Fast and sensitive validation of fusion transcripts in whole-genome sequencing data [0.03%]
全基因组测序数据中融合转录本快速敏感验证方法
Völundur Hafstað,Jari Häkkinen,Helena Persson
Völundur Hafstað
Background: In cancer, genomic rearrangements can create fusion genes that either combine protein-coding sequences from two different partner genes or place one gene under the control of the promoter of another gene. Thes...
Identification of plant vacuole proteins by using graph neural network and contact maps [0.03%]
基于图神经网络和接触图的植物液泡蛋白识别
Jianan Sui,Jiazi Chen,Yuehui Chen et al.
Jianan Sui et al.
Plant vacuoles are essential organelles in the growth and development of plants, and accurate identification of their proteins is crucial for understanding their biological properties. In this study, we developed a novel model called GraphI...
Designing and development of multi-epitope chimeric vaccine against Helicobacter pylori by exploring its entire immunogenic epitopes: an immunoinformatic approach [0.03%]
基于免疫信息学方法探索全免疫表位设计和发展幽门螺旋杆菌多抗原表位嵌合疫苗
Anand K Keshri,Rimanpreet Kaur,Suraj S Rawat et al.
Anand K Keshri et al.
Background: Helicobacter pylori is a prominent causative agent of gastric ulceration, gastric adenocarcinoma and gastric lymphoma and have been categorised as a group 1 carcinogen by WHO. The treatment of H. pylori with p...
TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides [0.03%]
TIPred: 加速发现酪氨酸酶抑制肽的新型堆叠集成方法
Phasit Charoenkwan,Sasikarn Kongsompong,Nalini Schaduangrat et al.
Phasit Charoenkwan et al.
Background: Tyrosinase is an enzyme involved in melanin production in the skin. Several hyperpigmentation disorders involve the overproduction of melanin and instability of tyrosinase activity resulting in darker, discolo...
Critical assessment of on-premise approaches to scalable genome analysis [0.03%]
对大规模基因组分析的在地方法进行批判性评估
Amira Al-Aamri,Syafiq Kamarul Azman,Gihan Daw Elbait et al.
Amira Al-Aamri et al.
Background: Plummeting DNA sequencing cost in recent years has enabled genome sequencing projects to scale up by several orders of magnitude, which is transforming genomics into a highly data-intensive field of research. ...
KidneyGPS: a user-friendly web application to help prioritize kidney function genes and variants based on evidence from genome-wide association studies [0.03%]
肾脏GPS：一个用户友好的网络应用程序，可基于全基因组关联研究的证据来帮助确定肾脏功能基因和变异的优先级
Kira J Stanzick,Klaus J Stark,Mathias Gorski et al.
Kira J Stanzick et al.
Background: Genome-wide association studies (GWAS) have identified hundreds of genetic loci associated with kidney function. By combining these findings with post-GWAS information (e.g., statistical fine-mapping to identi...
Reply: Correspondence on NanoVar's performance outlined by Jiang T. et al. in 'Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation' [0.03%]
关于Jiang T.等人在“基于全面评价的高效结构变异检测的长读测序设置”中介绍的NanoVar性能的来信回复
Tao Jiang,Shiqi Liu,Hongzhe Guo
Tao Jiang
We published a paper in BMC Bioinformatics comprehensively evaluating the performance of structural variation (SV) calling with long-read SV detection methods based on simulated error-prone long-read data under various sequencing settings. ...
HAHNet: a convolutional neural network for HER2 status classification of breast cancer [0.03%]
HER2状态分类的乳腺癌卷积神经网络模型HAHNET研究
Jiahao Wang,Xiaodong Zhu,Kai Chen et al.
Jiahao Wang et al.
Objective: Breast cancer is a significant health issue for women, and human epidermal growth factor receptor-2 (HER2) plays a crucial role as a vital prognostic and predictive factor. The HER2 status is essential for form...
Correspondence on NanoVar's performance outlined by Jiang T. et al. in "Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation" [0.03%]
江T等人关于NanoVar性能的文章“基于全面评价的高效结构变异检测的长读测序设置”的通讯答复
Cheng Yong Tham,Touati Benoukraf
Cheng Yong Tham
A recent paper by Jiang et al. in BMC Bioinformatics presented guidelines on long-read sequencing settings for structural variation (SV) calling, and benchmarked the performance of various SV calling tools, including NanoVar. In their simul...
ECL 3.0: a sensitive peptide identification tool for cross-linking mass spectrometry data analysis [0.03%]
ECL 3.0：一种用于交联质谱数据肽段识别的敏感工具
Chen Zhou,Shuaijian Dai,Shengzhi Lai et al.
Chen Zhou et al.
Background: Cross-linking mass spectrometry (XL-MS) is a powerful technique for detecting protein-protein interactions (PPIs) and modeling protein structures in a high-throughput manner. In XL-MS experiments, proteins are...