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Truseqtm nano dna lt sample prep kit set a

Manufactured by Illumina
Sourced in United States

The TruSeqTM Nano DNA LT Sample Prep Kit–Set A is a lab equipment product designed for DNA sample preparation. It provides the necessary reagents and protocols to prepare DNA samples for next-generation sequencing. The kit enables the creation of DNA libraries from small input amounts of DNA.

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2 protocols using truseqtm nano dna lt sample prep kit set a

1

Genome Sequencing of M. purpureus CSU-M183

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The whole genome of the M. purpureus CSU-M183 strain was sequenced using SMRT sequencing technology of PacBioRS II, and the sequencing quality was improved using Illumina NGS platform. The sequencing library was constructed using the TruSeqTM Nano DNA LT Sample Prep Kit–Set A (Illumina, USA) and amplified using the TruSeq PE Cluster Kit (Illumina, USA).
The quality of the assembled genome and annotated geneset were assessed first using the Benchmarking Universal Single-Copy Orthologs (version 3.1.0; BUSCO) with the fungi_odb9 dataset [33 (link)].
For raw data polymerase reads after PacBioRS II sequencing, subreads were obtained by removing the low-quality or unknown reads, adapters and duplications. The filtered reads were assembled de novo using the Hierarchical Genome Assembly Process (HGAP) algorithm version 2.0 [34 (link)].
For genome assembly, the default parameters of HGAP2 were used (Minimum Subread Length = 500, Minimum Polymerase Read Quality = 0.80, Minimum Polymerase Read Length = 100, Overlapper Error Rate = 0.06, Overlapper Min Length = 40) with input genome size as 30 Mb.
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2

Sequencing and Annotation of M. purpureus CSU-M183 Genome

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The whole genome of the M. purpureus CSU-M183 strain was sequenced using SMRT sequencing technology of PacBioRS II, and the sequencing quality was improved using Illumina NGS platform. The sequencing library was constructed using the TruSeq TM Nano DNA LT Sample Prep Kit-Set A (Illumina, USA) and amplified using the TruSeq PE Cluster Kit (Illumina, USA).
For raw data polymerase reads after PacBioRS II sequencing, subreads were obtained by removing the low-quality or unknown reads, adapters and duplications. The filtered reads were assembled de novo using the Hierarchical Genome Assembly Process (HGAP) algorithm version 2.0. [32] 2.4 Gene prediction and annotation AUGUSTUS [33] and SNAP [34] were performed to predict coding genes.
Genome functional annotation was performed using BLASTP, as well as NCBI nonredundant (NR), SwissProt, and Protein Information Resource (PIR) protein databases.
All predicted genes were classified according to the Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathways and Cluster of Orthologous Groups of proteins (COG).
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