DryLab Drop | Bioinformatics · Science · AI

No pipettes. Just pixels. 🧬 Bioinformatics • genomics • AI. Tools & workflows → clean insights. support and templates + beginner track. 📩 Consulting—DM.

[DryLab Drop | Bioinformatics · Science · AI @Dldbioscience]

🎁 FREE: Notion page with 50+ tools listing database and 10+ ready-to-run OMICS workflows.
Learn bioinformatics and understand—or even run—your own analyses. 1-liner commands + gotchas inside.
(Link in first reply) • Follow @DryLabDrop @dldbioscience for weekly micro-drops.

[DryLab Drop | Bioinformatics · Science · AI @Dldbioscience]

🚀 Got data. Need a plan?

DryLab Drop provides bioinformatics support from experimental design to analysis and insights — across omics, tools and workflows.

For students, researchers, platforms & biotech.

🧬 No pipettes. Just pixels.
📩 DM us

#Bioinformatics #Omics #Science

[Ming "Tommy" Tang @tangming2005]

🧵 If you’re doing bioinformatics by hand, you’re burning time you’ll never get back.
1/
Every biologist has done this:
Copying a file name, pasting it into the terminal, running one command.
Then doing it again. And again.
Hours gone. Nothing scalable.

[antisense. @razoralign]

Geneslator: an R package for comprehensive gene identifier conversion and annotation https://t.co/iWr9O06eJG

[Molecular Plant & Plant Communications @MPlantPCom]

PlantMDCS: A code-free, modular toolkit for rapid deployment of plant multi-omics databases #resource #PlantCommunications https://t.co/YlE0vxU16C

[Hao Yin @HaoYin20]

De novo detection of Somatic Mutations in scRNAseq & scATACseq data

SComatic

https://t.co/Pmo7NLzKRL

Tracing human Clonal Heterogeneity (& even Lineage!🤓)

@isidrolauscher @NatureBiotech 2024
https://t.co/zLV3PwAMmE

[antisense. @razoralign]

scAtlasTb: Building optimized single-cell reference atlases https://t.co/G7JwKeMS9V

[DryLab Drop | Bioinformatics · Science · AI @Dldbioscience]

DryLab Drop take:

Foundation models are moving beyond text and single-cell expression.

The next frontier is multimodal genome biology:

sequence × chromatin × epigenomics × spatial organization.

The genome is not linear.
Our models should not be either.
6/6

[DryLab Drop | Bioinformatics · Science · AI @Dldbioscience]

The 3D genome just got its foundation model moment.

HiCFoundation, published in Nature Methods, proposes a generalizable AI model trained on massive Hi-C data to analyze chromatin architecture across species. 🧬⚡ 1/6

https://t.co/ci5sTwYDiH

[DryLab Drop | Bioinformatics · Science · AI @Dldbioscience]

For plant genomics, this direction is especially exciting.

Most 3D genome tools are still benchmarked mainly on animal systems.

A more generalizable framework could help compare chromatin architecture across species, tissues and developmental contexts.
5/6

[antisense. @razoralign]

OmicOS: A Comprehensive Omics Ecosystem Infrastructure and Agent System for the AI Era https://t.co/T9p2TOJTQN

[DryLab Drop | Bioinformatics · Science · AI @Dldbioscience]

@razoralign Very interesting direction. The key shift is not just “AI for omics”, but registry-grounded execution: agents using verified tools, valid data objects, controlled workflows and provenance.

That’s what can make AI-assisted analysis reproducible rather than just impressive.

[antisense. @razoralign]

GOATEA: gene set enrichment analysis in R with shiny interactive visualizations https://t.co/h4KYIRTDTS

[marek mutwil 🇺🇦 @LabMutwil]

🌱 504k public plant RNA-seq samples × 1,200+ species → live interactive
UMAP atlas.

Click any organ (256 PO terms) or evo-devo trait (57 of them) → top
gene families upregulated pop up on the right.

https://t.co/6gYY7j9v1w

[Ming "Tommy" Tang @tangming2005]

You can not live without Rmarkdown if you use R for genomics data analysis. Cheatsheet from Posit:

https://t.co/VouDECa9lU

[Ming "Tommy" Tang @tangming2005]

Nature Protocols: Structural variant calling using Sniffles2 https://t.co/MzO6YOu5u9

[antisense. @razoralign]

CeSpGRN: Inferring cell-specific gene regulatory networks from single cell multi-omics and spatial data https://t.co/I6EICTsiqX

[antisense. @razoralign]

scDIG: An R Shiny Application for Interactive Density-Based Gating of Single-Cell Proteomic and Transcriptomic Data https://t.co/BizQvCZkFG