BED-Craft for nanopore adaptive sampling: a tool for generating bed files with gene names as input data for enrichment sequencing

The tool is freely available on GitHub at https://github.com/medicalbioinfo/BED-Craft . The input is a text file containing one or more gene names (symbols), and even with a large number of input genes (e.g., thousands), the resulting .bed file is generated in less than a second. The length of the buffer region added upstream and downstream of the ROI is designed to account for genome strand orientation, ensuring efficient adaptive sampling. The buffer length can also be modified by the user. The tool supports the genomes of human hg19, hg38, T2T-CHM13, and other species. For researchers unfamiliar with command-line input, a GUI version of the tool is also available at https://keio-cmg.jp/BED-Craft/ . This easy-to-use .bed file generation tool enables adaptive sampling by easily changing the target genes of interest in nanopore sequencing, and provide great benefits to researchers and diagnostic laboratories.

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Publication Details

Journal
BMC Research Notes
Published
2025-02-21
DOI
https://doi.org/10.1186/s13104-025-07152-z
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

BED-Craft for nanopore adaptive sampling: a tool for generating bed files with gene names as input data for enrichment sequencing

Fuyuki Miya, Kenjiro Kosaki
BMC Research Notes
Genomics and Phylogenetic Studies
article

BED-Craft for nanopore adaptive sampling: a tool for generating bed files with gene names as input data for enrichment sequencing

Fuyuki Miya, Kenjiro Kosaki
article en

Abstract

The tool is freely available on GitHub at https://github.com/medicalbioinfo/BED-Craft . The input is a text file containing one or more gene names (symbols), and even with a large number of input genes (e.g., thousands), the resulting .bed file is generated in less than a second. The length of the buffer region added upstream and downstream of the ROI is designed to account for genome strand orientation, ensuring efficient adaptive sampling. The buffer length can also be modified by the user. The tool supports the genomes of human hg19, hg38, T2T-CHM13, and other species. For researchers unfamiliar with command-line input, a GUI version of the tool is also available at https://keio-cmg.jp/BED-Craft/ . This easy-to-use .bed file generation tool enables adaptive sampling by easily changing the target genes of interest in nanopore sequencing, and provide great benefits to researchers and diagnostic laboratories.

BMC Research NotesVol. 18(1)
Keio University (JP)
Japan Agency for Medical Research and Development
Zero hunger
Openalex Percentile: Top 97%
Genomics and Phylogenetic Studies
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