Mateusz Garbulowski

Postdoc at Stockholm University, Science for Life Laboratory.

[The Pfam database @PfamDB]

We'd like to remind Pfam users that we are not retiring the Pfam database, only the Pfam website! We are even preparing a new Pfam data release 😉

[InterPro @InterProDB]

We have updated the InterPro protein viewer to the latest version of the Nightingale (v4). It allows to display the entries short names directly on the viewer.
Have a look:
https://t.co/SRMbSjE61l

[SciLifeLab @scilifelab]

New research tool InParanoiDB 9 helps understand protein orthology relationships between organisms with over 1 billion predicted ortholog groups from 640 species. Developed by SciLifeLab researchers @eriksonnhammer (SU) and Emma Persson (SU).

Learn more:
https://t.co/R09Y4aDFAp

[Erik Sonnhammer @eriksonnhammer]

Check out a video tutorial of online network-based PATHWAY ANALYSIS using https://t.co/hEaGsu1qIY. It uses the #FunCoup network database for crosstalk analysis. https://t.co/d0o5JRM2qo https://t.co/fLvCkAiWo2 https://t.co/ilkmEZdIZz @sonnhammerlab #genenetwork #proteinnetwork

[Mateusz Garbulowski @mgarbulowski]

I warmly invite for Erasmus+ traineeship opportunity for students from Ukraine. Project involves inference and analysis of gene regulatory networks. Deadline 19 April. More information on the website. https://t.co/qYnajljTIg
#erasmus #Bioinformatics

[Erik Sonnhammer @eriksonnhammer]

We present a new web server for online benchmarking of #generegulatorynetwork inference methods, to complement the @DR_E_A_M challenges. See paper in @NAR_Open https://t.co/MSCa7ZPfya #SystemsBiology #Bioinformatics

[Erik Sonnhammer @eriksonnhammer]

“Knowledge of the perturbation design is essential for accurate #generegulatorynetwork inference” is the title and outcome of our latest paper benchmarking GRN inference methods. See https://t.co/f7Othzgf5g in @SciReports #SystemsBiology #Bioinformatics

[Erik Sonnhammer @eriksonnhammer]

Our new method "TOPAS, a network-based approach to detect disease modules in a top-down fashion" is published in NAR GAB, see https://t.co/7lNIQUZLZ3 #networkbiology #Bioinformatics

[Erik Sonnhammer @eriksonnhammer]

Introducing GRNIC, a GRN information criterion for optimal sparsity selection in #generegulatorynetwork inference. See our new paper on the SPA method https://t.co/jCaeC9t03H in @FrontGenetics #SystemsBiology #Bioinformatics

[Mateusz Garbulowski @mgarbulowski]

Northern lights in Gamla Uppsala 27-02-2023. Such a magnificent show! #NorthernLights #uppsala #Auroraborealis

[Erik Sonnhammer @eriksonnhammer]

InParanoiDB release 9 is out at https://t.co/sxr51mrjk1. NEW: covers orthology both at the domain level and full-length protein level, for 640 species. Domainoid, @PfamDB, DIAMOND were used. Paper at https://t.co/vLeJkKBpdp #InParanoid

[Erik Sonnhammer @eriksonnhammer]

Release 5 of the 𝗙𝘂𝗻𝗖𝗼𝘂𝗽 database of functional association networks enables tissue-specific network analysis. This example shows a Hedgehog signaling network in all tissues (left), and limited to the Cerebral cortex (right). From https://t.co/y3vu22XTL0 #genenetwork

[SciLifeLab @scilifelab]

Perturbations, disturbances, revealed to be indispensable for Gene Regulatory Networks, finds @eriksonnhammer (@Stockholm_Uni) in a recent study.

Learn more ↓
https://t.co/z39UQZansc

[Mateusz Garbulowski @mgarbulowski]

#MachineLearning #batcheffect #transcriptomics #glioma

https://t.co/J10hTE6Pfh

[Mateusz Garbulowski @mgarbulowski]

R.ROSETTA: an interpretable machine learning framework

https://t.co/J6WrQol4gv

#rpackage #machinelearning #rulebasedlearning #roughsets #interpretablelearning #rrosetta

[Mateusz Garbulowski @mgarbulowski]

Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder https://t.co/oNcc5yjEFX

#machinelearning #asd #rulebasedlearning #roughsets #networks