Nov 20, 2019 · A three-stage algorithm, namely GMeta that utilizes highly connected components on a weighted overlapping graph of sequences is illustrated for ...

This paper introduces a novel algorithm for binning metagenomic sequences without requiring reference databases by utilizing highly connected components inside ...

This paper introduces a novel algorithm for binning metagenomic sequences without requiring reference databases by utilizing highly connected components inside ...

GMeta: A Novel Algorithm to Utilize Highly Connected Components for Metagenomic Binning. https://doi.org/10.1007/978-3-030-35653-8_35 ·.

We developed a novel approach (AbundanceBin) for metagenomics binning by utilizing the different abundances of species living in the same environment.

GMeta: A Novel Algorithm to Utilize Highly Connected Components for Metagenomic Binning. HT Pham, LV Vinh, TV Lang, VH Tran. Future Data and Security ...

GMeta: A Novel Algorithm to Utilize Highly Connected Components for Metagenomic Binning. HT Pham, LV Vinh, TV Lang, VH Tran. Future Data and Security ...

GMeta: A Novel Algorithm to Utilize Highly Connected Components for Metagenomic Binning · Computer Science, Biology. FDSE · 2019.

GMeta: A Novel Algorithm to Utilize Highly Connected Components for Metagenomic Binning. HT Pham, LV Vinh, TV Lang, VH Tran. Future Data and Security ...

Works (2). sort. GMeta: A Novel Algorithm to Utilize Highly Connected Components for Metagenomic Binning. 2019 | Book chapter. DOI: 10.1007/978-3-030-35653-8_35.