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Nextera AS next-generation sequencing libraries
Next Generation Sequencing Libraries, supplied by Nextera AS, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/next+generation+sequencing+data/next+generation+sequencing+libraries/pm30059786-357-2-6
Average 90 stars, based on 1 article reviews
next-generation sequencing libraries - by Bioz Stars, 2026-10
90/100 stars

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Related Articles

Next-Generation Sequencing:

Article Title: Cas12a/Cpf1 knock-in mice enable efficient multiplexed immune cell engineering
Article Snippet: .. Nextera library preparation followed by Next Generation Sequencing was used to quantify the gene editing efficiency on molecular level. .. For all crRNAs targeting surface proteins in CD4 and CD8 T cells, higher indel percentages were observed compared to vector controls ( ). crCD4-1 generated the highest (66%) indels for the CD4 T cells ( , ).

Article Title: Characterization of chromatin accessibility with a transposome hypersensitive sites sequencing (THS-seq) assay.
Article Snippet: .. Caruccio N. Preparation of next-generation sequencing libraries using Nextera technology: simultaneous DNA fragmentation and adaptor tagging by in vitro transposition. ..

Article Title: Striking antibody evasion manifested by the Omicron variant of SARS-CoV-2.
Article Snippet: .. To verify the sequences of variants, next-generation sequencing libraries were prepared according to a low-volume Nextera sequencing protocol43 and sequenced on the Illumina Miseq platform (single-end mode with 50 bp R1). ..

Article Title: In vivo CRISPR screening in CD8 T cells with AAV-Sleeping Beauty hybrid vectors identifies membrane targets for improving immunotherapy for glioblastoma.
Article Snippet: .. DNA level analyses by surveyor assay and Nextera next generation sequencing demonstrated that PDIA3 knockout was highly efficient (86%) (Fig. 5b–d). ..

Article Title: Multi-omic elucidation of aromatic catabolism in adaptively evolved Rhodococcus opacus.
Article Snippet: .. Preparation of next-generation sequencing libraries using Nextera technology: simultaneous DNA fragmentation and adaptor tagging by in vitro transposition. ..

In Vitro:

Article Title: Characterization of chromatin accessibility with a transposome hypersensitive sites sequencing (THS-seq) assay.
Article Snippet: .. Caruccio N. Preparation of next-generation sequencing libraries using Nextera technology: simultaneous DNA fragmentation and adaptor tagging by in vitro transposition. ..

Article Title: Multi-omic elucidation of aromatic catabolism in adaptively evolved Rhodococcus opacus.
Article Snippet: .. Preparation of next-generation sequencing libraries using Nextera technology: simultaneous DNA fragmentation and adaptor tagging by in vitro transposition. ..

other:

Article Title: Antifungal Triazole Posaconazole Targets an Early Stage of the Parechovirus A3 Life Cycle
Article Snippet: Viruses from Vero-P passages 0 through 14 were sequenced using a Nextera XT next-generation sequencing (NGS) library kit and a 300-cycle (2 150-bp paired-end) MiSeq reagent kit, v2 (Illumina, San Diego, CA), as described previously (46).

Article Title: Antifungal Triazole Posaconazole Targets an Early Stage of the Parechovirus A3 Life Cycle
Article Snippet: Viruses from Vero-P passages 0 through 14 were sequenced using a Nextera XT next-generation sequencing (NGS) library kit and a 300-cycle (2× 150-bp paired-end) MiSeq reagent kit, v2 (Illumina, San Diego, CA), as described previously ( 46 ).

Article Title: Whole genome sequencing-based drug resistance predictions of multidrug-resistant Mycobacterium tuberculosis isolates from Tanzania
Article Snippet: Libraries for next generation sequencing (NGS) were prepared from gDNA using a modified Nextera protocol.

Sequencing:

Article Title: Striking antibody evasion manifested by the Omicron variant of SARS-CoV-2.
Article Snippet: .. To verify the sequences of variants, next-generation sequencing libraries were prepared according to a low-volume Nextera sequencing protocol43 and sequenced on the Illumina Miseq platform (single-end mode with 50 bp R1). ..

Knock-Out:

Article Title: In vivo CRISPR screening in CD8 T cells with AAV-Sleeping Beauty hybrid vectors identifies membrane targets for improving immunotherapy for glioblastoma.
Article Snippet: .. DNA level analyses by surveyor assay and Nextera next generation sequencing demonstrated that PDIA3 knockout was highly efficient (86%) (Fig. 5b–d). ..



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Data preprocessing workflow. When analyzing NGS datasets with KPop, one can optionally pre-process sequencing reads in order to eliminate biases and/or have the method focus on specific parts of the genome. For instance, one might align reads to a (pan-)genome and separate them into reads that align (likely to originate from the organism being studied) and reads that do not (likely to come from contaminations). Furthermore, reads that do map to the pan-genome might be separated into groups specific to different genomic features; for instance, one might align them to a set of MLST genes or AMR genes. Full k -mer spectra would then be separately obtained from each group of reads (contaminations, pan-genomic, MLST genes, AMR genes) and given as input to downstream/classification methods. The choice of the group of reads from which spectra are computed determines the set of sequences seen by the method, and hence the scope of the classification

Journal: Genome Biology

Article Title: KPop: accurate and scalable comparative analysis of microbial genomes by sequence embeddings

doi: 10.1186/s13059-025-03585-8

Figure Lengend Snippet: Data preprocessing workflow. When analyzing NGS datasets with KPop, one can optionally pre-process sequencing reads in order to eliminate biases and/or have the method focus on specific parts of the genome. For instance, one might align reads to a (pan-)genome and separate them into reads that align (likely to originate from the organism being studied) and reads that do not (likely to come from contaminations). Furthermore, reads that do map to the pan-genome might be separated into groups specific to different genomic features; for instance, one might align them to a set of MLST genes or AMR genes. Full k -mer spectra would then be separately obtained from each group of reads (contaminations, pan-genomic, MLST genes, AMR genes) and given as input to downstream/classification methods. The choice of the group of reads from which spectra are computed determines the set of sequences seen by the method, and hence the scope of the classification

Article Snippet: In order to do so, simulated next-generation sequencing (NGS) data was generated for each genome using ART [ ], emulating Illumina HiSeq 2500 paired-end reads of length 150 bp with an average coverage of 20-fold.

Techniques: Sequencing