Journal Of Bioinformatics And Computational Biology

杂志介绍

Journal Of Bioinformatics And Computational Biology杂志介绍

《Journal Of Bioinformatics And Computational Biology》是一本以English为主的未开放获取国际优秀期刊，中文名称生物信息学与计算生物学杂志，本刊主要出版、报道生物学-MATHEMATICAL & COMPUTATIONAL BIOLOGY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0.9，最新CiteScore 指数为2.1。

本刊近期中国学者发表的论文主要有：

• Integrating network topology, gene expression data and GO annotation information for protein complex prediction.

  Author: Zhang W¹, Xu J², Li Y³, Zou X⁴.

• Systematic analysis and identification of unexpected interactions from the neuroprotein drug interactome in hydrocephalus pharmacological intervention.

  Author: Lu Y¹, Yuan L¹, Chen X¹, Zhang A¹, Zhang P¹, Zou D¹.

• Identifying short disorder-to-order binding regions in disordered proteins with a deep convolutional neural network method.

  Author: Fang C¹, Moriwaki Y², Tian A¹, Li C¹, Shimizu K².

• Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data.

  Author: Zhao Y¹, Sue AC¹, Goh WWB².

英文介绍

Journal Of Bioinformatics And Computational Biology杂志英文介绍

The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information.

The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.