中文
相关论文

相关论文: DNA-MATRIX a tool for DNA motif discovery and weig…

200 篇论文

Evolution of gene regulation is crucial for our understanding of the phenotypic differences between species, populations and individuals. Sequence-specific binding of transcription factors to the regulatory regions on the DNA is a key…

种群与进化 · 定量生物学 2015-11-09 Murat Tuğrul , Tiago Paixão , Nicholas H. Barton , Gašper Tkačik

How DNA-binding proteins locate specific genomic targets remains a central challenge in molecular biology. Traditional protein-centric approaches, which rely on wet-lab experiments and visualization techniques, often lack genome-wide…

定量方法 · 定量生物学 2025-09-16 Li Yang , Dongbo Wang

Transcription factors (TFs) are macromolecules that bind to \textit{cis}-regulatory specific sub-regions of DNA promoters and initiate transcription. Finding the exact location of these binding sites (aka motifs) is important in a variety…

计算机视觉与模式识别 · 计算机科学 2016-11-18 Hamid Reza Hassanzadeh , May D. Wang

DNA is a leading candidate as the next archival storage media due to its density, durability and sustainability. To read (and write) data DNA storage exploits technology that has been developed over decades to sequence naturally occurring…

新兴技术 · 计算机科学 2022-05-12 Jasmine Quah , Omer Sella , Thomas Heinis

We propose generative neural network methods to generate DNA sequences and tune them to have desired properties. We present three approaches: creating synthetic DNA sequences using a generative adversarial network; a DNA-based variant of…

机器学习 · 计算机科学 2017-12-19 Nathan Killoran , Leo J. Lee , Andrew Delong , David Duvenaud , Brendan J. Frey

We present new algorithms for the problem of multiple string matching of gapped patterns, where a gapped pattern is a sequence of strings such that there is a gap of fixed length between each two consecutive strings. The problem has…

数据结构与算法 · 计算机科学 2014-07-08 Emanuele Giaquinta , Kimmo Fredriksson , Szymon Grabowski , Alexandru I. Tomescu , Esko Ukkonen

Discovery of transcription factor binding sites is a much explored and still exploring area of research in functional genomics. Many computational tools have been developed for finding motifs and each of them has their own advantages as…

计算工程、金融与科学 · 计算机科学 2011-07-07 K. R Seeja

BACKGROUND: Transcriptional regulation is a key mechanism in the functioning of the cell, and is mostly effected through transcription factors binding to specific recognition motifs located upstream of the coding region of the regulated…

基因组学 · 定量生物学 2007-05-23 Davide Cora' , Ferdinando Di Cunto , Paolo Provero , Lorenzo Silengo , Michele Caselle

For most of the important processes in DNA metabolism, a protein has to reach a specific binding site on the DNA. The specific binding site may consist of just a few base pairs while the DNA is usually several millions of base pairs long.…

统计力学 · 物理学 2010-01-10 Debanjan Chowdhury

Somatic mutations in cancer cells affect various genomic elements disrupting important cell functions. In particular, mutations in DNA binding sites recognized by transcription factors can alter regulator binding affinities and expression…

We describe a strategy for constructing codes for DNA-based information storage by serial composition of weighted finite-state transducers. The resulting state machines can integrate correction of substitution errors; synchronization by…

信息论 · 计算机科学 2016-11-18 Ian Holmes

Problems of search and recognition appear over different scales in biological systems. In this review we focus on the challenges posed by interactions between proteins, in particular transcription factors, and DNA and possible mechanisms…

生物大分子 · 定量生物学 2015-03-19 M. Sheinman , O. Bénichou , Y. Kafri , R. Voituriez

Reconstruction of gene regulatory networks is the process of identifying gene dependency from gene expression profile through some computation techniques. In our human body, though all cells pose similar genetic material but the activation…

A common problem in bioinformatics is related to identifying gene regulatory regions marked by relatively high frequencies of motifs, or deoxyribonucleic acid sequences that often code for transcription and enhancer proteins. Predicting…

基因组学 · 定量生物学 2021-01-22 Ethan Jacob Moyer , Anup Das

The most common gene regulation mechanism is when a transcription factor protein binds to a regulatory sequence to increase or decrease RNA transcription. However, transcription factors face two main challenges when searching for these…

定量方法 · 定量生物学 2023-11-21 Lucas Hedström , Ludvig Lizana

DNA pattern matching is essential for many widely used bioinformatics applications. Disease diagnosis is one of these applications, since analyzing changes in DNA sequences can increase our understanding of possible genetic diseases. The…

硬件体系结构 · 计算机科学 2022-06-01 Jinane Bazzi , Jana Sweidan , Mohammed E. Fouda , Rouwaida Kanj , Ahmed M. Eltawil

Organization and maintenance of the chromosomal DNA in living cells strongly depends on the DNA interactions with a plethora of DNA-binding proteins. Single-molecule studies show that formation of nucleoprotein complexes on DNA by such…

生物大分子 · 定量生物学 2018-09-05 Artem K. Efremov , Jie Yan

Expression quantitative trait loci (eQTL) mapping aims to determine genomic regions that regulate gene transcription. Expression QTL is used to study the regulatory structure of normal tissues and to search for genetic factors in complex…

基因组学 · 定量生物学 2011-05-31 Andrey A. Shabalin

Each human genome is a 3 billion base pair set of encoding instructions. Decoding the genome using deep learning fundamentally differs from most tasks, as we do not know the full structure of the data and therefore cannot design…

机器学习 · 计算机科学 2016-05-24 Laura Deming , Sasha Targ , Nate Sauder , Diogo Almeida , Chun Jimmie Ye

In the genome biology research, regulatory genome modeling is an important topic for many regulatory downstream tasks, such as promoter classification, transaction factor binding sites prediction. The core problem is to model how regulatory…

基因组学 · 定量生物学 2021-11-04 Shentong Mo , Xi Fu , Chenyang Hong , Yizhen Chen , Yuxuan Zheng , Xiangru Tang , Zhiqiang Shen , Eric P Xing , Yanyan Lan