进行了超转录组学研究以研究微生物群落的基因表达。
Metatranscriptomics studies have been performed to study the gene expression of microbial communities.
其它新方法都集中于将基因组学和转录组学用于霉菌毒素直接分析。
Other emerging approaches are focusing on the use of genomics and transcriptions as tools for indirect mycotoxin analysis.
因此它被广泛地用作序列描述与注释、系统发生、基因组学、转录组学和蛋白质组学研究的一个起始步骤。
It is thus widely used as an initial step for sequence characterization and annotation, phylogeny, genomics, transcriptomics, and proteomics studies.
遗传连锁作图、定位克隆、数量特性位点作图、微阵列分析及转录沉默等，是近年来常用的基因组学研究技术。
Genetic linkage mapping, positional cloning, quantitative loci traits mapping, microarrays and transcriptional silencing are genomic technologies that being widely used in recent years.
基因组和转录组分析无疑将补充现有的蛋白质组和遗传学知识。
Genome and transcriptome analyses will complement the proteome and genetic information available today.
目前，已经有大量的方法用于识别转录因子结合位点，大致可分为基于保守模体和比较基因组学两种方法。
There are a large number of methods for identifying transcription factor binding sites, and it can be divided into two ways: conservative motif based and comparative genomics.
基因组学的到来使高通量筛选肿瘤特异性转录和突变成为可能，随即能够识别异常的共用及单一肿瘤相关抗原。
The advent of genomics allows a high-throughput screening for tumor-specific transcripts and mutations, with that identifying novel Shared and unique TAA.
反转录病毒生物学主要特征是被整合入细胞DNA的基因组DNA复制的合成。
A key feature of retrovirus biology is the synthesis of a DNA copy of the genome which is integrated into cellular DNA.
我们也涵盖了与生物学序列分析、转录组分析、计算蛋白质组学、计算代谢组学、生物-本体论及生物学数据库相关的一些基本问题。
We also cover some fundamental issues related to biological sequence analyses, transcriptome analyses, computational proteomics, computational metabolomics, bio-ontologies, and biological databases.
我们也涵盖了与生物学序列分析、转录组分析、计算蛋白质组学、计算代谢组学、生物-本体论及生物学数据库相关的一些基本问题。
We also cover some fundamental issues related to biological sequence analyses, transcriptome analyses, computational proteomics, computational metabolomics, bio-ontologies, and biological databases.
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