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Networks provide a meaningful way to represent and analyze complex biological information, but the methodological details of network-based tools are often described for a technical audience. Graphery is a hands-on tutorial webserver…

Molecular Networks · Quantitative Biology 2024-02-19 Heyuan Zeng , Jinbiao Zhang , Gabriel A. Preising , Tobias Rubel , Pramesh Singh , Anna Ritz

It has been estimated that about 30% of the genes in the human genome are regulated by microRNAs (miRNAs). These are short RNA sequences that can down-regulate the levels of mRNAs or proteins in animals and plants. Genes regulated by miRNAs…

Applications · Statistics 2011-01-10 Francesco C. Stingo , Yian A. Chen , Marina Vannucci , Marianne Barrier , Philip E. Mirkes

To facilitate flexible and efficient structural bioinformatics analyses, new functionality for three-dimensional structure processing and analysis has been introduced into PyCogent -- a popular feature-rich framework for sequence-based…

Biomolecules · Quantitative Biology 2018-10-01 Marcin Cieslik , Zygmunt Derewenda , Cameron Mura

Epigenetics encompasses mechanisms that can alter the expression of genes without changing the underlying genetic sequence. The epigenetic regulation of gene expression is initiated and sustained by several mechanisms such as DNA…

Genomics · Quantitative Biology 2025-04-08 Muhammad Tahir , Mahboobeh Norouzi , Shehroz S. Khan , James R. Davie , Soichiro Yamanaka , Ahmed Ashraf

Phylogenetic networks represent evolutionary history of species and can record natural reticulate evolutionary processes such as horizontal gene transfer and gene recombination. This makes phylogenetic networks a more comprehensive…

Populations and Evolution · Quantitative Biology 2021-06-15 Remie Janssen , Pengyu Liu

Circular genome visualizations are essential for exploring structural variants and gene regulation. However, existing tools often require complex scripting and manual configuration, making the process time-consuming, error-prone, and…

Genomics · Quantitative Biology 2025-07-08 Chi Zhang , Yu Dong , Yang Wang , Yuetong Han , Guihua Shan , Bixia Tang

Single-cell RNA sequencing (scRNA-seq) is essential for decoding tumor heterogeneity. However, pan-cancer research still faces two key challenges: learning discriminative and efficient single-cell representations, and establishing a…

Genomics · Quantitative Biology 2025-12-04 Xiaoshui Huang , Tianlin Zhu , Yifan Zuo , Xue Xia , Zonghan Wu , Jiebin Yan , Dingli Hua , Zongyi Xu , Yuming Fang , Jian Zhang

The Phylogenetic Genome Annotator (PGA) is a computer program that enables real-time comparison of 'gene trees' versus 'species trees' obtained from predicted open reading frames of whole genome data. The gene phylogenies are inferred for…

Populations and Evolution · Quantitative Biology 2014-04-04 Paulo Bandiera-Paiva , Marcelo R. S. Briones

Identifying measurable genetic indicators (or biomarkers) of a specific condition of a biological system is a key element of precision medicine. Indeed it allows to tailor diagnostic, prognostic and treatment choice to individual…

Machine Learning · Statistics 2016-12-16 Chloé-Agathe Azencott

Large scale databases are available that contain homologous gene families constructed from hundreds of complete genome sequences from across the three domains of Life. Here we discuss approches of increasing complexity aimed at extracting…

Genomics · Quantitative Biology 2011-02-14 Gergely J Szöllősi , Vincent Daubin

Spanning two decades, the Encyclopaedia of DNA Elements (ENCODE) is a collaborative research project that aims to identify all the functional elements in the human and mouse genomes. To best serve the scientific community, all data…

Coding information is the main source of heterogeneity (non-randomness) in the sequences of bacterial genomes. This information can be naturally modeled by analysing cluster structures in the "in-phase" triplet distributions of relatively…

Genomics · Quantitative Biology 2011-11-09 A. N. Gorban , T. G. Popova , A. Yu. Zinovyev

Pangenomics uses graph-based models to represent and study the genetic variation between individuals of the same species or between different species. In such variation graphs, a path through the graph represents one individual genome.…

Data Structures and Algorithms · Computer Science 2026-03-05 Athanasios E. Zisis , Pål Sætrom

Automated analysis of imaged phenotypes enables fast and reproducible quantification of biologically relevant features. Despite recent developments, recordings of complex, networked structures, such as: leaf venation patterns, cytoskeletal…

Quantitative Methods · Quantitative Biology 2017-06-01 David Breuer , Zoran Nikoloski

Protein-protein interaction (PPI) networks, providing a comprehensive landscape of protein interacting patterns, enable us to explore biological processes and cellular components at multiple resolutions. For a biological process, a number…

Molecular Networks · Quantitative Biology 2016-04-13 Xiuli Ma , Guangyu Zhou , Jingjing Wang , Jian Peng , Jiawei Han

The analysis of the leukemia data from Whitehead/MIT group is a discriminant analysis (also called a supervised learning). Among thousands of genes whose expression levels are measured, not all are needed for discriminant analysis: a gene…

Biological Physics · Physics 2007-05-23 Wentian Li , Yaning Yang

Detecting communities, densely connected groups may contribute to unravel the underlying relationships among the units present in diverse biological networks (e.g., interactome, coexpression networks, ecological networks, etc.). We recently…

Molecular Networks · Quantitative Biology 2014-04-11 Rodrigo Aldecoa , Ignacio Marín

The analysis and interpretation of relationships between biological molecules is done with the help of networks. Networks are used ubiquitously throughout biology to represent the relationships between genes and gene products. Network…

Computational Engineering, Finance, and Science · Computer Science 2012-11-13 Rashmi Rameshwari , T. V. Prasad

Phages are one of the most present groups of organisms in the biosphere. Their identification continues and their taxonomies are divergent. However, due to their evolution mode and the complexity of their species ecosystem, their…

Populations and Evolution · Quantitative Biology 2022-01-04 Dung Nguyen , Alix Boc , Abdoulaye Banire Diallo , Vladimir Makarenkov

In this paper we introduce the phylogenetic scan test (PhyloScan) for investigating cross-group differences in microbiome compositions using the Dirichlet-tree multinomial (DTM) model. DTM models the microbiome data through a cascade of…

Applications · Statistics 2017-03-20 Yunfan Tang , Li Ma , Dan L. Niclolae