DELETE. Solanum americanum clone 954750186 RenSeq: PacBio-HGAP

NIAID Data Ecosystem2026-03-10 收录

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https://www.ncbi.nlm.nih.gov/bioproject/PRJEB21465

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2018-01-01

Solanum americanum clone 954750186 SMRT resistance-gene enrichment sequencing (RenSeq). HGAP assembly of PacBio data.. Solanum americanum clone 954750186 RenSeq: PacBio-HGAP

Solanum americanum clone 954750186 resistance-gene enrichment sequencing (RenSeq) was performed using PacBio P6-C4 chemistry. The SMRT RenSeq data was assembled using PacBio HGAP. The study uses PacBi

NIAID Data Ecosystem30

Solanum americanum clone 954750186 Nanopore resistance-gene enrichment sequencing (RenSeq).. Solanum americanum clone 954750186 Nanopore RenSeq

Solanum americanum clone 954750186 resistance-gene enrichment sequencing (RenSeq) was performed using Oxford Nanopore MinION R7.3 chemistry. The dataset compares to PacBio RenSeq data described in 'Wi

NIAID Data Ecosystem20

Oxford Nanopore MinION resistance-gene enrichment sequencing of Solanum americanum clone 954750186. Solanum americanum clone 954750186 Nanopore MinION RenSeq

Solanum americanum clone 954750186 resistance-gene enrichment sequencing (RenSeq) was performed using four Oxford Nanopore MinION flowcells (R7.3 chemistry). The data was assembled using Canu-1.0 and

NIAID Data Ecosystem20

Solanum americanum clone 954750186 SMRT resistance-gene enrichment sequencing (RenSeq). Canu assembly of PacBio data.. Solanum americanum clone 954750186 RenSeq: PacBio-Canu

Solanum americanum clone 954750186 resistance-gene enrichment sequencing (RenSeq) was performed using PacBio P6-C4 chemistry. The SMRT RenSeq data was assembled using Canu. The study uses PacBio data

NIAID Data Ecosystem10

Solanum americanum clone 954750186 SMRT resistance-gene enrichment sequencing (RenSeq). Geneious R8 assembly of PacBio data.. Solanum americanum clone 954750186 RenSeq: PacBio-Geneious R8

Solanum americanum clone 954750186 resistance-gene enrichment sequencing (RenSeq) was performed using PacBio P6-C4 chemistry. The SMRT RenSeq data was assembled using Geneious R8. The study uses PacBi

NIAID Data Ecosystem10