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Titlebook: Hi-C Data Analysis; Methods and Protocol Silvio Bicciato,Francesco Ferrari Book 2022 Springer Science+Business Media, LLC, part of Springer

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61#
發(fā)表于 2025-4-1 04:11:30 | 只看該作者
Metagenomes Binning Using Proximity-Ligation Data,ysis tends to elude the complexity of the mixes in terms of species, strains, as well as extrachromosomal DNA molecules. Recently, approaches have been developed that bins DNA contigs into individual genomes and episomes according to their 3D contact frequencies. Those contacts are quantified by chr
62#
發(fā)表于 2025-4-1 06:07:31 | 只看該作者
63#
發(fā)表于 2025-4-1 14:04:00 | 只看該作者
Computational Tools for the Multiscale Analysis of Hi-C Data in Bacterial Chromosomes,erlapping interaction domains. In this chapter, we present a multiscale analysis framework aiming at capturing and quantifying these properties. These include both standard tools (e.g., contact laws) and novel ones such as an index that allows identifying loci involved in domain formation independen
64#
發(fā)表于 2025-4-1 17:21:46 | 只看該作者
Analysis of HiChIP Data,igation of chromatin structures driven by specific proteins. This approach has been shown to be very efficient as it reliably reproduces Hi-C results and displays a higher rate of informative reads with a required lower amount of input cells when compared with other ChIP-based techniques (as ChIA-PE
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