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simulated next-generation sequencing data  (Illumina Inc)
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simulated next-generation sequencing (ngs) data  (Illumina Inc)
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Data preprocessing workflow. When analyzing <t>NGS</t> datasets with KPop, one can optionally pre-process <t>sequencing</t> 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
Simulated Next Generation Sequencing (Ngs) Data, supplied by Illumina Inc, 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/result/simulated next-generation sequencing (ngs) data/product/Illumina Inc
Average 90 stars, based on 1 article reviews
simulated next-generation sequencing (ngs) data - by Bioz Stars, 2026-04
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next-generation sequencing data  (Biotechnology Information)
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Biotechnology Information next-generation sequencing data
Data preprocessing workflow. When analyzing <t>NGS</t> datasets with KPop, one can optionally pre-process <t>sequencing</t> 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
Next Generation Sequencing Data, supplied by Biotechnology Information, 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/result/next-generation sequencing data/product/Biotechnology Information
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next-generation sequencing data - by Bioz Stars, 2026-04
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next-generation sequencing data of pre-treatment serum and pbmc samples performed on illumina mi-seq  (Illumina Inc)
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Illumina Inc next-generation sequencing data of pre-treatment serum and pbmc samples performed on illumina mi-seq
Data preprocessing workflow. When analyzing <t>NGS</t> datasets with KPop, one can optionally pre-process <t>sequencing</t> 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
Next Generation Sequencing Data Of Pre Treatment Serum And Pbmc Samples Performed On Illumina Mi Seq, supplied by Illumina Inc, 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/result/next-generation sequencing data of pre-treatment serum and pbmc samples performed on illumina mi-seq/product/Illumina Inc
Average 90 stars, based on 1 article reviews
next-generation sequencing data of pre-treatment serum and pbmc samples performed on illumina mi-seq - by Bioz Stars, 2026-04
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next-generation sequencing data  (Caris Life Sciences)
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Caris Life Sciences next-generation sequencing data
Data preprocessing workflow. When analyzing <t>NGS</t> datasets with KPop, one can optionally pre-process <t>sequencing</t> 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
Next Generation Sequencing Data, supplied by Caris Life Sciences, 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/result/next-generation sequencing data/product/Caris Life Sciences
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next-generation sequencing data - by Bioz Stars, 2026-04
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next-generation sequencing (ngs) data  (Caris Life Sciences)
90
Caris Life Sciences next-generation sequencing (ngs) data
Data preprocessing workflow. When analyzing <t>NGS</t> datasets with KPop, one can optionally pre-process <t>sequencing</t> 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
Next Generation Sequencing (Ngs) Data, supplied by Caris Life Sciences, 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/result/next-generation sequencing (ngs) data/product/Caris Life Sciences
Average 90 stars, based on 1 article reviews
next-generation sequencing (ngs) data - by Bioz Stars, 2026-04
90/100 stars
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next-generation sequencing (ngs) raw data  (Illumina Inc)
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Illumina Inc next-generation sequencing (ngs) raw data
Data preprocessing workflow. When analyzing <t>NGS</t> datasets with KPop, one can optionally pre-process <t>sequencing</t> 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
Next Generation Sequencing (Ngs) Raw Data, supplied by Illumina Inc, 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/result/next-generation sequencing (ngs) raw data/product/Illumina Inc
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next-generation sequencing (ngs) raw data - by Bioz Stars, 2026-04
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next-generation sequencing (ngs) raw data  (Oxford Nanopore)
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Oxford Nanopore next-generation sequencing (ngs) raw data
Data preprocessing workflow. When analyzing <t>NGS</t> datasets with KPop, one can optionally pre-process <t>sequencing</t> 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
Next Generation Sequencing (Ngs) Raw Data, supplied by Oxford Nanopore, 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/result/next-generation sequencing (ngs) raw data/product/Oxford Nanopore
Average 90 stars, based on 1 article reviews
next-generation sequencing (ngs) raw data - by Bioz Stars, 2026-04
90/100 stars
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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