunori Park and Professor Jennifer A Byrne (@JAByrneSci), a research Assistant and PI at the University of Sydney (@Sydney_uni). We delve into the details of their nifty new text mining tool (Blast and Seek) which highlights papers with incorrect nucleotide sequences. We also discuss the most common mistakes found, the impact of these mistakes, and what we can do as researchers to prevent errors from occurring. We also talk about prepints and Australian Research Council’s recent decision to ban preprints in their grant applications as well as some insight into our very own PhD’s.

Read the full preprint https://www.biorxiv.org/content/10.1101/2021.07.29.453321v1?fbclid=IwAR2LibD1DD8q6b5df3vMzgFXpmmA6q1E_UarbyaB0dq55fOaY8mmFvzbe14

Other links

Open letter to ARC https://asapbio.org/arc

This episode was produced by Emma Wilson and edited by John D Howard.

If you enjoyed this show then hit that subscribe button and leave a review. If you love what we are trying to do then support us on Patreon https://www.patreon.com/preprintsinmotion where tiers start at as little as £1 a month!

For the latest podcast news and updates follow us on Twitter @MotionPod or visit our website; www.preprintsinmotion.com.

Produced by JEmJ Productions (find us on Twitter: Jonny @JACoates, Emma @ELWilson92, John @JohnDHoward8) and generously supported by ASAPbio (https://asapbio.org | @asapbio_).

  continue reading

70 episodes

Artwork
iconShare
 
Manage episode 301366144 series 2942968
Content provided by Dr Jonny Coates, Rippling Ideas, Dr Jonny Coates, and Rippling Ideas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Jonny Coates, Rippling Ideas, Dr Jonny Coates, and Rippling Ideas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This week we discuss how published nucleotide sequences are not always correct or to be trusted with Yasunori Park and Professor Jennifer A Byrne (@JAByrneSci), a research Assistant and PI at the University of Sydney (@Sydney_uni). We delve into the details of their nifty new text mining tool (Blast and Seek) which highlights papers with incorrect nucleotide sequences. We also discuss the most common mistakes found, the impact of these mistakes, and what we can do as researchers to prevent errors from occurring. We also talk about prepints and Australian Research Council’s recent decision to ban preprints in their grant applications as well as some insight into our very own PhD’s.

Read the full preprint https://www.biorxiv.org/content/10.1101/2021.07.29.453321v1?fbclid=IwAR2LibD1DD8q6b5df3vMzgFXpmmA6q1E_UarbyaB0dq55fOaY8mmFvzbe14

Other links

Open letter to ARC https://asapbio.org/arc

This episode was produced by Emma Wilson and edited by John D Howard.

If you enjoyed this show then hit that subscribe button and leave a review. If you love what we are trying to do then support us on Patreon https://www.patreon.com/preprintsinmotion where tiers start at as little as £1 a month!

For the latest podcast news and updates follow us on Twitter @MotionPod or visit our website; www.preprintsinmotion.com.

Produced by JEmJ Productions (find us on Twitter: Jonny @JACoates, Emma @ELWilson92, John @JohnDHoward8) and generously supported by ASAPbio (https://asapbio.org | @asapbio_).

  continue reading

70 episodes

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