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One of the fundamental tasks in understanding genomics is the problem of predicting Transcription Factor Binding Sites (TFBSs). With more than hundreds of Transcription Factors (TFs) as labels, genomic-sequence based TFBS prediction is a…

机器学习 · 计算机科学 2017-11-13 Jack Lanchantin , Arshdeep Sekhon , Ritambhara Singh , Yanjun Qi

Multi-sample microarray experiments have become a standard experimental method for studying biological systems. A frequent goal in such studies is to unravel the regulatory relationships between genes. During the last few years, regression…

应用统计 · 统计学 2008-12-18 Nancy R. Zhang , Mary C. Wildermuth , Terence P. Speed

Next-generation sequencing technology enables the identification of thousands of gene regulatory sequences in many cell types and organisms. We consider the problem of testing if two such sequences differ in their number of binding site…

基因组学 · 定量生物学 2014-02-04 Dennis Kostka , Tara Friedrich , Alisha K. Holloway , Katherine S. Pollard

Designing regulatory DNA elements with precise cell-type-specific activity is broadly relevant for cell engineering and gene therapy. Deep generative models can generate functional gene-regulatory elements, but existing methods struggle to…

基因组学 · 定量生物学 2026-04-23 Animesh Awasthi , Raphael Bednarsky , Moritz Schaefer , Christoph Bock

We present MEDUSA, an integrative method for learning motif models of transcription factor binding sites by incorporating promoter sequence and gene expression data. We use a modern large-margin machine learning approach, based on boosting,…

基因组学 · 定量生物学 2007-05-23 Manuel Middendorf , Anshul Kundaje , Mihir Shah , Yoav Freund , Chris H. Wiggins , Christina Leslie

Gene finding is the task of identifying the locations of coding sequences within the vast amount of genetic code contained in the genome. With an ever increasing quantity of raw genome sequences, gene finding is an important avenue towards…

基因组学 · 定量生物学 2025-05-07 Frederikke I. Marin , Dennis Pultz , Wouter Boomsma

We discuss a simple and powerful approach for the ab initio identification of cis-regulatory motifs involved in transcriptional regulation. The method we present integrates several elements: human-mouse comparison, statistical analysis of…

The rapid development of the DNA nanotechnology field has been facilitated by advances in CAD software. However, as more complex concepts arose, the lag between the needs and software capabilities appeared. Further derailed by manual…

定量方法 · 定量生物学 2021-11-30 Samson Petrosyan , Grigory Tikhomirov

Statistical-mechanical lattice models for protein-DNA binding are well established as a method to describe complex ligand binding equilibriums measured in vitro with purified DNA and protein components. Recently, a new field of applications…

生物物理 · 物理学 2014-08-27 Vladimir B. Teif , Karsten Rippe

Figuring out small molecule binding sites in target proteins, in the resolution of either pocket or residue, is critical in many virtual and real drug-discovery scenarios. Since it is not always easy to find such binding sites based on…

定量方法 · 定量生物学 2023-04-19 Daeseok Lee , Jeunghyun Byun , Bonggun Shin

DNA codes have garnered significant interest due to their utilization in digital media storage, cryptography, and DNA computing. In this paper, we first extend the results of constructing reversible group codes \cite{Cengellenmis} and…

信息论 · 计算机科学 2024-09-11 Guodong Wang , Hongwei Liu , Xueyan Chen

In recent years machine learning (ML) took bio- and cheminformatics fields by storm, providing new solutions for a vast repertoire of problems related to protein sequence, structure, and interactions analysis. ML techniques, deep neural…

生物大分子 · 定量生物学 2020-03-31 Marta M. Stepniewska-Dziubinska , Piotr Zielenkiewicz , Pawel Siedlecki

We consider the problem of efficiently designing sets (codes) of equal-length DNA strings (words) that satisfy certain combinatorial constraints. This problem has numerous motivations including DNA computing and DNA self-assembly. Previous…

数据结构与算法 · 计算机科学 2007-05-23 Ming-Yang Kao , Manan Sanghi , Robert Schweller

The genome-scale metabolic model with protein constraint (PC-model) has been increasingly popular for microbial metabolic simulations. We present PROSO Toolbox, a unified and simple-to-use PC-model toolbox that takes any high-quality…

分子网络 · 定量生物学 2023-08-30 Haoyang Yao , Laurence Yang

Transcription factor binding sites vary in their specificity, both within and between species. Binding specificity has a strong impact on the evolution of gene expression, because it determines how easily regulatory interactions are gained…

种群与进化 · 定量生物学 2013-12-30 Alexander J. Stewart , Joshua B. Plotkin

The formation of DNA loops by proteins and protein complexes that bind at distal DNA sites plays a central role in many cellular processes, such as transcription, recombination, and replication. Here we review the basic thermodynamic…

分子网络 · 定量生物学 2007-05-23 Jose M. G. Vilar , Leonor Saiz

DNA is emerging as an increasingly attractive medium for data storage due to a number of important and unique advantages it offers, most notably the unprecedented durability and density. While the technology is evolving rapidly, the…

新兴技术 · 计算机科学 2022-05-03 Dehui Lin , Yasamin Tabatabaee , Yash Pote , Djordje Jevdjic

The transcription of DNA into mRNA is initiated and aided by a number of transcription factors (TFs), proteins with DNA-binding regions that attach themselves to binding sites in the DNA (transcription factor binding sites, TFBSs). As it…

生物大分子 · 定量生物学 2007-05-23 Mikael Huss , Karin Nordstrom

Deoxyribonucleic acid (DNA) has shown great promise in enabling computational applications, most notably in the fields of DNA digital data storage and DNA computing. Information is encoded as DNA strands, which will naturally bind in…

机器学习 · 计算机科学 2021-10-22 David Buterez

The coverage depth problem in DNA data storage is about computing the expected number of reads needed to recover all encoded strands. Given a generator matrix of a linear code, this quantity equals the expected number of randomly drawn…

信息论 · 计算机科学 2026-03-09 Matteo Bertuzzo , Alberto Ravagnani , Eitan Yaakobi