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The amount of non-unique sequence (non-singletons) in a genome directly affects the difficulty of read alignment to a reference assembly for high throughput-sequencing data. Although a greater length increases the chance for reads being…

Genomics · Quantitative Biology 2017-03-03 Wentian Li , Jan Freudenberg , Pedro Miramontes

Segmental duplications (SDs), or low-copy repeats (LCR), are segments of DNA greater than 1 Kbp with high sequence identity that are copied to other regions of the genome. SDs are among the most important sources of evolution, a common…

Data Structures and Algorithms · Computer Science 2018-09-25 Ibrahim Numanagić , Alim S. Gökkaya , Lillian Zhang , Bonnie Berger , Can Alkan , Faraz Hach

Motivation: Array Comparative Genomic Hybridization (aCGH) is used to scan the entire genome for variations in DNA copy number. A central task in the analysis of aCGH data is the segmentation into groups of probes sharing the same DNA copy…

Quantitative Methods · Quantitative Biology 2008-04-29 Erez Ben-Yaacov , Yonina Eldar

We quantify the VDJ recombination and somatic hypermutation processes in human B-cells using probabilistic inference methods on high-throughput DNA sequence repertoires of human B-cell receptor heavy chains. Our analysis captures the…

Populations and Evolution · Quantitative Biology 2016-02-10 Yuval Elhanati , Zachary Sethna , Quentin Marcou , Curtis G. Callan , Thierry Mora , Aleksandra M. Walczak

Thousands of candidate human-specific regulatory sequences (HSRS) have been identified, supporting the hypothesis that unique to human phenotypes result from human-specific alterations of genomic regulatory networks. Here, conservation…

Genomics · Quantitative Biology 2025-12-30 Gennadi Glinsky

We present a novel method for identification of the boundary of embryonic cells (blastomeres) in Hoffman Modulation Contrast (HMC) microscopic images that are taken between day one to day three. Identification of boundaries of blastomeres…

Computer Vision and Pattern Recognition · Computer Science 2019-10-15 Shakiba Kheradmand , Parvaneh Saeedi , Jason Au , John Havelock

The expression levels of many thousands of genes can be measured simultaneously by DNA microarrays (chips). This novel experimental tool has revolutionized research in molecular biology and generated considerable excitement. A typical…

Biological Physics · Physics 2007-05-23 Eytan Domany

The paternally inherited Y chromosome has been widely used in population genetic studies to understand relationships among human populations. Our interpretation of Y chromosomal evidence about population history and genetics has rested on…

Populations and Evolution · Quantitative Biology 2014-02-28 Chuan-Chao Wang , Li Jin , Hui Li

To better understand DNA's 3D folding in cell nuclei, researchers developed chromosome capture methods such as Hi-C that measure the contact frequencies between all DNA segment pairs across the genome. As Hi-C data sets often are massive,…

Biological Physics · Physics 2023-11-14 Anton Holmgren , Dolores Bernenko , Ludvig Lizana

Recently, scientists from The Craig J. Venter Institute reported construction of very long DNA molecules using a variety of experimental procedures adopting a number of working hypotheses. Finding a mathematical rule for generation of such…

Other Quantitative Biology · Quantitative Biology 2010-05-05 Sk. Sarif Hassana , Pabitra Pal Choudhury , Amita Pal , R. L. Brahmachary , Arunava Goswami

Binary stars are prevalent yet challenging to detect. We present a novel approach using convolutional neural networks (CNNs) to identify binary stars from low-resolution spectra obtained by the LAMOST survey. The CNN is trained on a dataset…

Solar and Stellar Astrophysics · Physics 2025-02-25 Yingjie Jing , Tian-Xiang Mao , Jie Wang , Chao Liu , Xiaodian Chen

Clusters of genes that have evolved by repeated segmental duplication present difficult challenges throughout genomic analysis, from sequence assembly to functional analysis. Improved understanding of these clusters is of utmost importance,…

Machine Learning · Computer Science 2010-01-25 Tomáš Vinař , Broňa Brejová , Giltae Song , Adam Siepel

Microbial clades modeling is a challenging problem in biology based on microarray genome sequences, especially in new species gene isolates discovery and category. Marker family genome sequences play important roles in describing specific…

Quantitative Methods · Quantitative Biology 2019-04-22 Jingwei Liu

Several processes in the cell, such as gene regulation, start when key proteins recognise and bind to short DNA sequences. However, as these sequences can be hundreds of million times shorter than the genome, they are hard to find by simple…

Subcellular Processes · Quantitative Biology 2021-01-27 Markus Nyberg , Tobias Ambjörnsson , Per Stenberg , and Ludvig Lizana

By analyzing the spacing of genes on chromosomes, we find that transcriptional and RNA-processing regulatory sequences outside coding regions leave footprints on the distribution of intergenic distances. Using analogies between genes on…

Genomics · Quantitative Biology 2008-03-11 Rutger Hermsen , Pieter Rein ten Wolde , Sarah Teichmann

Single-nucleotide polymorphisms (SNPs) account for most variations between human genomes. We show how, if the genomes in a database differ only by a reasonable number of SNPs and the substrings between those SNPs are unique, then we can…

Data Structures and Algorithms · Computer Science 2014-07-02 Travis Gagie

To increase the information capacity of DNA storage, composite DNA letters were introduced. We propose a novel channel model for composite DNA in which composite sequences are decomposed into ordered standard non-composite sequences. The…

Information Theory · Computer Science 2025-10-31 Besart Dollma , Ohad Elishco , Eitan Yaakobi

Predicting the impacts of coronal mass ejections (CMEs) is a major focus of current space weather forecasting efforts. Typically, CME properties are reconstructed from stereoscopic coronal images and then used to forward model a CME's…

Solar and Stellar Astrophysics · Physics 2024-04-05 C. Kay , E. Palmerio

Despite advances in data augmentation and transfer learning, convolutional neural networks (CNNs) difficultly generalise to unseen domains. When segmenting brain scans, CNNs are highly sensitive to changes in resolution and contrast: even…

Image and Video Processing · Electrical Eng. & Systems 2023-03-01 Benjamin Billot , Douglas N. Greve , Oula Puonti , Axel Thielscher , Koen Van Leemput , Bruce Fischl , Adrian V. Dalca , Juan Eugenio Iglesias
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