Jamshaid @BiotechTechie
Molecular Biologist | Proteomics | Serine Proteases | Google Certified Data Analyst | #R #☕️#drugrepurposing #GASPIDs #Granzymes Melbourne Joined October 2020-
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Claude FULL COURSE 1 HOUR (Build & Automate Anything)
gander is an R package that brings AI directly into RStudio or Posit. Instead of switching between your IDE and a chat window, gander lets you ask questions or request code changes right inside your script. It automatically shares relevant context such as variable names, data types, and the surrounding code, so the model can provide precise answers without extra copy-pasting. You can trigger it with a simple keyboard shortcut, choose from different AI models (OpenAI, Claude, or local ones), and control how much of your data is sent for context. In short, gander makes working with AI in RStudio smoother, faster, and smarter. Take a look at the visualization below. It shows an example of how to use gander to create a ggplot2 graph. It’s taken from the package website: simonpcouch.github.io/gander/ In a recent Statistics Globe Hub module, you will learn step by step how to use gander for AI-assisted coding in R, write effective prompts, and apply it to real data science workflows. The Statistics Globe Hub is an ongoing learning program focused on practical skills in statistics, data science, AI, and programming with R and Python. More info about the Statistics Globe Hub: statisticsglobe.com/hub #AI #DataScience #RStats #Coding #Programming #DataAnalytics #statisticsglobehub
After 9 months of using NotebookLM, I can say it's the research tool that has revolutionized my workflow the most. But only because I learned these 20 prompts. Here's the complete system that turns 500 pages into clear answers in under an hour:
INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 1 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a skill that most people will not have in 2 years. The people who skip it will still be watching Netflix next year wondering why nothing in their life has changed. Your call.
Most protein-protein interaction tools work on protein pairs. FlashPPI runs at proteome scale and now across two proteomes at once. Upload any two datasets, get back a predicted interaction network spanning both.
🚨 Excited to share our review on “New approach methodologies for drug discovery,” published in @CELL and selected as a Featured Article. 🔗sciencedirect.com/science/articl… @WenqiangLiu0201, @pdpang, @StanfordDeptMed, @StanfordDeptMed, @StanfordMed, @ncats_nih_gov, @NIH, @GreenstoneBio
This is how you can visualize gene expression data in #tidyheatmaps 🤩 tidyheatmaps.org #rstats #dataviz #phd
5 websites to analyze GEO RNAseq data without a single line of code 👇 AI tools as a bonus in the end!
BREAKTHOUGH: Google's AI can now read 1 million DNA letters at once. Google's DeepMind has unveiled a revolutionary deep learning model, AlphaGenome, which can analyze long sequences of DNA with remarkable accuracy. A new peer reviewed study published in Nature, AlphaGenome can process up to 1 million base pairs (1 megabase) in a single input, capturing long range genetic interactions that previous models could not. The system predicts how single letter DNA changes affect gene expression, RNA splicing, and chromatin regulation across 11 genomic signals, even within the 98% of the human genome that does not code for proteins. In benchmark tests, AlphaGenome matched or outperformed previous state of the art models at identifying functionally important genetic variants. By making large sections of the non-coding genome interpretable, AlphaGenome could significantly accelerate disease variant discovery, cancer research, and precision medicine, moving genomics from sequence reading toward functional understanding.
AlphaGenome: Decoding the dark matter of the genome with a unified deep learning model More than 98% of human genetic variation lies outside protein-coding regions. These "non-coding" variants can disrupt gene regulation in remarkably diverse ways: altering chromatin accessibility, shifting 3D genome architecture, modifying splicing, or changing expression levels—often in tissue-specific patterns. Yet existing computational models face a fundamental trade-off: either they capture long-range regulatory interactions (like distant enhancers) but blur fine-scale features, or they achieve nucleotide resolution but miss distal context. And most specialize in a single modality, leaving users to stitch together predictions from many separate tools. Žiga Avsec and coauthors at Google DeepMind present AlphaGenome, a model that sidesteps these trade-offs. It takes 1 megabase of DNA as input and predicts ~6,000 genome tracks—spanning gene expression, splicing (sites, usage, and junctions), chromatin accessibility, histone modifications, transcription factor binding, and 3D contact maps—at up to single-base-pair resolution. The architecture combines a U-Net backbone with transformer blocks: convolutions capture local motifs essential for splice sites and TF footprints, while transformers model long-range dependencies like enhancer–promoter interactions. Training uses a two-stage approach—pretraining on experimental data followed by distillation from an ensemble of teachers using mutationally perturbed sequences—yielding a single model that scores variants across all modalities in one pass. The results are striking: AlphaGenome achieves state-of-the-art performance on 25 of 26 variant effect prediction benchmarks, including a 25% improvement in predicting eQTL direction over the previous best model. It outperforms specialized models on their own tasks—beating SpliceAI-class methods on 6 of 7 splicing benchmarks and ChromBPNet on accessibility QTLs. Critically, the multimodal outputs enable mechanistic interpretation: for oncogenic mutations near the TAL1 gene in T-cell leukemia, AlphaGenome simultaneously predicts neo-enhancer formation (increased H3K27ac), chromatin opening, and elevated gene expression—recapitulating experimentally validated mechanisms. This points toward a future where interpreting non-coding variation no longer requires assembling a patchwork of specialized models. A unified framework that jointly predicts molecular consequences across modalities could accelerate rare disease diagnostics, guide therapeutic oligonucleotide design, and help prioritize variants in GWAS loci—moving us closer to truly reading the regulatory code written in DNA. Paper: nature.com/articles/s4158…
AlphaGenome is out in @Nature today along with model weights! 🧬 📄 Paper: nature.com/articles/s4158… 💻 Weights: github.com/google-deepmin… Getting here wasn’t a straight path. We sat down @GoogleDeepMind to discuss the story behind the model, paper & API: youtu.be/V8lhUqKqzUc
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Bioinformatics workbook bioinformaticsworkbook.org/#gsc.tab=0
Big new blogpost! My guide to data visualization, which includes a very long table of contents, tons of charts, and more. --> Why data visualization matters and how to make charts more effective, clear, transparent, and sometimes, beautiful. scientificdiscovery.dev/p/salonis-guid…
This is what amino acids look like if you let the side chains flop around on the page
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Genome annotations matter: characterizing Ensembl hg38 annotations from 2014 to 2023. #mRNA #GenomeAnnotation #EnsemblGenes #Isoforms #BMCgenomics link.springer.com/article/10.118…
Whole-genome landscapes of 1,364 breast cancers nature.com/articles/s4158…
How to Align multiple ggplot2 plots by axis #rstats divingintogeneticsandgenomics.com/post/align-mul…
We just made an app that walks you through designing a novel protein with AI from scratch. Takes about 5 minutes, requires zero biology knowledge. ➡️ design-a-protein.com The best part: we will actually synthesize 1000 of those protein designs in the lab and test their real world function as a therapeutic.
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⌬Gabriel Navarrete�... @gabrielnavarret
2K Followers 3K Following Farmacéutico, Medicinal Chemistry PhD Química Farmacéutica: Diseño, síntesis y evaluación in silico de moléculas bioactivas. SNII-III Farmacia-UAEM
Parmita Mishra @parmita
39K Followers 5K Following founder CEO @precigenetic. Scuba diver, engineer, biologist. interested in things that lie deep. // prev. Penn comp bio, research Penn Med (cells n epigenomics)
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13K Followers 8K Following Research lab of Dr. Stephen Waggoner. Opinions expressed are Dr. Waggoner's alone and not on behalf of lab staff or employer. @labwaggoner.bsky.social
UK-QSAR Group @ukqsar
2K Followers 705 Following The #UKQSAR & #Chemoinformatics Group is for scientists interested in #InSilico approaches to #CompChem #DrugDesign #MedChem #BigData #DataScience #RealTimeChem
Muhammad Ibrahim Rash... @MIR_Sherkoti
218 Followers 817 Following Scientist by birth, self proclaimed intelligentsia, an academic, entrepreneur and a passionate science communicator. Assist. Prof. (Biotech) @VUPakistan
Anna @Tlieluih4464
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Drew Vinal @acvinal
381 Followers 2K Following Microbiologist and coowner of Model3D, a company that provides models for students to learn from PDB database of proteins that have been xray crystallographied.
Physiology (APS Journ... @physiol_journal
806 Followers 558 Following Physiology publishes review articles about cutting-edge advances in different fields of physiology. 2024 IF: 10.3 (#3 in Physiology)
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Francisco J. Enguita @fenguita
3K Followers 4K Following Associate Professor, Head of the Laboratory of Genetics, Lisbon Medical School, University of Lisbon, Portugal Molecular artist Instagram: paco.enguita
Vojtech Spiwok 🇺�... @spiwokv
3K Followers 5K Following Professor at UCT Prague interested in biomolecular simulations, enhanced sampling techniques, structural bioinformatics and drug design.
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Bruria Samuel @BruriaSamuel
327 Followers 434 Following Postdoctoral Fellow at the Modell Lab @JohnsHopkins School of Medicine | PhD at @BursteinLab @TAU | Microbiology and Data Analysis
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120 Followers 3K Following Learn how to make consistent profit from the stock and crypto market using trading systems that fit your lifestyle and personality! Horse racing enthusiasts 🐎
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Roberta @robertsroberta8
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Camila @rinatamara73
137 Followers 231 Following
Patricia Palagi - Hop... @P_Palagi
1K Followers 527 Following Strong defender of bioinformatics training and of other good causes. Tweets and twists are mine, but I often talk about what's going on at SIB...
Wai-Hong Tham @tham_lab
5K Followers 3K Following 🇲🇾 scientist in 🇦🇺 | 🦟 🩸 #malaria |🦙 #nanobodies | Prof @WEHI_research @ourANU | on Wurundjeri, Ngunnawal & Ngambri lands | views my own 🏃🏻♀️ 🍜
Julia Warnke @warnke_sommer
27 Followers 560 Following Staff Bioinformatics Scientist @illumina. PhD #Pharmacogenomics. Interested in sustainable urban design in NC. Tweets are my own.
Olivia Williams @wong_maeve2755
2 Followers 39 Following Just one small positive thought in the morning can change your whole day.
Marilyn Bryant @marilyn_brya
1K Followers 4K Following 1. Online Exam /Test/Quiz 2. Online Class Help 3. Online Course Help 4. Research Proposal 5. Dissertation Help 6. Thesis Help 7. Assignment Help 8. Essay Help
Akoya Biosciences @AkoyaBio
7K Followers 7K Following Our mission is to bring context to biology & human health through the power of spatial phenotyping. We are The Spatial Biology Company®. 🧬🥼 #akoyabio
Marilyn @mexeccareers
2K Followers 4K Following Technology, health & science-HR-Scientist- 'help-er-outer'- Loves sunshine..🌞 bike rider
Dr Dee Deveson Lucas @DeeDeveson
492 Followers 953 Following A molecular microbiologist interested in microbial genomics, transcriptomics, AMR and all things bioinformatics.
Nick Wong AU/MEL @methylnick
3K Followers 3K Following Molecular Cowboy. Computers are toys and tools. Tweets are my own. Buy Me a Coffee https://t.co/kLgum5kmxD
Prof. Dr. Serdar Durd... @serdar_durdagi
6K Followers 2K Following Dean of BAU Pharmacy; Professor@TIPBAU; TÜBA Academy Medal; EASA Member; CIHR, AIHS and Max-Planck Soc. Fellow; CEO of İstanbul MedChem; drug designer/developer
⌬Gabriel Navarrete�... @gabrielnavarret
2K Followers 3K Following Farmacéutico, Medicinal Chemistry PhD Química Farmacéutica: Diseño, síntesis y evaluación in silico de moléculas bioactivas. SNII-III Farmacia-UAEM
EvE Bio @EvEBiotech
762 Followers 246 Following Generating data to power the next era of pharmacological intelligence. Every drug vs. Every target. Nurtured by @Convergent_FROs, philanthropically funded.
Anthropic @AnthropicAI
1.5M Followers 2 Following We're an AI safety and research company that builds reliable, interpretable, and steerable AI systems. Talk to our AI assistant @claudeai on https://t.co/FhDI3KQh0n.
Jan Broder Engler @JanBroderEngler
4K Followers 996 Following Scientist and software developer. Creator of https://t.co/jhDLNRpxg9 and https://t.co/Oj1DuZtsXK.
Hannes Stark @HannesStaerk
14K Followers 491 Following @MIT PhD student • Generative models for simulating and designing biomolecules
Peter Ottsjö @peterottsjo
4K Followers 2K Following Journalist covering biotech & AI (➡️ https://t.co/XGxbqDfhBa), longevity (➡️ https://t.co/z7HYGJGlzh or @reachlevity). Reporter at Swedish tech outlet @nyteknik.
Tom Dörr @tom_doerr
212K Followers 3K Following Follow for posts about GitHub repos, DSPy, and agents Subscribe for top posts DM to share your AI project (Due to volume of DMs I'll prioritize subscribers)
Google DeepMind @GoogleDeepMind
1.5M Followers 278 Following The engine room of @Google. Building AI safely and responsibly to solve the world’s most complex problems. Join us: https://t.co/jUHQA27iBL
Žiga Avsec @Avsecz
3K Followers 522 Following Genomics initiative lead at @GoogleDeepMind. Models from our team: Enformer, AlphaMissense, and AlphaGenome.
Job Corner @JOBCORNER247
304K Followers 20 Following I tweet/RT verified job openings and career development opportunities | Crafting professional CV/Resume | Empowering your career journey
Denis Wirtz @deniswirtz
47K Followers 8K Following VP for Research @JohnsHopkins, T.H. Smoot Professor @HopkinsEngineer & @HopkinsMedicine, Co-founder @INBT_JHU, Lab: https://t.co/9OtmgB6InU Tweets are my own.
Mile Sikic @msikic
2K Followers 273 Following Group leader @astar_gis, Prof @SveucilisteZG, partner @OraclumCapital. AI in Genomics
Andrew D. Huberman, P... @hubermanlab
1.8M Followers 2K Following Professor of Neurobiology and Ophthalmology at Stanford Medicine • Host of Huberman Lab • Focused on science and health research and public education
Saloni @salonium
36K Followers 2K Following Co-founder & editor @WorksInProgMag. Writer, Scientific Discovery. Podcaster, Hard Drugs. Advisor, @coeff_giving. // Prev @OurWorldInData. 🏳️🌈
Julian Englert @julian_englert
3K Followers 1K Following Co-founder & protein data dealer at @adaptyvbio Engaging in self-constructive behavior.
Razia Aliani @RaziaAliani
11K Followers 202 Following #3 most influential LinkedIn voice in AI for research | Epidemiologist | Systematic Reviewer | Biostatistician | 135K+ LinkedIn https://t.co/R18oaezU6D
Joe G @EastEndJoe
135K Followers 46K Following Blocked by KLake,GSantos,RudyG,DBongino,Moms4Liberty,Act4America,MDavis,TForte,SebGorka,VGomez,TFitton,MWallace,RStone,KPaxton & more #BlueDuckArmy #FuckTrump
Arc Institute @arcinstitute
46K Followers 71 Following A full-stack institute for AI and biology research.
Ron Alfa @Ronalfa
7K Followers 3K Following CEO & Co-founder @NOETIK_AI Using AI to actually solve cancer. Ex-@RecursionPharma | Stanford MD-PhD
Parmita Mishra @parmita
39K Followers 5K Following founder CEO @precigenetic. Scuba diver, engineer, biologist. interested in things that lie deep. // prev. Penn comp bio, research Penn Med (cells n epigenomics)
Stephane Redon @StephaneRedon
2K Followers 3K Following Co-founder and CEO at OneAngstrom | I post about molecular design and #SAMSON, the integrative molecular design platform | https://t.co/c5qr0P6BZa
Calum Gabbutt @CalumGabbutt
414 Followers 328 Following Computational biologist interested in cancer evolution, maths modelling and Bayesian stats. Junior group leader at @ImperialImmuno
Marios Georgakis @MariosGeorgakis
6K Followers 1K Following MD/PhD leading a lab @LMU_Muenchen | visiting scientist @broadinstitute | writing about human genetics & drug development: https://t.co/03ogvYmxIX
LiteFold @try_litefold
3K Followers 11 Following The infrastructure for Drug Discovery. We are here to make AI for Science more accessible.
Liz Tseng @Magdoll
4K Followers 1K Following Applications product manager @PacBio. #RNA/#GeneTherapy/#bioinformatics. @uwcse PhD. she/her. Aerialist/pole dancer. Opinions are my own.
Frontiers - Immunolog... @FrontImmunol
34K Followers 628 Following Research and updates from all @FrontiersIn journals in the field of immunology. #openaccess
Claude @claudeai
1.6M Followers 2 Following Claude is an AI assistant built by @anthropicai to be safe, accurate, and secure. Talk to Claude on https://t.co/ZhTwG8d1e5 or download the app.
Dr Juliette McIntyre @juliettemm
14K Followers 4K Following She/Her. Senior Lecturer in International Law. The original #ProcedureGoblin. Stay (🐰🐿️). AuDHD. Sanctioned & cited by Russia 🫰 보따람쥐 포에버
Data Science Tutorial... @DataSciencetut
19K Followers 51 Following Data is the language of power holders https://t.co/BuSH24k77g
Javier Santoyo @jsantoyo
6K Followers 899 Following Genomics & Bioinformatics Scientist #Omics #NGS #LongReads | Also @ https://t.co/TCJKash6C1 | Opinions my own. He/Him
Rumi @Rumi_Quote
372K Followers 75 Following "Daily wisdom from Rumi to heal your heart and calm your mind. 🌿 / Author of 'The Rumi Healing Journal' 👇"
NatRevRheumatol @NatRevRheumatol
19K Followers 424 Following Posts from the editors of Nature Reviews Rheumatology, the top review journal in the field, covering the latest advances.
John Lukens @LukensJohnR
15K Followers 3K Following Neuroimmunologist studying MS, autism, Alzheimer's disease, and brain injury at the University of Virginia. Father of two. Fan of Philly sports and US soccer.
Waggoner Lab @LabWaggoner
13K Followers 8K Following Research lab of Dr. Stephen Waggoner. Opinions expressed are Dr. Waggoner's alone and not on behalf of lab staff or employer. @labwaggoner.bsky.social
Oxford Nanopore @nanopore
66K Followers 9K Following 🌍Direct DNA/RNA analysis for anyone, anywhere 🧬Short to ultra-long reads in real-time for rapid insights 🔬Products for research use only
Tamarind Bio @tamarindbio
1K Followers 1 Following Tamarind is a web app and API for the leading molecular design tools, trusted by tens of thousands of industry scientists including majority of top 20 biopharma
Ruslan Rust @rust_ruslan
3K Followers 2K Following Asst Prof @USC with interest in the brain, BBB, stem cells, AI + what can go wrong after stroke & AD. Alum @ETH_en. Fixing science @ResearchHub
Adriano Aguzzi @AdrianoAguzzi
26K Followers 1K Following
Mushtaq Bilal, PhD @MushtaqBilalPhD
254K Followers 92 Following I write about how to use AI for academic purposes | Building https://t.co/uBj501HzJp
Machine Learning in C... @ML_Chem
6K Followers 6 Following Feed that aggregates publications about Machine Learning in Chemistry from over 200 journals of 15 editors. Contact @CYL_Lab for any question.
Rafael Irizarry @rafalab
29K Followers 490 Following Applied statistician. I tweet data-driven observations, data science educational materials, academic research updates, and the occasional joke.
A*STAR Genome Institu... @astar_gis
2K Followers 162 Following We are the national flagship programme for the genomic sciences in Singapore! Part of @astar_research. Follow us: https://t.co/UxzYTZAqB7
وزارة التعل... @moe_gov_sa
4.1M Followers 26 Following الحساب الرسمي لـ #وزارة_التعليم.. The official account of Ministry of Education | لتواصلكم: @MOETawasul
Bioinformatics Advanc... @BioinfoAdv
5K Followers 669 Following A fully open access, peer-reviewed journal published jointly by Oxford University Press and the International Society for Computational Biology.
A*STAR Research @astar_research
14K Followers 847 Following Highlights of the latest discoveries and innovations at the Agency for Science, Technology and Research.




















