Nar Genomics And Bioinformatics

雜志介紹

Nar Genomics And Bioinformatics雜志介紹

《Nar Genomics And Bioinformatics》是一本以English為主的開放獲取國際優(yōu)秀期刊，中文名稱基因組學(xué)和生物信息學(xué)，本刊主要出版、報道領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為4，最新CiteScore 指數(shù)為8。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• 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

英文介紹

Nar Genomics And Bioinformatics雜志英文介紹

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.