Nar Genomics And Bioinformatics

杂志介绍

Nar Genomics And Bioinformatics杂志介绍

《Nar Genomics And Bioinformatics》是一本以English为主的开放获取国际优秀期刊，中文名称基因组学和生物信息学，本刊主要出版、报道领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为4，最新CiteScore 指数为8。

本刊近期中国学者发表的论文主要有：

• cgRNASP: coarse-grained statistical potentials with residue separation for RNA structure evaluation

  Author: Tan, Ya-Lan; Wang, Xunxun; Yu, Shixiong; Zhang, Bengong; Tan, Zhi-Jie

• HyperVR: a hybrid deep ensemble learning approach for simultaneously predicting virulence factors and antibiotic resistance genes

  Author: Ji, Boya; Pi, Wending; Liu, Wenjuan; Liu, Yannan; Cui, Yujun; Zhang, Xianglilan; Peng, Shaoliang

• Delineation of complex gene expression patterns in single cell RNA-seq data with ICARUS v2.0

  Author: Jiang, Andrew; You, Linya; Snell, Russell G.; Lehnert, Klaus

英文介绍

Nar Genomics And Bioinformatics杂志英文介绍

NAR Genomics and Bioinformatics is an international academic journal dedicated to the fields of genomics and bioinformatics, published by Oxford University Press. This journal aims to publish high-quality original research articles, reviews, software descriptions, and database reports covering genomics, transcriptomics, proteomics, metabolomics, and related computational and analytical methods. NARGAB emphasizes interdisciplinary research to promote the understanding and application of big biological data, particularly in areas such as disease mechanisms, drug development, and precision medicine.

The characteristics of journals include a fast peer review process, high impact research content, and support for open source research. The magazine encourages submissions of research that can significantly advance the theory and practice of bioinformatics, especially those that utilize innovative technologies and methods to analyze complex biological datasets. In addition, the journal also values the reproducibility and transparency of research, advocating for the sharing of raw data and research materials. The target readership of the magazine includes bioinformatics scientists, molecular biologists, clinical doctors, computational biologists, as well as graduate students and postdoctoral researchers engaged in related research. By publishing cutting-edge research and review articles, NARGAB provides a platform for the global scientific community to exchange the latest research findings and discuss future research directions.