English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The 3-dimensional (3D) structure of the genome is of significant importancefor many cellular processes. In this paper, we study the problem ofreconstructing the 3D structure of chromosomes from Hi-C data of diploidorganisms, which poses additional challenges compared to the better-studiedhaploid setting. With the help of techniques from algebraic geometry, we provethat a small amount of phased data is sufficient to ensure finiteidentifiability, both for noiseless and noisy data. In the light of theseresults, we propose a new 3D reconstruction method based on semidefiniteprogramming, paired with numerical algebraic geometry and local optimization.The performance of this method is tested on several simulated datasets underdifferent noise levels and with different amounts of phased data. We also applyit to a real dataset from mouse X chromosomes, and we are then able to recoverpreviously known structural features.

3D genome reconstruction from partially phased Hi-C data