Results 31 to 40 of about 1,268,351 (323)

Leveraging network analytics to infer patient syndrome and identify causal genes in rare disease cases

BMC Genomics, 2017
Background Next-generation sequencing is widely used to identify disease-causing variants in patients with rare genetic disorders. Identifying those variants from whole-genome or exome data can be both scientifically challenging and time consuming.
Andreas Krämer, Sohela Shah, Robert Anthony Rebres, Susan Tang, Daniel Rene Richards   +4 more
doaj   +1 more source

Fluorescence-enhanced dual signal lateral flow immunoassay for flexible and ultrasensitive detection of monkeypox virus

Journal of Nanobiotechnology, 2023
The outbreak of the monkeypox virus (MPXV) worldwide in 2022 highlights the need for a rapid and low-cost MPXV detection tool for effectively monitoring and controlling monkeypox disease.
Xingsheng Yang, Xiaodan Cheng, Hongjuan Wei, Zhijie Tu, Zhen Rong, Chongwen Wang, Shengqi Wang   +6 more
doaj   +1 more source

Computational Strategies for Scalable Genomics Analysis. [PDF]

, 2019
The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in genomics, posing a significant challenge to the computing infrastructure and software algorithms for genomics analysis.
Shi, Lizhen, Wang, Zhong
core   +1 more source

TFBSTools: an R/bioconductor package for transcription factor binding site analysis. [PDF]

, 2016
Summary: The ability to efficiently investigate transcription factor binding sites (TFBSs) genome-wide is central to computational studies of gene regulation.
Lenhard, B, Tan, G
core   +2 more sources

Educating the educators: Incorporating bioinformatics into biological science education in Malaysia [PDF]

, 2012
Bioinformatics can be defined as a fusion of computational and biological sciences. The urgency to process and analyse the deluge of data created by proteomics and genomics studies has caused bioinformatics to gain prominence and importance. However, its
Hussein, Huszalina, Mohd. Hashim, Siti Zaiton, Salim, Naomie, Shamsir, Mohd. Shahir   +3 more
core  

Algebraic Comparison of Partial Lists in Bioinformatics [PDF]

, 2010
The outcome of a functional genomics pipeline is usually a partial list of genomic features, ranked by their relevance in modelling biological phenotype in terms of a classification or regression model.
A Gobbi, A Kalousis, A Kossenkov, A Sboner, AC Haury, AL Boulesteix, Arkady B. Khodursky, B Di Camillo, B Efron, B Efron, B Efron, B Schowe, C Cortes, C Cortes, C Furlanello, C Schneider, C Schneider, C Soneson, C Yao, Cesare Furlanello, Consortium The MicroArray Quality Control (MAQC), D Albanese, D Cai, D Corrada, D Critchlow, D Saari, D Witten, G Guzzetta, G Jurman, G Jurman, G Lance, G Lance, G Smyth, Giuseppe Jurman, GS Cheon, I Guyon, I Jeffery, I Lönnstedt, J Bar-Ilan, J Borda, J Chen, J Ioannidis, J Neter, J Storey, L Ein-Dor, L Kuncheva, L Yu, L Zhang, M Desarkar, M Kauers, M Kauers, M Kendall, M Schimek, M Schimek, M Slawski, M Villarino, M Villarino, O Bousquet, P Baldi, P Diaconis, P Diaconis, P Hall, P Hall, P Krízek, PC Boutros, R Fagin, R Gentleman, R Graham, R Pearson, R Pique-Regi, R Pique-Regi, R Simon, Roberto Visintainer, S Abramov, S Dudoit, S Lin, S Lin, S Mukherjee, S Setlur, S Simićc, S Vanderlooy, Samantha Riccadonna, SK Lau, T Bø, T Calders, V Tusher, Visintainer, W Fury, W Hoeffding, W Shi, X Wang, X Yang, Y Xiao, Y Xiao, Z He   +94 more
core   +4 more sources

New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics

Briefings in Bioinformatics
Abstract Bioinformatics has revolutionized biology and medicine by using computational methods to analyze and interpret biological data. Quantum mechanics has recently emerged as a promising tool for the analysis of biological systems, leading to the development of quantum bioinformatics.
Majid Mokhtari, Samane Khoshbakht, Kobra Ziyaei, Mohammad Esmaeil Akbari, Sayyed Sajjad Moravveji   +4 more
openaire   +2 more sources

Targeting EZH2 reverses thyroid cell dedifferentiation and enhances iodide uptake in anaplastic thyroid cancer

FEBS Letters, EarlyView.
Anaplastic thyroid cancer (ATC) lacks iodide uptake ability due to MAPK activation increasing the expression of the histone methyltransferase EZH2, which represses thyroid differentiation genes (TDGs) such as the sodium iodide symporter (NIS). Dual inhibition of MAPK (U0126) and EZH2 (EPZ6438/Tazemetostat) reverses this mechanism, thus restoring TDG ...
Diego Claro de Mello, Marcella Maringolo Cristovão, Guilherme Henrique, Vinicius Gonçalves Rodrigues, Caroline Serrano‐Nascimento, Edna Teruko Kimura, Cesar Seigi Fuziwara   +6 more
wiley   +1 more source

Streamlined and on-demand preparation of mRNA products on a universal integrated platform

Microsystems & Nanoengineering, 2023
Vaccines are used to protect human beings from various diseases. mRNA vaccines simplify the development process and reduce the production cost of conventional vaccines, making it possible to respond rapidly to acute and severe diseases, such as ...
Hongjuan Wei, Zhen Rong, Liyan Liu, Ye Sang, Jing Yang, Shengqi Wang   +5 more
doaj   +1 more source

The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity

FEBS Letters, EarlyView.
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley   +1 more source