Plant molecular biologist/geneticist interested in better understanding the complexities of transcriptional regulation. Member of @SpringerNathan lab @UMNCBS
Joined April 2019
- Tweets 97
- Following 299
- Followers 137
- Likes 562
2 Photos and videos
Zach Myers retweeted
3 Dec 2023
ggPlantmap: an R package for creation of informative and quantitative ggplot maps derived from plant images. biorxiv.org/cgi/content/shor… #biorxiv_plants
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Zach Myers retweeted
4 Dec 2023
A thread 🧵about bringing humanity to academia 1/6
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Zach Myers retweeted
1 Dec 2023
Our first inking that something might be amiss with the accepted story of maize origins occurred 13 years ago. Thanks to the efforts of @NingYang9 those hints from long ago are now a new model of maize origins, out today: science.org/doi/10.1126/scie…
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Zach Myers retweeted
31 Oct 2023
Save the Date🗓️— The 3rd Plant Cell Atlas
Symposium & Synthetic Biology Hackathon are coming in August 2024! Registration will open at a later date.
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24 Sep 2023
This looks so useful, I'll definitely be playing around with it soon!
21 Sep 2023
It is my great pleasure to announce ggPlantmap (github.com/leonardojo/ggPlan…), an open-source R package to create ggplot maps from plant images. Now, you can create beautiful plant heatmaps to be visualized and modified in a R coding environment.
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Zach Myers retweeted
5 Sep 2023
Check out my first review! The diversity of peptide hormone systems in plants is truly amazing. I learned so much in the writing process. Thanks so much to @Dsjones552 for writing this with me and helping me through the whole process. Stay tuned for future @thecapitulab pubs
4 Sep 2023
Very excited to share @thecapitulab‘s first paper! @reid_selby and I wrote a COPB review about peptide hormone signaling in plant meristems and just how complex these pathways are (especially in flowering plants)! authors.elsevier.com/a/1hiJm…
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Zach Myers retweeted
2 Aug 2023
Our pre-print “Spatial Co-transcriptomics Reveals Discrete Stages of the Arbuscular Mycorrhizal Symbiosis” is now available online. doi.org/10.1101/2023.08.02.5… Check it out to learn how single-nuclei and spatial RNA-seq were combined to tackle complexities of the AM symbiosis! 🌱🍄
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Zach Myers retweeted
23 May 2023
@alex_marand Did a wonderful job of pulling this together with co-authors. I definitely learned way more than I contributed here. Great job Alex, Kerstin and Andrea annualreviews.org/doi/abs/10…
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Zach Myers retweeted
3 Jan 2023
After many years of hard work, I am super excited to share this manuscript on the importance of intentionally addressing equity in the classroom! (1/5) nsta.org/journal-college-sci…
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12 Nov 2022
The definition of bittersweet - so incredibly excited to see what @SpringerNathan gets into next at @Bayer4Crops, but he will be sorely missed at UMN. Nathan helped me navigate a transition into monocot genomics, and I've learned so much from his outlook on science and research.
11 Nov 2022
After ~20 years at the UMN today was my last day . I have been so lucky to work with wonderful people in my group and to have a fantastic set of collaborators. A huge thank you to all of my colleagues, collaborators and friends. Excited for a new journey @Bayer4Crops
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12 Oct 2022
Amazing opportunity here - definitely consider applying! Great science, wonderful mentorship, AND you'll be surrounded with beautiful flowers while you work!
11 Oct 2022
@thecapitulab is hiring! Looking for a Postdoc to work on this @NSF funded project studying capitulum development @AuburnU. The work involves really cool developmental transcriptomics of diverse species while diving deeper with functional genetics. Reach out with questions! 🌻
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Zach Myers retweeted
29 Aug 2022
🌻Ever wonder how the capitulum evolved? Excited to announce our NSF PGRP award to ask that question! Work will generate new genomic resources across Asterales, Dipsacales and Apiales to address broad questions related to capitulum development and evolution @Dsjones552 @jmbrkphd
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Zach Myers retweeted
25 Jul 2022
@thecapitulab is ready for an awesome #Botany2022 meeting! Be sure to check out @BrannanRose1 (PCB004) and @reid_selby (PDS010) posters this evening if you’re at the meeting to hear about their amazing conservation genomics and flower development work!
ALT PI Daniel Jones, grad student Brannan Cliver and research assistant Reid Selby standing together, masked with mountains in the background (in convention center in Anchorage, Alaska)
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New promoter tracks with 2 types of glyphs: a color-coded box showing the 1kb promoter region just 5' of each transcript and predicted core promoter elements (CPE) based on JASPAR profiles. The tracks help provide context for other data with the TSS. On the v5 and NAM browsers.
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Zach Myers retweeted
12 Apr 2022
Our new preprint is up 🎉 -biorxiv.org/content/10.1101/…
We found an odd result while modeling the evolution of TE copy # using sims in SLiM - when we allowed TEs to transpose freely, TE fams that preferentially resulted in neutral insertions more often drove host pops extinct - 1/11
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Zach Myers retweeted
2 Mar 2022
Drastic differential CRISPR-Cas9 induced mutagenesis influenced by DNA methylation and chromatin features biorxiv.org/cgi/content/shor… #biorxiv_plants
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Zach Myers retweeted
14 Jan 2022
We are super excited to welcome The CapituLab's first graduate student Brannan Cliver this week! @BrannanRose1 will be studying Alabama endemic Asters, building new genomes and working toward understanding their development. So happy to have her on board!
ALT Brannan standing in front of a forest in the winter (no leaves on trees) with mountains in the background
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Zach Myers retweeted
13 Jan 2022
Interspecies transfer of syntenic RAMOSA1 orthologs and promoter cis sequences impacts maize inflorescence architecture
biorxiv.org/content/10.1101/…
#plantscience ♻️
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Zach Myers retweeted
24 Nov 2021
Plant Cell author Peng Zhou bit.ly/3l6zQfs first author of Prediction of conserved and variable heat and cold stress response in maize using cis-regulatory information @orionzhou @taraenders @AuthenticZAM @erikalanemag @pete_crisp @noshjac @shanwai1234 @SpringerNathan
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If you want to start with machine learning and want a hands-on tutorial that goes straight to coding:
"Intro to Machine Learning" from Kaggle will help you build your first model!
• 8 lessons.
• 100% free.
• Prerequisites: Python
It will take you ~3 hours to complete.
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