2026-10-11T03:37:04Z https://www.scidb.cn/oai

10.57760/sciencedb.IGA.001dw 2026-08-31T11:25:48Z

2026-08-31 Sequencing data — [Metagenomic Detection and Customized Bioinformatic Analysis] doi:10.57760/sciencedb.iga.001dw en Metagenomic identification was performed on soybean nodule samples. Upon completion of sequencing, the raw data were first processed through procedures such as splitting and quality trimming to obtain high-quality sequences termed valid data. Assembling software was used for de‑novo assembly of these valid sequences, followed by gene prediction. The predicted genes were annotated and classified at both taxonomic and functional levels against databases including NR, KEGG and eggNOG. Meanwhile, the relative abundance of species in each sample was calculated. Based on these results, further analyses including sample similarity clustering, ordination test and differential statistical comparison were carried out. Low‑quality reads were filtered out, including reads containing more than 10 % ambiguous N bases, as well as reads in which bases with Q-score ≤ 15 accounted for over 50 % of total bases. The high-quality clean data generated after the above‑mentioned series of quality-control procedures were provided in FASTQ format. valid data; gene prediction; high‑quality data 阎哲 PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank