Additional file 1: of Massive metagenomic data analysis using abundance-based machine learning

Autor:	Harris, Zachary, Dhungel, Eliza, Mosior, Matthew, Tae-Hyuk Ahn
Rok vydání:	2019
DOI:	10.6084/m9.figshare.9210998.v1
Popis:	Figure S1. A schematic view of the reduced-representation paradigms for the assembly-based approach. In the random paired-end subset (PP), half of each city was extracted randomly while maintaining the paired-end structure of the data. In the left-only subset (PL), only the left read from each sample were used for the assembly. (PDF 656 kb)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5aa69e44063fc564fd943b413f5be65a Zobrazit plný text záznamu