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  • 308 Permanent Redirect
    We present a comprehensive catalogue of 52,515 metagenome-assembled genomes representing 12,556 novel candidate species-level operational taxonomic units (OTUs), spanning 135 phyla, which expand the known phylogenetic diversity of Bacteria and Archaea by 44%
  • Binning Metagenomic Contigs Using Contig Embedding and Decomposed . . .
    The MetaHIT dataset can be downloaded from https: portal nersc gov dna RD Metagenome_RD MetaBAT Files (accessed on 18 July 2024) In contrast to the simulated dataset CAMI2-HMP, the real dataset MetaHIT contains various noises, increasing the data’s complexity and bringing challenges to the analysis
  • Accurate binning of metagenomic contigs via automated clustering . . .
    In this study, we developed MyCC to automatically bin metagenomic contigs based on genomic signatures (and additional coverage profiles) and to visualize the binning of such metagenomes
  • MetaCRS: unsupervised clustering of contigs with the . . . - Springer
    The performance of CONCOCT, Maxbin2 0, MetaBAT, MyCC, COCACOLA and our proposed method on the MetaHIT dataset The x-axis represents six different clustering methods, and the y-axis represents the number of strains with different recall rate thresholds when the precision rate was greater than 90%
  • portal. nersc. gov
    [00:00:00] Using p1 90%, p2 90%, p3 95%, minProb 75%, minBinned 30%, minCV 1 0, minCorr 0%, paired 0 [00:00:25] Finished reading 195601 contigs Number of target contigs >= 2500 are 189618 [00:00:40] Finished reading 195601 contigs (using 156897) and 264 coverages from depth txt [00:01:23] Finished TNF calculation [00:13:02] Saving probability graph to saved gprob [00:13:09] Finished
  • Accurate binning of metagenomic contigs via automated clustering . . .
    In this study, we developed MyCC to automatically bin metagenomic contigs based on genomic signatures (and additional coverage profiles) and to visualize the binning of such metagenomes
  • MetaCRS: unsupervised clustering of contigs with the recursive strategy . . .
    The performance of CONCOCT, Maxbin2 0, MetaBAT, MyCC, COCACOLA and our proposed method on the MetaHIT dataset The x-axis represents six different clustering methods, and the y-axis represents the number of strains with different recall rate thresholds when the precision rate was greater than 90%
  • R Graphics Output - portal. nersc. gov
    MetaBAT + Reassembly MGS Draft Genomes 55 342 31
  • NERSC
    Files: point_input_file: depth_concoct txt output_centers_file: prof_canopy canopy_size_stats_file: stat not_processed_points_file: General: num_threads: 32 File
  • Accurate binning of metagenomic contigs via automated clustering . . .
    This dataset was derived from MetaHIT human gut metagenome data and contained 290 bacterial genomes Along with the 264-run depth file provided for CONCOCT, MyCC binned the error-free metagenome contigs into 187 clusters





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