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This paper provides a framework in order to statistically model sequences from human genome, which is allowing a formulation to synthesize gene sequences. We start by converting the alphabetic sequence of genome to decimal sequence by…

Other Quantitative Biology · Quantitative Biology 2019-08-12 Salman Mohamadi , Farhang Yeganegi , Hamidreza Amindavar

High quality gene models are necessary to expand the molecular and genetic tools available for a target organism, but these are available for only a handful of model organisms that have undergone extensive curation and experimental…

de Bruijn graph-based algorithms are one of the two most widely used approaches for de novo genome assembly. A major limitation of this approach is the large computational memory space requirement to construct the de Bruijn graph, which…

Data Structures and Algorithms · Computer Science 2011-07-11 Chengxi Ye , Zhanshan Sam Ma , Charles H. Cannon , Mihai Pop , Douglas W. Yu

Biological data mainly comprises of Deoxyribonucleic acid (DNA) and protein sequences. These are the biomolecules which are present in all cells of human beings. Due to the self-replicating property of DNA, it is a key constitute of genetic…

Other Quantitative Biology · Quantitative Biology 2020-06-04 Shakeela Bibi , Javed Iqbal , Adnan Iftekhar , Mir Hassan

DNA sequencing allows for the determination of the genetic code of an organism, and therefore is an indispensable tool that has applications in Medicine, Life Sciences, Evolutionary Biology, Food Sciences and Technology, and Agriculture. In…

Quantum Physics · Physics 2023-04-24 Nouhaila Innan , Muhammad Al-Zafar Khan

The third-generation long reads sequencing technologies, such as PacBio and Nanopore, have great advantages over second-generation Illumina sequencing in de novo assembly studies. However, due to the inherent low base accuracy,…

Genomics · Quantitative Biology 2020-03-27 Hengchao Wang , Bo Liu , Yan Zhang , Fan Jiang , Yuwei Ren , Lijuan Yin , Hangwei Liu , Sen Wang , Wei Fan

We consider the problem of assembling a sequence based on a collection of its substrings observed through a noisy channel. The mathematical basis of the problem is the construction and design of sequences that may be discriminated based on…

Information Theory · Computer Science 2015-11-04 Han Mao Kiah , Gregory J. Puleo , Olgica Milenkovic

The immense increase in the generation of genomic scale data poses an unmet analytical challenge, due to a lack of established methodology with the required flexibility and power. We propose a first principled approach to statistical…

We consider the problem of storing and retrieving information from synthetic DNA media. The mathematical basis of the problem is the construction and design of sequences that may be discriminated based on their collection of substrings…

Information Theory · Computer Science 2015-02-03 Han Mao Kiah , Gregory J. Puleo , Olgica Milenkovic

The typical process for classifying and submitting a newly sequenced virus to the NCBI database involves two steps. First, a BLAST search is performed to determine likely family candidates. That is followed by checking the candidate…

Genomics · Quantitative Biology 2016-03-22 Troy Hernandez , Jie Yang

Short-read DNA sequencing instruments can yield over 1e+12 bases per run, typically composed of reads 150 bases long. Despite this high throughput, de novo assembly algorithms have difficulty reconstructing contiguous genome sequences using…

Genomics · Quantitative Biology 2023-06-09 Eric Chen , Justin Chu , Jessica Zhang , Rene L. Warren , Inanc Birol

The Genomic Foundation Model (GFM) paradigm is expected to facilitate the extraction of generalizable representations from massive genomic data, thereby enabling their application across a spectrum of downstream applications. Despite…

Genomics · Quantitative Biology 2024-06-06 Zicheng Liu , Jiahui Li , Siyuan Li , Zelin Zang , Cheng Tan , Yufei Huang , Yajing Bai , Stan Z. Li

Self-assembly is a process found everywhere in the Nature. In particular, it is known that DNA self-assembly is Turing universal. Thus one can do arbitrary computations or build nano-structures using DNA self-assembly. In order to…

Emerging Technologies · Computer Science 2016-07-14 Dixita Limbachiya , Dhaval Trivedi , Manish K Gupta

The recent advances in sequencing technologies enables the assembly of individual genomes to the reference quality. How to integrate multiple genomes from the same species and to make the integrated representation accessible to biologists…

Genomics · Quantitative Biology 2020-03-16 Heng Li , Xiaowen Feng , Chong Chu

In order to overcome the limitations imposed by DNA barcoding when multiplexing a large number of samples in the current generation of high-throughput sequencing instruments, we have recently proposed a new protocol that leverages advances…

Quantitative Methods · Quantitative Biology 2013-08-02 Denisa Duma , Mary Wootters , Anna C. Gilbert , Hung Q. Ngo , Atri Rudra , Matthew Alpert , Timothy J. Close , Gianfranco Ciardo , Stefano Lonardi

Artificial RNA molecules with novel functionality have many applications in synthetic biology, pharmacy and white biotechnology. The de novo design of such devices using computational methods and prediction tools is a resource-efficient…

Biomolecules · Quantitative Biology 2019-05-13 Stefan Hammer , Christian Günzel , Mario Mörl , Sven Findeiß

Sequencing by synthesis is the underlying technology for many next-generation DNA sequencing platforms. We developed a new model, the fixed flow cycle model, to derive the distributions of sequence length for a given number of flow cycles…

Genomics · Quantitative Biology 2024-05-28 Yong Kong

The article presents the theoretical foundations of the algorithm for calculating the number of different genomes in the medium under study and of two algorithms for determining the presence of a particular (known) genome in this medium.…

Genomics · Quantitative Biology 2015-06-23 Valery Kirzhner , Zeev Volkovich

Deciphering cell type heterogeneity is crucial for systematically understanding tissue homeostasis and its dysregulation in diseases. Computational deconvolution is an efficient approach estimating cell type abundances from a variety of…

Other Quantitative Biology · Quantitative Biology 2023-09-06 Lana X. Garmire , Yijun Li , Qianhui Huang , Chuan Xu , Sarah Teichmann , Naftali Kaminski , Matteo Pellegrini , Quan Nguyen , Andrew E. Teschendorff

Advances in data collecting technologies in genomics have significantly increased the need for tools designed to study the genetic basis of many diseases. Effective statistical methods should excel in both prediction accuracy and biomarker…

Methodology · Statistics 2025-11-13 Anthony-Alexander Christidis , Stefan Van Aelst , Ruben Zamar