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Three-point contact data for "Multi-contact statistics distinguish models of chromosome organization"

NIAID Data Ecosystem2026-05-02 收录

染色体三维结构

基因组学建模

数据链接：

https://zenodo.org/record/14065129 数据链接链接失效反馈

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资源简介：

Three-point contact data for the publication "Multi-contact statistics distinguish models of chromosome organization".

应用场景：

创建时间：

2024-11-11

基因组学建模

马尔可夫链偏差分析

The table shows the different assumptions and biases associated with the corresponding Markov chain model used to approximate genomic oligonucleotide frequencies.

NIAID Data Ecosystem80

Additional file 1 of Statistical learning quantifies transposable element-mediated cis-regulation

转座因子调控

基因组学建模

Additional file 1: Table S1. Differences in TE subfamily cis-regulatory activities estimated by craTEs across experiments presented in Fig. 1C.

Figshare2024-08-16 更新40

Bacterial artificial chromosomes establish replication timing and sub-nuclear compartment de novo as extra-chromosomal vectors [4C]

时序控制

染色体三维结构

The role of DNA sequence in determining replication timing (RT) and chromatin higher order organization remains elusive. To address this question, we have developed an extra-chromosomal replication sy

NIAID Data Ecosystem20

Chronic loss of STAG2 leads to altered chromatin structure contributing to deregulated transcription in AML

AML表观遗传学

染色体三维结构

In this study, we use functional genomics to investigate the impact of chronic STAG2 loss on three-dimensional genome structure and transcriptional programming. We show that STAG1 partially functional

NIAID Data Ecosystem50

Associated data for D-SCRIPT, Cell Systems

蛋白质相互作用

基因组学建模

Trained models, processed sequence and PPI training data, and new predictions described in "D-SCRIPT translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of prot

NIAID Data Ecosystem30

Three-point contact data for "Multi-contact statistics distinguish models of chromosome organization"

资源简介：

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