תקציר
A distributed computing system is a collection of processors that communicate either by reading and writing from shared memory or by sending messages over some communication network. Most prior biologically inspired distributed computing algorithms rely on message passing as the communication model. Here we show that in the process of genome-wide epigenetic modifications, cells utilize their DNA as a shared memory system. We formulate a particular consensus problem, called the epigenetic consensus problem, that cells attempt to solve using this shared memory model and then present algorithms, derive expected run time and discuss, analyze and simulate improved methods for solving this problem. Analysis of real biological data indicates that the computational methods indeed reflect aspects of the biological process for genome-wide epigenetic modifications.
שפה מקורית | אנגלית |
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כותר פרסום המארח | Structural Information and Communication Complexity - 28th International Colloquium, SIROCCO 2021, Proceedings |
עורכים | Tomasz Jurdziński, Stefan Schmid |
מוציא לאור | Springer Science and Business Media Deutschland GmbH |
עמודים | 146-163 |
מספר עמודים | 18 |
מסת"ב (מודפס) | 9783030795269 |
מזהי עצם דיגיטלי (DOIs) | |
סטטוס פרסום | פורסם - 2021 |
פורסם באופן חיצוני | כן |
אירוע | 28th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2021 - Virtual, Online משך הזמן: 28 יוני 2021 → 1 יולי 2021 |
סדרות פרסומים
שם | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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כרך | 12810 LNCS |
ISSN (מודפס) | 0302-9743 |
ISSN (אלקטרוני) | 1611-3349 |
כנס
כנס | 28th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2021 |
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עיר | Virtual, Online |
תקופה | 28/06/21 → 1/07/21 |
הערה ביבליוגרפית
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