Material Type  

 학위논문

 

0017163587

Date and Time of Latest Transaction  

20250211152728

ISBN  

9798384492894

DDC  

575

Author  

Reyna, Joaquin.

Title/Author  

Building Multiomics Analysis Tools for a Holistic Understanding of Biological Systems.

Publish Info  

[S.l.] : University of California, San Diego., 2024

Publish Info  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Material Info  

104 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-04, Section: B.

General Note  

Includes supplementary digital materials.

General Note  

Advisor: Ay, Ferhat;Chavez Kuss, Lukas Werner.

학위논문주기  

Thesis (Ph.D.)--University of California, San Diego, 2024.

Abstracts/Etc  

요약The massive generation of genetic, epigenetic, transcriptomic, and other sources of data, allows us to pursue biological questions at scale while simultaneously adding a systems-level context to hypotheses in biology. Questions about gene expression have driven us to understand various chromatin components, most recently that has lead to the study of chromatin conformation via high-throughput methods such as HiC or HiChIP. To obtain a full understanding of chromatin conformation, integration with genetics variants (e.g. SNPs from GWAS and eQTL studies) and epigenetics signals (e.g. histone acetylation, open chromatin regions, transcription factor binding, etc) is essential. Similarly, complex diseases such as cancer can advance via a system of distinct factors that interact to form a deliberate and potent pathogenic regulatory network. Thus, it is imperative we build the resources and tools necessary to integrate multiomics signals together.Here, I present three chapters derived from two major works that demonstrate the importance of data integration for a holistic understanding of biology. First, I present a database of HiChIP data for over 1000 samples (chapter 1) with important applications for the analysis of motifs, GWAS and eQTL studies, and network analysis (chapter 2). Second, I showcase and described the nipalsMCIA R package which reduces datasets for a systems level analysis of multiomics data (chapter 3).

Subject Added Entry-Topical Term  

Genetics.

Subject Added Entry-Topical Term  

Biology.

Subject Added Entry-Topical Term  

Bioinformatics.

Index Term-Uncontrolled  

Chromatin conformation

Index Term-Uncontrolled  

Database

Index Term-Uncontrolled  

Multiomics

Index Term-Uncontrolled  

Epigenetics

Index Term-Uncontrolled  

Transcription factor binding

Added Entry-Corporate Name  

University of California, San Diego Bioinformatics and Systems Biology

Host Item Entry  

Dissertations Abstracts International. 86-04B.

Electronic Location and Access  

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Control Number  

joongbu:657893