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HPTree: Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via NJ model and Hadoop | IEEE Conference Publication | IEEE Xplore

HPTree: Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via NJ model and Hadoop


Abstract:

Constructing phylogenetic tree for ultra-large sequences (eg. Files more than 1GB) is quite difficult, especially for the unaligned DNA sequences. It is meaningless and i...Show More

Abstract:

Constructing phylogenetic tree for ultra-large sequences (eg. Files more than 1GB) is quite difficult, especially for the unaligned DNA sequences. It is meaningless and impracticable to do multiple sequence alignment for large diverse DNA sequences. We try to do clustering firstly for the mounts of DNA sequences, and divide them into several clusters. Then each cluster is aligned and phylogenetic analysed in parallel. Hadoop, which is the most popular parallel platform in cloud computing, is employed for this process. Our software tool HPTree can handle the >1GB DNA sequence file or more than 1,000,000 DNA sequences in few hours. Users could try HPTree in the cloud computing platform (eg. Amazon) or their own clusters for the big data phylogenetic tree reconstruction. No super machine or large memory is required. HPTree could benefit the users who focus on population evolution or long common genes (eg. 16s rRNA) evolution. The software tool along with its codes and datasets are accessible at http://lab.malab.cn/soft/HPtree/.
Date of Conference: 15-18 December 2016
Date Added to IEEE Xplore: 19 January 2017
ISBN Information:
Conference Location: Shenzhen, China

References

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