Insybio

09/24/2026

🔗 Protein analysis does not have to stop at a list of significant molecules.

InSyBio Interact helps researchers investigate proteins and protein–protein interactions, create PPI datasets, explore interaction networks and connect molecular findings with functional information.

🧬 The tool can support questions such as:
✅ Which proteins may interact?
✅ Which interactions have stronger computational support?
✅ Do proteins form connected network modules?
✅ Which biological functions are enriched in a selected set?

🕸️ By adding interaction and network context, researchers can move from isolated protein findings toward hypotheses about the biological system behind them.

🌐 https://insybio.com/insybio-interact/
💻 https://insybio.com/get-a-free-one-month-license-of-insybio-suite/

09/23/2026

🧬 From biological data to networks, predictive models and candidate biomarkers — in one connected environment.

InSyBio Suite brings together tools for:
🗂️ Data management
🔗 Proteomics & interactomics
🕸️ Biological-network analysis
📊 Biomarker discovery and predictive modelling
🤖 AI-assisted bioinformatics guidance

💻 Researchers can use DataStore, Interact, BioNets and Biomarkers as connected stages of a broader workflow, while BioInfoLLM™ provides scientifically grounded guidance throughout the analysis process.

🚀 Less workflow fragmentation means more focus on the biological question.

🌐 https://insybio.com/
💻 https://insybio.com/get-a-free-one-month-license-of-insybio-suite/

09/22/2026

🧬 Proteomics meta-analysis tip: harmonize before you integrate.

Combining multiple proteomics datasets can improve statistical power and biological coverage, but technical differences between studies can easily become confounded with the biology.

Before merging:
✅ Standardize identifiers
✅ Preserve study/batch metadata
✅ Run QC within each dataset
✅ Compare normalization approaches
✅ Examine missingness before imputation
✅ Apply documented filtering rules
✅ Assess batch effects
✅ Test robustness across preprocessing choices

📊 The goal is not to make every study identical. The goal is to understand and control technical variation well enough that biological conclusions remain defensible.

🌐 https://insybio.com/
💻 https://insybio.com/get-a-free-one-month-license-of-insybio-suite/

09/21/2026

📖 A new GALATEA-supported preprint presents a systems-level “Proteomic Atlas of Human Milk.”

🧬 By harmonizing mass-spectrometry proteomics datasets, the study identified 2,911 human-milk proteins and defined a core set of 645 consistently detected proteins.

🕸️ A machine-learning-based approach was then used to reconstruct a predicted PPI network containing 12,550 positive interactions. Network analysis highlighted functional modules related to immune defence, vesicle-mediated secretion and proteostatic control.

📊 Regulatory-network comparisons also identified shared central proteins between human milk and cardiovascular disease-related molecular networks, providing new hypotheses for understanding the broader biological roles of milk proteins.

🌐 The project produced a public Human Milk Proteomic Atlas:
http://atlas-galatea.insybio.com/

🇪🇺 The work was developed within GALATEA, a Horizon Europe Marie Skłodowska-Curie project building a digital-twin framework for human milk and personalized infant nutrition. GALATEA includes 11 partners across 5 European countries, with InSyBio participating as consortium partner Intelligent Systems Biology PC.

🤝 InSyBio-affiliated researchers contributed to the study, while InSyBio BioNets was used for network analysis, clustering and network comparison.

⚠️ This is a preprint and has not yet undergone peer review.

📄 https://www.researchsquare.com/article/rs-10089470/v1
🇪🇺 https://galateahe.eu/

09/15/2026

⏳ Tomorrow is the day.

InSyBio’s hands-on webinar “Python for Mass Spectrometry, Proteomics & Multi-Omics Analysis” takes place online tomorrow from 5:00 PM to 10:00 PM EEST.

🐍 The workshop is designed for researchers who want to move beyond fragmented scripts and understand the complete analytical workflow — from raw mass-spectrometry data to statistics, visualization, functional interpretation and multi-omics integration.

🧪 Practical exercises are included throughout, followed by a Bring Your Own Data session for participants who want guided support with their own research datasets.

🎓 Certificate of attendance included.

🎟️ Registration:
https://www.eventbrite.com/e/python-for-mass-spectrometry-proteomics-multi-omics-analysis-tickets-1990405565627?aff=oddtdtcreator

ℹ️ Full programme:
https://insybio.com/events/event/python-for-mass-spectrometry-proteomics-multi-omics-analysis/

09/14/2026

Bioinformatics tip: centrality is useful, but context matters.

A highly connected node in a biological network may be important structurally, but that does not automatically make it a useful biomarker.

Before interpreting a hub, consider:
✅ Stability across preprocessing choices
✅ Replication across datasets
✅ Differences between biological conditions
✅ Supporting functional evidence
✅ Possible bias from network density or missing interactions

🧬 Comparing how a node’s role changes between healthy and disease networks can often be more informative than its absolute centrality in one graph.

🌐 Explore InSyBio BioNets:
https://insybio.com/insybio-bionets/

09/11/2026

📊 Have the data — but not enough time to build every analysis workflow internally?

InSyBio’s BioData Analysis Services support research, biotech and pharma teams with computational analysis powered by InSyBio Suite.

🧬 Projects can include omics analysis, biomarker discovery, predictive modelling, biological-network analysis, statistical workflows and result interpretation.

💻 The aim is to provide a structured and reproducible path from raw or processed biological data to analysis outputs, reports and models that can be evaluated by the research team.

🌐 Learn more:
https://insybio.com/pay-upon-success-biodata-analysis-services/

💻 Explore InSyBio Suite:
https://insybio.com/get-a-free-one-month-license-of-insybio-suite/

09/10/2026

🗂️ Before running an analysis, organize the data behind it.

InSyBio DataStore helps researchers upload, store, classify and retrieve biological datasets in a central web-based environment.

🔐 DataStore supports secure data transfer and storage while keeping uploaded and generated datasets available for connected InSyBio Suite workflows.

🧬 That means the same data-management layer can support work across BioNets, ncRNA Seq, Biomarkers, Interact, DNA Seq and other analyses without relying on disconnected local folders.

💡 Better organization means fewer avoidable mistakes and a clearer path from input data to final results.

🌐 https://insybio.com/insybio-datastore/
💻 https://insybio.com/get-a-free-one-month-license-of-insybio-suite/

09/09/2026

🕸️ Explore biological networks with InSyBio BioNets.

🎥 In our newest demo, data analyst Harry Zaverdas shows how researchers can move from molecular data stored in InSyBio DataStore to a gene co-expression network, interactive visualization and deeper network analysis.

The workflow includes:
✅ Gene co-expression network creation
✅ Interactive node and network exploration
✅ Network export and layout customization
✅ Clustering to identify connected biological communities
✅ Network characteristics and potential hubs
✅ Comparison of healthy and disease networks
✅ BioInfoLLM™ guidance during analysis

🎥 Watch:
https://www.loom.com/share/cd66f70b845d44b891ec5268e8a50369

🌐 Learn more:
https://insybio.com/insybio-bionets/

💻 Free one-month InSyBio Suite license:
https://insybio.com/get-a-free-one-month-license-of-insybio-suite/

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09/08/2026

🐍 Our September hands-on bioinformatics workshop is coming up next week.

🧬 “Python for Mass Spectrometry, Proteomics & Multi-Omics Analysis” will take place online on September 16 and will cover practical workflows from raw MS preprocessing and protein identification to statistical analysis, visualization, pathway analysis and multi-omics integration.

💻 The session includes hands-on exercises and a dedicated Bring Your Own Data segment, where participants can work through their own analysis questions with guided support.

🎓 Participants will receive a certificate of attendance.

📅 September 16, 2026
🕔 5:00 PM–10:00 PM EEST
🌐 Online

🎟️ Register:
https://www.eventbrite.com/e/python-for-mass-spectrometry-proteomics-multi-omics-analysis-tickets-1990405565627?aff=oddtdtcreator

ℹ️ Learn more:
https://insybio.com/events/event/python-for-mass-spectrometry-proteomics-multi-omics-analysis/