Michał Burdukiewicz
@burdukiewicz
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#bioinformatics | #machineLearning | #dataScience | #RStats | @whyRconf
Bialystok, Poland
Joined July 2019
RT @PPMC_UAB: Building or benchmarking tools for predicting liquid-liquid phase separation of proteins? Check our curated datasets for fair….
link.springer.com
Background Proteins self-organize in dynamic cellular environments by assembling into reversible biomolecular condensates through liquid–liquid phase separation (LLPS). These condensates can comprise...
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@CPintadoGrima led this project with fantastic contributions from @OriolBarcenas and @ValentnIglesias. @Eva_Arribas_ provided the benchmark. It’s incredible to think that Salvador Ventura (@PPMC_UAB) set us on this path in 2022 and continued to mentor us through all its meanders!.
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Building or benchmarking tools for predicting liquid-liquid phase separation of proteins? Check our curated datasets for fair benchmarking of LLPS predictors now in @GenomeBiology . 🔬 16 tools already benchmarked!.🌐 #Bioinformatics #PhaseSeparation #llps
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Our first European-level grant! I am extremely happy to be coordinating this effort. It wouldn't have happened without the fantastic contributions of all consortium members, especially Anna-Moniuszko Malinowska, @_jarochi and @ValentnIglesias.
Our @MSCActions Staff Exchange project, OneTick, has been officially accepted! OneTick explores tick-borne diseases through a #onehealth paradigm, linking human, animal, and environmental factors like #climatechange.
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RT @NAWAPoland: 🇬🇧 English version below 👇 . 📣 Znamy wyniki konkursu MSCA Staff Exchanges 2024!. Komisja Europejska rekomendowała do finans….
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Thank you for sharing the information about our #OneTick grant! I feel very privileged to coordinate the @MSCActions Staff Exchanges project!.
📢Projekty z udziałem polskich uczelni i instytutów z finansowaniem #MSCA Staff Exchanges. Jedynym polskim koordynatorem: @UMB_Bialystok – lider #OneTick. Partnerami w konsorcjach m. in.: @ICHBPAN, @JagiellonskiUni, @UniWarszawski, @uniwroc, @UMK_Torun.
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I want to thank all co-authors, especially Aleksandra Kalitnik and @AnnaLassota96! This is the second work related to our AmyloGraph 2.0 project, where we map the landscape of amyloid-amyloid interactions.
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Our review of experimental methods to study #amyloid-amyloid interactions is finally here: We present a set of experimental strategies to comprehensively describe the dynamic and often elusive interactions between amyloid proteins.
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RT @ELIXIREurope: 🙌 Today, ELIXIR representatives visited Poland to discuss opportunities for the country to join ELIXIR. We look forward t….
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Thank you for sharing our work! I am very happy that we collected most databases for #amyloid-like aggregation in a single review. Visit our companion web page:
Aggregating amyloid resources: A comprehensive review of databases on amyloid-like aggregation. Read the article here:
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This project was led by @ValentnIglesias and @_jarochi, with great contributions from @CPintadoGrima, @OriolBarcenas and Salvador Ventura (@PPMC_UAB). Also, this is the first publication leading to the new version of the AmyloGraph database ( 3/3.
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I was personally shocked to see how many great resources are available there and how unique information they provide. Seeing that CPAD 2.0 ( already collects information on the experimental conditions of aggregation experiments was genuinely shocking! 2/3.
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Curious about the scope of data resources available on #amyloid aggregation? Our review provides a comprehensive overview (, and all details are on our dedicated site: Check it out to explore the landscape of amyloid data! 1/3
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RT @CSB_Journal: Challenges and opportunities in processing NanoString nCounter data. Read the article here: https:….
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Wholeheartedly recommended. Simon is a great mentor, Copenhagen is beautiful and the project awe-inspiring!.
One week left to apply!.
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