A podcast about computational biology, bioinformatics, and next generation sequencing.
Publishes | Monthly | Episodes | 70 | Founded | 8 years ago |
---|---|---|---|---|---|
Categories | Life SciencesScience |
In this episode, Marie Sadler talks about her recent Cell Genomics paper, Multi-layered genetic approaches to identify approved drug targets.
Previous studies have found that the drugs that target a gene linked to the disease are more likely to be ... more
Today on the podcast we have Tomasz Kociumaka and Dominik Kempa, the authors of the preprint Collapsing the Hierarchy of Compressed Data Structures: Suffix Arrays in Optimal Compressed Space.
The suffix array is one of the foundational data structu... more
In this episode, David Dylus talks about Read2Tree, a tool that builds alignment matrices and phylogenetic trees from raw sequencing reads. By leveraging the database of orthologous genes called OMA, Read2Tree bypasses traditional, time-consuming ste... more
This is the third and final episode in the AlphaFold series, originally recorded on February 23, 2022, with Amelie Stein, now an associate professor at the University of Copenhagen.
In the episode, Amelie explains what 𝛥𝛥G is, how it informs us w... more
Lots of good information about the field I learn a lot of the experience of guest/ host, just smart people talking in this podcast, thank’s
I get a lot out of these podcasts! I’m a 3rd year PhD student studying bioinformatics and I feel that the breadth of these topics are giving me a much better feel of all that’s out there. They also have simplified a lot of complex concepts for me. Thanks so much for putting this on! Dreaming of the day where I can be a guest ;)
I am a graduate student taking bioinformatics in the Fall and this was an interesting and informative podcast to stumble upon. Thanks for making this!
thank you very much for your invaluable ressource
This podcast has great interviews and in-depth coverage of new tools and techniques.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #200 | |
Apple Podcasts | #249 | |
Apple Podcasts | #51 | |
Apple Podcasts | #14 | |
Apple Podcasts | #17 | |
Apple Podcasts | #76 |
Listeners, social reach, demographics and more for this podcast.
Gender Skew | Location | Interests | |||
---|---|---|---|---|---|
Professions | Age Range | Household Income | |||
Social Media Reach |
Rephonic provides a wide range of podcast stats for the bioinformatics chat. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to the bioinformatics chat and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for the bioinformatics chat, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for the bioinformatics chat, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers the bioinformatics chat has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with the bioinformatics chat:
1. Radiolab
the bioinformatics chat launched 8 years ago and published 70 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for the bioinformatics chat from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of the bioinformatics chat. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.