The grand biological universe: A comprehensive geometric construction of genome space

Analyzing the geometric relationships among genomic sequences from a mathematical perspective and revealing the laws hidden within these relationships is a crucial challenge in bioinformatics. The natural vector method constructs a genome space by extracting statistical moments of <i>k</i>-mers to illuminate the relationships among genomes. This approach highlights a fundamental law in biology known as the convex hull principle, which states that natural vectors corresponding to different types of biological sequences form distinct, non-overlapping convex hulls. Previous studies have validated this important principle across various datasets. However, they often focused on specific kingdoms and did not thoroughly analyze the significance of the dimensions required for the convex hull separation. In this study, we integrate all reliable sequences from different kingdoms to construct the grand biological universe, within which we comprehensively validate the multi-level convex hull principle. We demonstrate that the separation of convex hulls arises from biological properties rather than mathematical characteristics of high-dimensional spaces. Furthermore, we develop suitable metrics within the grand biological universe to facilitate efficient sequence classification. This research advances the convex hull principle through both theoretical development and experimental validation, making significant contributions to the understanding of the geometric structure of genome space.

Authors

Institutions

Publication Details

Journal
The Innovation
Published
2025-05-01
DOI
https://doi.org/10.1016/j.xinn.2025.100937
Citations
1
Primary Topic
Fractal and DNA sequence analysis
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The grand biological universe: A comprehensive geometric construction of genome space

Stephen S.‐T. Yau, Ruohan Ren, Hongyu Yu, Leqi Zhao et al.
1 citations
The Innovation
Fractal and DNA sequence analysis
0.81
article

The grand biological universe: A comprehensive geometric construction of genome space

Stephen S.‐T. Yau, Ruohan Ren, Hongyu Yu, Leqi Zhao, Mengcen Guan, Nan Sun, Tao Zhou
article en
1 citations

Abstract

Analyzing the geometric relationships among genomic sequences from a mathematical perspective and revealing the laws hidden within these relationships is a crucial challenge in bioinformatics. The natural vector method constructs a genome space by extracting statistical moments of <i>k</i>-mers to illuminate the relationships among genomes. This approach highlights a fundamental law in biology known as the convex hull principle, which states that natural vectors corresponding to different types of biological sequences form distinct, non-overlapping convex hulls. Previous studies have validated this important principle across various datasets. However, they often focused on specific kingdoms and did not thoroughly analyze the significance of the dimensions required for the convex hull separation. In this study, we integrate all reliable sequences from different kingdoms to construct the grand biological universe, within which we comprehensively validate the multi-level convex hull principle. We demonstrate that the separation of convex hulls arises from biological properties rather than mathematical characteristics of high-dimensional spaces. Furthermore, we develop suitable metrics within the grand biological universe to facilitate efficient sequence classification. This research advances the convex hull principle through both theoretical development and experimental validation, making significant contributions to the understanding of the geometric structure of genome space.

The InnovationVol. 6(8)
Memorial Sloan Kettering Cancer Center (US), Cornell University (US), Tri-Institutional PhD Program in Chemical Biology (US), Weill Cornell Medicine (US), Beijing Institute of Mathematical Sciences and Applications, Tsinghua University (CN)
Sustainable cities and communities
Openalex Percentile: Top 29%
Fractal and DNA sequence analysis
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.