MetaG: a graph-based metagenomic gene analysis for big DNA data

@article{Chowdhury2016MetaGAG,
  title={MetaG: a graph-based metagenomic gene analysis for big DNA data},
  author={Linkon Chowdhury and Mohammad Ibrahim Khan and Kaushik Deb and Md Sarwar Kamal},
  journal={Network Modeling Analysis in Health Informatics and Bioinformatics},
  year={2016},
  volume={5},
  pages={1-16}
}
Microbial interactions and relationships are significant for animals, insects and plants. Metagenomic research enables properassessments and analysis for microbial organs and communities. The analysis helps to gain detailed insights on miscopies insects. Recent machine learning techniques focused on algorithms and data mining tools to check the depth of interactions and relationships on metagenomic dataset. Accurate analysis over large genes helps to solve real-world problems for public… CONTINUE READING
1 Citations
77 References
Similar Papers

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 77 references

2015a) Bridger: a new framework for de novo transcriptome assembly using RNA-seq data

  • Z Chang
  • Genome Biol
  • 2015

2015b) Bridger: a new framework for de novo transcriptome assembly using RNA-seq data

  • Z Chang, G Li, +5 authors X Huang
  • Genome Biol
  • 2015
2 Excerpts

Accurate readbased metagenome characterization using a hierarchical suite of unique signatures

  • Freitas TAK, PE Li, MB Scholz, Chain PSG
  • Nucleic Acids Res
  • 2015

Similar Papers

Loading similar papers…