Environmental research has been revolutionized by sequencing technologies that generates huge amount of data by directly sequencing of DNA from environment. Analysis of the data using computational biology provides valuable insights about novel microorganisms, their functions and metabolic pathways. This blog aims to enhance understanding of different tools, algorithms and pipelines for the study of microbial diversity in different environment.
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Monday 2 November 2015
Machine learning for metagenomics
This review covers most of the machine learning methods used till now for the analysis of metagenomic data. You can read the full text from the link below. http://arxiv.org/pdf/1510.06621v1.pdf
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