Results 101 to 110 of about 273,042 (329)

DNAscent v2: detecting replication forks in nanopore sequencing data with deep learning

BMC Genomics, 2021
Background Measuring DNA replication dynamics with high throughput and single-molecule resolution is critical for understanding both the basic biology behind how cells replicate their DNA and how DNA replication can be used as a therapeutic target for ...
Michael A. Boemo
doaj   +1 more source

Probing of RNA structures in a positive sense RNA virus reveals selection pressures for structural elements. [PDF]

, 2017
In single stranded (+)-sense RNA viruses, RNA structural elements (SEs) play essential roles in the infection process from replication to encapsidation.
Aviran, Sharon, Choudhary, Krishna, Lucks, Julius B, Perry, Keith L, Thompson, Jeremy R, Watters, Kyle E   +5 more
core   +2 more sources

Additional file 1 of Correcting nucleotide-specific biases in high-throughput sequencing data

, 2017
Figure S1. GM12878 DNase-seq 5-mer tile covariance matrix. The pairwise correlation is shown between bias values of 5-mer tiles in a 160bp window surrounding the 5â end of aligned reads. The block structure between tiles 0 and 3 indicates correlation between adjacent k-mer frequencies within DNase-seq reads. (PDF 203 kb)
Wang, Jeremy, Quach, Bryan, Furey, Terrence   +2 more
openaire   +1 more source

DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network

BMC Bioinformatics, 2019
Calling genetic variations from sequence reads is an important problem in genomics. There are many existing methods for calling various types of variations.
Lei Cai, Y. Wu, Jingyang Gao
semanticscholar   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

An Overview of the Second and Third-Generation of DNA Sequencing Technologies [PDF]

Journal of Advanced Biomedical Sciences, 2017
DNA sequence determination is a tremendous human achievement. DNA sequencing includes several methods and technologies in use for determining the order of the nucleotide bases in a molecule of nucleic acid.
Fatemeh Ghorbani Parsa, Mohammad Ali Hossein Pour Feizi   +1 more
doaj  

Species-level core oral bacteriome identified by 16S rRNA pyrosequencing in a healthy young Arab population

Journal of Oral Microbiology, 2016
Background: Reports on the composition of oral bacteriome in Arabs are lacking. In addition, the majority of previous studies on other ethnic groups have been limited by low-resolution taxonomic assignment of next-generation sequencing reads. Furthermore,
Nezar Noor Al-hebshi, Ahmed Abdulhaq, Ahmed Albarrag, Vinod Kumar Basode, Tsute chen   +4 more
doaj   +1 more source

Distinguishing low frequency mutations from RT-PCR and sequence errors in viral deep sequencing data [PDF]

, 2015
There is a high prevalence of coronary artery disease (CAD) in patients with left bundle branch block (LBBB); however there are many other causes for this electrocardiographic abnormality.
Haydon, Daniel T., King, David J., King, Donald, Morelli, Marco J., Orton, Richard J., Paton, David, Wright, Caroline F.   +6 more
core   +2 more sources

Multiplex targeted high‐throughput sequencing in a series of 352 patients with congenital limb malformations

Human Mutation, 2019
Congenital limb malformations (CLM) comprise many conditions affecting limbs and more than 150 associated genes have been reported. Due to this large heterogeneity, a high proportion of patients remains without a molecular diagnosis.
A. Jourdain, F. Petit, M. Odou, M. Balduyck, Perrine Brunelle, William Dufour, Simon Boussion, E. Brischoux-Boucher, C. Colson, A. Dieux, M. Gérard, J. Ghoumid, F. Giuliano, A. Goldenberg, Philippe Khau Van Kien, D. Lehalle, G. Morin, S. Moutton, Thomas Smol, C. Vanlerberghe, S. Manouvrier-Hanu, F. Escande   +21 more
semanticscholar   +1 more source

Microneedle‐Based Biofertilizer Delivery Improves Plant Growth Through Microbiome Engineering

Advanced Functional Materials, EarlyView.
This figure shows how microneedles are used to deliver biofertilizers to enhance plant growth through microbial migration, metabolic reprogramming, and changes in plant endogenous microbiome. Abstract This study presents a microneedle‐based system for the delivery of rhizospheric biofertilizers into plant tissues to enhance growth.
Zhicheng Le, Sevugan Mayalagu, Cheng‐Yen Chen, Raktim Bhattacharya, Abhishek Gupta, Jingyuan Li, Zhi Wei Norman Teo, Yufeng Shou, Arya Gopinath MP, Danni Zhong, Tedrick Thomas Salim Lew, Hao Yu, Naweed I. Naqvi, Sanjay Swarup, Andy Tay   +14 more
wiley   +1 more source