منابع مشابه
SMC proteins
What do SMCs do in the cell? Each SMC dimer forms a functional complex with a distinct set of non-SMC subunits. SMC1–3 forms the core of the cohesin complex that functions in sister chromatid cohesion (Figure 1, left). SMC2–4 forms part of the condensin complex, a key player in mitotic chromosome condensation (Figure 1, right). Bacterial SMC is involved in chromosome partitioning and is thought...
متن کاملConvergence Analysis for the SMC-MeMBer and SMC-CBMeMBer Filters
The convergence for the sequential Monte Carlo SMC implementations of the multitarget multiBernoulli MeMBer filter and cardinality-balanced MeMBer CBMeMBer filters is studied here. This paper proves that the SMC-MeMBer and SMC-CBMeMBer filters, respectively, converge to the true MeMBer and CBMeMBer filters in the mean-square sense and the corresponding bounds for the mean-square errors are give...
متن کاملCrystal structure of the SMC head domain: an ABC ATPase with 900 residues antiparallel coiled-coil inserted.
SMC (structural maintenance of chromosomes) proteins are large coiled-coil proteins involved in chromosome condensation, sister chromatid cohesion, and DNA double-strand break processing. They share a conserved five-domain architecture with three globular domains separated by two long coiled-coil segments. The coiled-coil segments are antiparallel, bringing the N and C-terminal globular domains...
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The ABC conjecture of Masser and Oesterlé states that if (a, b, c) are coprime integers with a+ b+ c = 0, then sup(|a|, |b|, |c|) < cǫ(rad(abc)) 1+ǫ for any ǫ > 0. In [2], Oesterlé observes that if the ABC conjecture holds for all (a, b, c) with 16|abc, then the full ABC conjecture holds. We extend that result to show that, for every integer N , the “congruence ABC conjecture” that ABC holds fo...
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Approximate Bayesian computation (ABC) is a powerful and elegant framework for performing inference in simulation-based models. However, due to the difficulty in scaling likelihood estimates, ABC remains useful for relatively low-dimensional problems. We introduce Hamiltonian ABC (HABC), a set of likelihood-free algorithms that apply recent advances in scaling Bayesian learning using Hamiltonia...
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2020
ISSN: 1061-8600,1537-2715
DOI: 10.1080/10618600.2020.1775617