Optimization of the intron sequences combined with the CMV promoter increases recombinant protein expression in CHO cells by Ting-Ting Xu, Yan-Fang Wang, Jing-Jia Yuan, Chun-Liu Mi, Shao-Lei Geng, Xiao-yin Wang, Tian-Yun Wang

“…In conclusion, optimization of the intron sequences combined with the CMV promoter can achieve a higher yield of recombinant proteins in CHO cells. …”
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Characterization of upper airway airflow dynamics in young adults with isolated Robin sequence: An exploratory investigation by Maria Noel Marzano-Rodrigues, Sergio Henrique Kiemle Trindade, Ivy Kiemle Trindade-Suedam

Subjects: “…Robin sequence…”
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Integrated analysis of single-cell and bulk-RNA sequencing for the cellular senescence in prognosis of lung adenocarcinoma by Fengqiang Yu, Liangyu Zhang, Xun Zhang, Jianshen Zeng, Fancai Lai

“…The combined analysis of single-cell RNA-sequencing and bulk-RNA sequencing identified a gene signature composed of 14 genes which can accurately predict the prognosis of patients with LUAD. …”
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OUTPOST: A comprehensive analysis software for whole‐metagenome shotgun sequencing incorporating group stratification by Yihang Zhou, Jihong Zheng, Wenqi Song, Xinyi Yan, Li Du, Zhonglin Ma, Yanbin Fu, Zhaohui Ouyang, Yuchen Xiao, Zhuoqun Liu, Feng Tian, Jason Wing Hon Wong, Jen Hao David Shih, Shikang Liang, Honglei Tian, Liu Liu, Ke Wei, Chao Zhang, Jiangtao Li, Xiaozhu Wang

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On the k-Error Linear Complexity of Binary Sequences Derived from the Discrete Logarithm in Finite Fields by Zhixiong Chen, Qiuyan Wang

“…For the ordered elements ξ0,ξ1,…,ξq-1∈Fq, the binary sequence σ=(σ0,σ1,…,σq-1) with period q is defined over the finite field F2={0,1} as follows: σn=0,  if  n=0,  (1-χ(ξn))/2,  if  1≤n<q,  σn+q=σn, where χ is the quadratic character of Fq. …”
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Complete Sequence and Characterization of Mitochondrial and Chloroplast Genome of <i>Navicula incerta</i> CACC 0356 by Zhaokai Wang, Xiaoyu Wei

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A semi-automatic cell type annotation method for single-cell RNA sequencing dataset by Wan Kim, Sung Min Yoon, Sangsoo Kim

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Genetic Etiology of Ichthyosis in Turkish Patients: Next-generation Sequencing Identified Seven Novel Mutations by Hanife SAAT, Ibrahim SAHIN, Neslihan DUZKALE, Muzeyyen GONUL, Taha BAHSI

“…The clinical use of next-generation sequencing (NGS) methodologies is beneficial in the diagnostic approach to ichthyosis and genetic counseling. …”
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Sequence Analysis-Enhanced AI: Transforming Interactive E-Book Data into Educational Insights for Teachers by Yaroslav Opanasenko, Emanuele Bardone, Margus Pedaste, Leo Aleksander Siiman

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An Improved Sequential Recommendation Algorithm based on Short-Sequence Enhancement and Temporal Self-Attention Mechanism by Jianjun Ni, Guangyi Tang, Tong Shen, Yu Cai, Weidong Cao

“…Sequential recommendation algorithm can predict the next action of a user by modeling the user’s interaction sequence with an item. However, most sequential recommendation models only consider the absolute positions of items in the sequence, ignoring the time interval information between items, and cannot effectively mine user preference changes. …”
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Evaluating the efficiency of 16S-ITS-23S operon sequencing for species level resolution in microbial communities by Meghana Srinivas, Calum J. Walsh, Fiona Crispie, Orla O’Sullivan, Paul D. Cotter, Douwe van Sinderen, John G. Kenny

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Single cell RNA sequencing improves the next generation of approaches to AML treatment: challenges and perspectives by Zahra Khosroabadi, Samaneh Azaryar, Hassan Dianat-Moghadam, Zohreh Amoozgar, Mohammadreza Sharifi

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In silico sequence and structure prediction analysis of biomarker genes in Aeromonas sp. of Andaman and Nicobar Islands by Balakrishnan Meena, Lawrance Anburajan, Dilip Kumar Jha, Gopal Dharani

“…., and it's in silico sequence analysis.…”
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Dual graph-embedded fusion network for predicting potential microbe-disease associations with sequence learning by Junlong Wu, Liqi Xiao, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

“…By combining advanced graph-based and sequence-based learning techniques, DuGEL addresses the limitations of existing methods and provides a robust framework for the prediction of microbe-disease associations. …”
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Data analysis of high-throughput sequencing and microarray to identify key signatures of microribonucleic acids in glioblastoma by A. A. Pushkin, E. A. Dzenkova, N. N. Timoshkina, D. Yu. Gvaldin

“…A total of 156 glioblastoma samples with mRNA sequencing data, 571 samples with microarray microRNA analysis data, and 15 control samples were analyzed. …”
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Sequence-based engineering of pH-sensitive antibodies for tumor targeting or endosomal recycling applications by Wanlei Wei, Traian Sulea

“…To circumvent these requirements, we introduce a sequence-based in silico method for predicting His mutations in the variable region of antibodies, which could lead to pH-biased antigen binding. …”
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Photometric Determination of Unresolved Main-sequence Binaries in the Pleiades: Binary Fraction and Mass-ratio Distribution by Rongrong Liu, Zhengyi Shao, Lu Li

“…We then performed a multiband fitting for each cluster member, deriving the probability density function (PDF) of its primary mass ( ${{ \mathcal M }}_{1}$ ) and q in the Bayesian framework. 1154 main-sequence (MS) single stars or unresolved MS+MS binaries are identified as members of the Pleiades. …”
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Quantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN by Yu Wang, Nan Liang, Ge Gao

“…Here, we integrate regulatory-specific neural networks and tissue-specific gradient-boosting trees to build SVEN: a hybrid sequence-oriented architecture that can accurately predict tissue-specific gene expression level and quantify the tissue-specific transcriptomic impacts of structural variants across more than 350 tissues and cell lines. …”
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Deep sequencing-derived Metagenome Assembled Genomes from the gut microbiome of liver transplant patients by Goutam Banerjee, Suraya Rahman Papri, Hai Huang, Sanjaya Kumar Satapathy, Pratik Banerjee

“…However, there is a lack of comprehensive gut microbiome shotgun sequence data for patients experiencing MASLD recurrence after LT. …”
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Identification of deep intronic variants in junctional epidermolysis bullosa using genome sequencing and splicing assays by Fuying Chen, Ruoqu Wei, Yumeng Wang, Qiaoyu Cao, Jianbo Wang, Chenfei Wang, Dingjin Yao, Zhirong Yao, Cheng Ni, Ming Li

“…We enrolled 69 cases of recessive JEB, with 13.0% of these cases remained genetically undiagnosed following an initial exome sequencing. Among cases carried COL17A1 variants, this proportion can reach 31.6%. …”
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