Amniotic Band Sequence in an Intrauterine Fetal Demise at 17 weeks of Pregnancy: A case report by Vladimir Bartos

“… Amniotic band sequence is a rare disorder characterised by various congenital abnormalities due to constrictions of certain parts of the fetal body by fibrous bands derived from the amniotic sac. …”
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Numerical and Experimental Analysis of Stacking Sequences Effects in Composite Mechanical Joints under Impact Loadings by Pourya Fathi, Alireza Naddaf Oskouei, Khodadad Vahedi, Amin Moslemi Petrudi

“…One of the most important fields that Researchers have paid less attention to that is to investigate the effect of stacking sequence on the strength of mechanical joints under impact loading. …”
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Sequencing validates deep learning models for EHR-based detection of Noonan syndrome in pediatric patients by Zeyu Yang, Amy Shikany, Ammar Husami, Xinjian Wang, Eneida Mendonca, K. Nicole Weaver, Jing Chen

“…Abstract Despite advanced diagnostic tools, early detection of rare genetic conditions like Noonan syndrome (NS) remains challenging. We evaluated a deep learning model’s real-world performance in identifying potential NS cases using electronic health record (EHR) data, validated through genetic sequencing and clinical assessment. …”
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A Novel Statistical Approach to Obtain the Best Visibility Slice in MRI Sequence of Brain Tumors by Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma

“…A private dataset of twenty MRI scans (sequences) was used for testing and evaluating the system. …”
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Comparative study of tools for copy number variation detection using next-generation sequencing data by Ruchao Du, Jinxin Dong, Hua Jiang, Minyong Qi, Zuyao Zhao

“…For the simulated data, we compared their performance across six variant types under 36 configurations, including three variant lengths, four sequencing depths, and three tumor purities. For the real data, we used the overlapping density score (ODS) to evaluate the performance of the 12 detection tools. …”
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Hurdles in the personalized medicine implementation path: public’s literacy and misconceptions of whole genomic sequencing test by Azza Ramadan, Anan S. Jarab, Ahmad Z. Al Meslamani, Karem H. Alzoubi

“…This cross-sectional study disseminated a validated survey online to the public across the UAE using a convenience sampling technique. The survey evaluated socio-demographics, knowledge, and attitudes towards whole genome sequencing. …”
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Genetic sequencing of the airborne fungal spectrum and air quality at a public hospital in Mexico City. by María Carmen Calderón-Ezquerro, Carolina Brunner-Mendoza, César Guerrero-Guerra, Alejandro Sanchez-Flores A, Ilse Salinas-Peralta, Conchita Toriello, Alfredo Ponce-de León, Carmen Isela Ortega-Rosas C I

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Methanol fixation and tagmentation of RNA/DNA hybrids directly enable single-cell transcriptome sequencing by Tao Xu, Yicong Xu, Ziyang An, Yiheng Li, Jiawen Yang, Weixing Zhang, Jin Xu

“…ObjectiveSingle-cell transcriptome sequencing is a powerful tool for investigating cellular diversity in normal development and disease. …”
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CleanSeqU algorithm for decontamination of catheterized urine 16S rRNA sequencing data by Sung Min Yoon, Chang-Seok Ki, Ju Sun Song

“…Abstract Contamination in low-biomass samples, such as urine, presents a major challenge for 16S rRNA gene sequencing, as extraneous DNA from reagents and the environment often obscures microbial signals. …”
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Custom barcoded primers for influenza A nanopore sequencing: enhanced performance with reduced preparation time by Iryna V. Goraichuk, David L. Suarez

“…Additionally, the custom barcoded primer method was evaluated on a variety of clinical sample types. This approach offers a promising solution for influenza A sequencing, providing both high throughput and time efficiency, which significantly improves the time-to-result turnaround, making sequencing more accessible for real-time surveillance.…”
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Genotyping of genetically monomorphic bacteria: DNA sequencing in Mycobacterium tuberculosis highlights the limitations of current methodologies. by Iñaki Comas, Susanne Homolka, Stefan Niemann, Sebastien Gagneux

“…We used as a gold standard the complete DNA sequences of 89 coding genes from a global strain collection. …”
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Analysis of antimicrobial resistance and virulence of pathogens in dairy products from Egypt by whole genome sequencing by Dina Saleh, Nora Mahmoud, Shymaa Enany, Samira Zakeer

“…The objectives of this study were to identify the genetic variables, evaluate antibiotic resistance, and isolate microorganisms from raw milk and dairy products. …”
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Analysis of nuclear export sequence regions of FUS-Related RNA-binding proteins in essential tremor. by Oswaldo Lorenzo-Betancor, Kotaro Ogaki, Alexandra Soto-Ortolaza, Catherine Labbé, Carles Vilariño-Güell, Alex Rajput, Ali H Rajput, Pau Pastor, Sara Ortega, Elena Lorenzo, Audrey J Strongosky, Jay A van Gerpen, Ryan J Uitti, Zbigniew K Wszolek, Owen A Ross

“…The role of the EWSR1 p.R471C substitution needs to be further evaluated in future studies.…”
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Phylogenetic tree-based amino acid sequence generation for proteomics data analysis of unknown species by Nobuaki Miura, Tsuyoshi Tabata, Yasushi Ishihama, Shujiro Okuda

“…To evaluate this approach, we generated the Helicobacter pylori F16 strain sequence based on the phylogenetic relationships of 29 closely related strains (excluding F16). …”
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Diagnostic value of metagenomic next-generation sequencing in patients with osteoarticular infections: a prospective study by Qiang Zhang, Qiushi Wang, Feng Zhang, Xiuping Li, Yuhong Sun, Li Wang, Zhongfa Zhang

“…ABSTRACT Due to the limits of traditional microbiological methods and the complexity of osteoarthritis pathogens, only a few pathogens can be detected. We evaluated metagenomic next-generation sequencing (mNGS) for detecting pathogens in osteoarthritis infection samples. …”
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Mapping accuracy of short reads from massively parallel sequencing and the implications for quantitative expression profiling. by Nicola Palmieri, Christian Schlötterer

“…<h4>Methodology/principal findings</h4>We performed an in silico analysis to evaluate whether incorrect mapping of the sequence reads results in a biased expression pattern. …”
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Shotgun Metagenomic Sequencing Analysis as a Diagnostic Strategy for Patients with Lower Respiratory Tract Infections by Ha-eun Cho, Min Jin Kim, Jongmun Choi, Yong-Hak Sohn, Jae Joon Lee, Kyung Sun Park, Sun Young Cho, Ki-Ho Park, Young Jin Kim

“…Conventional diagnostic methods (CDMs) for lower respiratory infections (LRIs) have limitations in detecting causative pathogens. This study evaluates the utility of shotgun metagenomic sequencing (SMS) as a complementary diagnostic tool using bronchoalveolar lavage (BAL) fluid. …”
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Deep learning for Parkinson’s disease classification using multimodal and multi-sequences PET/MR images by Yan Chang, Jiajin Liu, Shuwei Sun, Tong Chen, Ruimin Wang

“…A multi-modal and multi-sequence model could further enhance the ability to classify PD.…”
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The application of compressed sensing on tumor mutation burden calculation from overlapped pooling sequencing data by Yue Cui, Yi Qiao, Rongming An, Xuan Pan, Jing Tu

“…Based on this, the orthogonal matching pursuit (OMP) algorithm and the basic pursuit (BP) algorithm were used to reconstruct TMB from pooling sequencing data. The performance of these two algorithms was evaluated. …”
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Kidney diseases and single-cell sequencing research: a bibliometric analysis from 2015 to 2024 by Yaotan Li, Jinyi Hou, Xinghua Zhang, Xiaochang Wu, Shijia Lin, Weijing Liu, Yaoxian Wang, Huijuan Zheng

“…Background Single-cell RNA sequencing (scRNA-seq) has revolutionized kidney disease research by enabling high-resolution transcriptomic analysis at the cellular level. …”
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