Special Issue "Metagenomics: a Powerful Lens Viewing the Microbial World"
Deadline for manuscript submissions: closed (30 July 2014)
Dr. Weizhong Li
Center for Research in Biological Systems, University of California, San Diego, 9500 Gilman Drive MC 0446, Atkinson Hall, Room 3113, La Jolla, CA 92093-0446, USA
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Interests: development of computational and bioinformatics methods; genomics; metagenomics; RNA-seq; system biology; human microbiome; next generation sequence data analysis; development of workflows; high performance computing
Metagenomics has been one of the most fast-developing fields of the last decade. Through culture-independent genomic sequencing, the metagenomics approach offers an unprecedented view of the diverse microbial world in different environments, such as ocean and other water bodies, human and animal body sites, soil, air and many others. At a genomic level, metagenomics reveals the identity, composition and dynamics of microbial communities and interactions with their environments. With the rapid advance of next generation high throughput sequencing technologies, metagenomics approach is now widely utilized by researchers in many disciplines such as ecology, energy, agriculture, biotechnology and medicine. As such a fast-growing field, metagenomics also presents many great challenges that need to be addressed. This Special Issue is intended to provide a snapshot of the state-of-the-art of today’s metagenomics research. We plan to publish original research papers as well as review articles on studies of different microbial environments and systems using the metagenomics approach, novel computational and statistical methods for metagenomics data analysis, and innovative technologies and protocols that expand the existing metagenomics capabilities. We especially encourage topics that discuss and address the imposing challenges in metagenomics, introduce novel methodologies, and provide new insights into the microbial world, for example, accurate species and strain identification and profiling, utilization and integration of multiple omics approaches (e.g. metagenomics, metatranscriptomics, 16S, metaproteomics and metabolomics), in depth investigation of novel habitats, microbiome-based disease models, and so on.
Dr. Weizhong Li
Manuscript Submission Information
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- next generation sequencing
- microbial ecology
- metagenomics sequence analysis
- metagenome comparison