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Getting specific: making taxonomic and ecological sense of large sequencing data sets

机译：具体化：使大型测序数据集具有生物分类学和生态学意义

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3 pages, 1 figure

机译：3页1图

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作者
Massana Ramon;
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年度 2015
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原文格式 PDF
正文语种 eng
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专利

1. Getting specific: making taxonomic and ecological sense of large sequencing data sets [J] . Massana Ramon Molecular ecology . 2015,第12期

机译：具体化：使大型测序数据集具有生物分类学和生态学意义
2. Generation of Comprehensive Ecosystem-Specific Reference Databases with Species-Level Resolution by High-Throughput Full-Length 16S rRNA Gene Sequencing and Automated Taxonomy Assignment (AutoTax) [J] . Morten Simonsen Dueholm, Kasper Skytte Andersen, Simon Jon McIlroy, MBio . 2020,第5期

机译：通过高通量全长16S rRNA基因测序和自动分类分配（AutoTax），使用物种级分辨率生成综合生态系统特定的参考数据库
3. Population-specific genetic variation in large sequencing data sets: why more data is still better [J] . van Rooij Jeroen G. J., Jhamai Mila, Arp Pascal P., European journal of human genetics: EJHG . 2017,第10期

机译：大型测序数据集的人口特异性遗传变异：为什么更多的数据仍然更好
4. Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies [C] . Eleonora Cappelli, Emanuel Weitschek, Fabio Cumbo International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics . 2020

机译：通过利用基于域的本体论的基于分类的小分类系统的轻松查询来扩展关于癌症的基因组数据和元数据的知识
5. Computational assessment of somatic missense mutations detected in tumor sequencing studies with cancer-specific high-throughput annotation of somatic mutations (CHASM). [D] . Carter, Hannah. 2012

机译：具有肿瘤特异性高通量体细胞突变（CHASM）的肿瘤测序研究中检测到的体细胞错义突变的计算评估。
6. Maximizing ecological and evolutionary insight in bisulfite sequencing data sets [O] . Amanda J. Lea, Tauras P. Vilgalys, Paul A.P. Durst, -1

机译：在亚硫酸氢盐测序数据集中最大程度地发挥生态和进化方面的见识
7. Maximizing ecological and evolutionary insight from bisulfite sequencing data sets [O] . Amanda J. Lea, Tauras P. Vilgalys, Paul A.P. Durst, 2016

机译：从Bisulfite测序数据集最大化生态和进化洞察力

Getting specific: making taxonomic and ecological sense of large sequencing data sets

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