Titlebook: Computational Systems Biology; Methods and Protocol Tao Huang Book 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018

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書目名稱Computational Systems Biology影響因子(影響力)




書目名稱Computational Systems Biology影響因子(影響力)學(xué)科排名




書目名稱Computational Systems Biology網(wǎng)絡(luò)公開度




書目名稱Computational Systems Biology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Systems Biology被引頻次




書目名稱Computational Systems Biology被引頻次學(xué)科排名




書目名稱Computational Systems Biology年度引用




書目名稱Computational Systems Biology年度引用學(xué)科排名




書目名稱Computational Systems Biology讀者反饋




書目名稱Computational Systems Biology讀者反饋學(xué)科排名

ONYM

Michael M. Resch,Bastian Koller relatively variable regions and relatively conservative regions. The divergent parts of target DNA are enriched along with conservative parts of DNA sequence that effectively captured during hybridization. We present a protocol that allows users to overcome the low capture sensitivity problem for h

Archipelago

元音

CRANK

emission

OECD Nations and Sustainable Developmentcoding RNAs and diseases, including their advantages and disadvantages. The key issues and potential future works of predicting interactions between long noncoding RNAs and diseases are also discussed.

emission

The Trajectories of Worklife Transitionsthods that specifically fit single-cell sequencing data. We here comprehensively survey the current strategies and challenges for multiple single-cell sequencing, including single-cell transcriptome, genome, and epigenome, beginning with a brief introduction to multiple sequencing techniques for sin

熱心助人

COMA

Integrative Analysis of Omics Big Data,ombine and investigate many datasets in a cost-effective reproducible way. Current integration approaches on biological data have two modes: one is “bottom-up integration” mode with follow-up manual integration, and the other one is “top-down integration” mode with follow-up in silico integration..T

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