Junhao Chen(陈俊浩) (@junhaochen1113) 's Twitter Profile
Junhao Chen(陈俊浩)

@junhaochen1113

Biology PhD candidate in the lab of @ZLinSLU. Genomics and bioinformatics researcher.

ID: 1216437038146187265

linkhttp://junhaochen.top calendar_today12-01-2020 19:09:33

274 Tweet

152 Followers

792 Following

Crystal Lewis @cghlewis.bsky.social (@cghlewis) 's Twitter Profile Photo

If you ever need to move files around in your directory, #rstats can help do this quickly, especially when you are working with hundreds of files! Here is just one way you might quickly sort and copy files into a new location.

If you ever need to move files around in your directory, #rstats can help do this quickly, especially when you are working with hundreds of files! Here is just one way you might quickly sort and copy files into a new location.
Jianmin Wang(王建民) (@jianmin4drugai) 's Twitter Profile Photo

Updating !!! Collection(GitHub): Deep Learning and Generative AI for molecules ( small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) github.com/AspirinCode/aw…

Updating !!!
Collection(GitHub): Deep Learning and Generative AI for molecules ( small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) 
github.com/AspirinCode/aw…
Robert Aboukhalil (@robaboukhalil) 's Twitter Profile Photo

Biowasm now supports nucmer, the genome/assembly alignment tool from MUMmer. Anyone making a web app can now import nucmer in the front-end to align small genomes or assemblies to each other. Thanks to Thomas Roder for contributing!

Biowasm now supports nucmer, the genome/assembly alignment tool from MUMmer.

Anyone making a web app can now import nucmer in the front-end to align small genomes or assemblies to each other.

Thanks to <a href="/__ThomasRoder__/">Thomas Roder</a> for contributing!
HittingerLab (@hittingerlab) 's Twitter Profile Photo

How do yeasts resist oxidative stress? We used machine learning to identify gene families that are predictive of ROS resistance across the yeast subphylum. Check out the preprint led by UW–Madison Biochem undergrad Kat Aranguiz and postdoc Linda biorxiv.org/content/10.110…

HittingerLab (@hittingerlab) 's Twitter Profile Photo

See our new article in which we developed an Ontology of Yeast Environments.🌱This hierarchical framework allows for new systematic analyses and insights into the evolution, ecology, and diversity of yeasts!💡onlinelibrary.wiley.com/doi/10.1002/ye…

Jia-Xing Yue  (岳家兴) (@iamphioxus) 's Twitter Profile Photo

Glad to announce that our (with Dao-Qiong Zheng & Jing Li (李婧)) proposed symposium on #ExperimentalEvolution has been selected for the Molecular Biology and Evolution 2025 conference in #Beijing! Dmitri Petrov will be our invited speaker! Please save the date and consider joining our symposium!

Glad to announce that our (with Dao-Qiong Zheng &amp; <a href="/iYeast_jingli/">Jing Li (李婧)</a>) proposed symposium on #ExperimentalEvolution has been selected for the <a href="/MolBioEvol/">Molecular Biology and Evolution</a> 2025 conference in #Beijing! <a href="/PetrovADmitri/">Dmitri Petrov</a> will be our invited speaker! Please save the date and consider joining our symposium!
Jia-Xing Yue  (岳家兴) (@iamphioxus) 's Twitter Profile Photo

Attn: The abstract submission for the SMBE 2025 conference in Beijing Molecular Biology and Evolution is open now! Submission site: smbe2025.scimeeting.cn/en/web/index/2… Submission Deadline: Jan 30, 2025. Welcome for all abstract submissions, especially for our Experimental Evolution Symposium !!! #evolution

Attn: The abstract submission for the SMBE 2025 conference in Beijing <a href="/MolBioEvol/">Molecular Biology and Evolution</a> is open now!

Submission site: smbe2025.scimeeting.cn/en/web/index/2… 
Submission Deadline: Jan 30, 2025.

Welcome for all abstract submissions, especially for our Experimental Evolution Symposium !!!

#evolution
Jana Helsen (@helsenjana) 's Twitter Profile Photo

Centromere evolution isn't a sudden switch! Our study shows centromere transitions are a step-by-step process driven by a combination of drift and selection. Discover how the kinetochore interface shapes this gradual change in our new preprint doi.org/10.1101/2025.0…  🧵(1/8)

Dan Warren (@slucompphys) 's Twitter Profile Photo

POST-DOC ALERT: We seek a postdoctoral associate with experience in electrophysiology to lead a 2-year, NSF-funded project examining how isolated turtle neurons regulate membrane currents during anoxia. If interested, either DM or visit slu.wd5.myworkdayjobs.com/en-US/Careers/… Society for Neuroscience (SfN)

Meixia Zhao (@meixiazhao) 's Twitter Profile Photo

We’ll be hosting the Bioinformatics Summer Workshop from August 11–15. The workshop is completely free and held 100% online. If you are interested, please go ahead and register: sites.google.com/view/bioinfowo…

We’ll be hosting the Bioinformatics Summer Workshop from August 11–15. The workshop is completely free and held 100% online. If you are interested, please go ahead and register: sites.google.com/view/bioinfowo…
HittingerLab (@hittingerlab) 's Twitter Profile Photo

It's been awhile since we posted here, but we have an opening for postdoctoral training! Please apply by 15th August 2025 for full consideration. Here is the ad: hittinger.genetics.wisc.edu/People/Join/po…

Meixia Zhao (@meixiazhao) 's Twitter Profile Photo

I am seeking a highly motivated and enthusiastic PhD student to join my lab in Spring or Fall 2026. If you are interested in genetics, epigenetics, or bioinformatics, please feel free to contact me at [email protected].

I am seeking a highly motivated and enthusiastic PhD student to join my lab in Spring or Fall 2026. If you are interested in genetics, epigenetics, or bioinformatics, please feel free to contact me at meixiazhao@ufl.edu.
Jorge Bravo (@bravo_abad) 's Twitter Profile Photo

Deep Learning for Biology, by Charles Ravarani & Natasha Latysheva A hands-on guide to applying deep learning across DNA, proteins, medical images, and more. Each chapter is a project-driven path into AI-powered biology—covering CNNs, transformers, GNNs, and autoencoders.

Deep Learning for Biology, by Charles Ravarani &amp; Natasha Latysheva

A hands-on guide to applying deep learning across DNA, proteins, medical images, and more. Each chapter is a project-driven path into AI-powered biology—covering CNNs, transformers, GNNs, and autoencoders.