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Hiseq x lane

Manufactured by Illumina
Sourced in Sweden

The HiSeq X lane is a component of the HiSeq X System, a high-throughput DNA sequencing platform developed by Illumina. The HiSeq X lane is designed to process and sequence multiple DNA samples simultaneously, enabling efficient and scalable genomic analysis.

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4 protocols using hiseq x lane

1

Whole-Genome Sequencing of Sifaka Primates

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For the sifakas housed at the DLC, we extracted DNA using the QIAGEN Blood and Cell Culture Kit. For the wild Verreaux’s sifaka individual, we extracted DNA as described in (107 (link)) from banked ear tissue. All samples then underwent quality control via PicoGreen quantification and gel imaging for concentration and purity. We used the manufacturer’s recommended procedures to generate Illumina 100-bp paired-end whole-genome sequencing libraries. We sequenced those libraries to 104.7× whole-genome coverage via runs of 12 lanes on an Illumina Hi-Seq 2000 instrument and 1 lane on an Illumina Hi-Seq 2500 instrument for the individual used for the assembly. The additional individuals were sequenced on two lanes of an Illumina Hi-Seq 2000 instrument each. For the Verreaux’s sifaka from Bezà Mahafaly Special Reserve, 150-bp paired-end libraries were generated and sequenced on a single Illumina Hi-Seq X lane.
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2

Linked-read Sequencing for N. phaeopus Genome

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We obtained a sample of N. phaeopus (ZMUC 112728) from the Natural History Museum of Denmark, Copenhagen, for reference genome assembly. Its genomic DNA was extracted using the KingFisher Duo Prime Magnetic Particle Processor (Thermo Fisher Scientific, USA) and the KingFisher Cell and Tissue DNA Kit (Thermo Fisher Scientific). A linked-read sequencing library was prepared using the Chromium Genome library kits (10 X Genomics) and sequenced on one Illumina Hiseq X lane at SciLifeLab Stockholm (Sweden). The de novo assembly analysis was performed using 10 X Chromium Supernova (v. 2.1.1). Reads were filtered for low quality and duplication, while assemblies were checked for accuracy and coverage and the best assembly was selected based on the highest genome coverage with the fewest errors. The final genome had a size of 1.12 Gb at a coverage of 50 X with N50=3504.2 kbp.
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3

Amplification and Sequencing of Influenza Virus Genomes

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Detailed laboratory and bioinformatic procedures for the following are provided in Supplemental Material 2. 1) Three pools were prepared, with each pool containing one replicate library from each AIV isolate. These pools were sequenced in-house on Illumina MiSeq to generate full HA, NA, and M segment sequences for each isolate and to confirm HA and NA subtypes. 2) Each pool was diluted in 1:100 (ng/ng) in one of three replicate libraries of background genomic material that had been prepared from a mock-infected chicken egg. Aliquots of each diluted pool were sequenced pre-capture at Canada’s Michael Smith Genome Sciences Centre (Vancouver, BC) on one Illumina HiSeq X lane to establish baseline HA, NA, and M segment abundance. 3) Each diluted pool was independently captured using the AIV_v1 probe panel. Captured pools were then sequenced in-house on Illumina MiSeq to assess target enrichment of HA, NA, and M segments post-capture.
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4

Sequence Analysis of Human and Mouse Tissues

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Sequence analysis was performed as described previously (1 (link)). Briefly, libraries were sequenced on an Illumina HiSeq 2500 lane (paired-end 125 bp) or HiSeq X lane (paired-end 150 bp). Sequencing reads were aligned to the human reference (hg19) using BWA-MEM version 0.7.6.a. Sequencing data from human tissue samples was deposited in the database of Genotypes and Phenotypes (dbGAP; accession no. phs000527) and data from mouse tissues was deposited in the National Center for Biotechnology Information's Sequence Read Archive (identifier SRP150031). The Integrative Genomics Viewer (IGV) (6 (link)) was used for manual evaluation of read alignments. GC bias and error rates were estimated using Picard (http://broadinstitute.github.io/picard) and Qualimap (7 (link)). Data were visualized using MultiQC (8 (link)).
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