宏基因组数据组装的算法和软件-猫眼课题宝

宏基因组数据组装的算法和软件

批准号：

10063965

负责人：

Mihai Pop

金额：

$65.38万

依托单位：

UNIV OF MARYLAND, COLLEGE PARK

依托单位国家：

美国

项目类别：

财政年份：

2013

资助国家：

美国

项目状态：

已结题

起止时间：

2013-03-21 至 2023-11-30

来源：

https://reporter.nih.gov/project-details/10063965

关键词：

Address Algorithmic Software Algorithms Biological Chromosomes Collection Communities Complement Complex Mixtures DNA Modification Process Data Devices Disease Effectiveness Elements Emerging Technologies Future Genes Genome Genomic Segment Genomics Graph Health Hi-C High-Throughput Nucleotide Sequencing Human Individual Label Laboratories Lead Light Link Manuals Measures Metagenomics Methods Microbe Molecular Conformation Operon Organism Pattern Play Regulatory Element Research Role Sampling Software Tools Source Speed Structure Taxonomy Technology Time Validation Variant Visual base computerized tools contig deep sequencing experience improved metagenome microbial community microbial genome nanopore novel strategies programs rRNA Genes reconstruction reference genome scale up success targeted sequencing tool user friendly software whole genome

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Abstract Through this proposal, we will develop new computational tools for reconstructing nearly- complete microbial genomes from complex mixtures, as well as their strain structure. We will build upon our initial successes in developing metagenomic assembly algorithms capable of characterizing strain variants (7, 8), as well as upon our experience in using co-abundance across samples to link/bin together genes originating from the same organism (9). In addition, we will develop algorithms able to use information generated by emerging technologies, such as chromosome conformation information generated by Hi-C (10-12), or information about DNA modifications as generated by new nanopore sequencing devices(13, 14).

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