BMC genomic data最新文献

{"title":"Complete genome sequence of Streptomyces californicus ADR1, an anti-infective, anti-biofilm and anti-oxidant producing endophyte isolated from the medicinal plant Datura metel.","authors":"Khushboo Yadav, Sarika Phogat, Varsha Verma, Ashok K Dubey","doi":"10.1186/s12863-026-01459-x","DOIUrl":"10.1186/s12863-026-01459-x","url":null,"abstract":"<p><strong>Objective: </strong>Streptomyces californicus strain ADR1 is an endophytic actinobacterium isolated from Datura metel that produces secondary metabolites with potent antibacterial and anti-biofilm activities against WHO-listed high-priority Gram-positive pathogens. While anti-bacterial and antioxidant potential of the strain ADR1 has been extensively characterized, its complete genome sequence remains to be investigated for further insights into its biosynthetic potential. This study presents the complete genome sequence analysis of the strain ADR1 to provide a robust genomic foundation for understanding its metabolic versatility and biosynthesis of compounds with therapeutic significance.</p><p><strong>Data description: </strong>The ADR1 genome was sequenced using Illumina HiSeq. The assembly comprised 262 scaffolds with a total genome size of 8.4 Mb and G + C content of 72.5%, containing 7427 protein-coding genes. AntiSMASH and IIT-Hyderabad novelBGC analysis revealed 39 biosynthetic gene clusters, including non-ribosomal peptide synthetases, type I polyketide synthases, terpene and melanin clusters, correlating with the diverse therapeutic compounds previously identified through GC-MS analysis. This high-quality genome provides crucial insights into the biosynthetic potential underlying potent antimicrobial and antioxidant activities of the strain ADR1.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13563878/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148341201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Whole genome sequence of a superbug-Escherichia coli strain KAB-AI-497 isolated from the vagina of a 20 year old pregnant woman with premature rupture of membrane (PROM) in a resource limited setting, Kabale Regional Referral Hospital, in Uganda.","authors":"Ismail Abiola Adebayo, Leila Abdukadir Abdullahi, Chrispuss Ngabirano, Irene Mukenya Mutuku, Wasiu Abayomi Moyosore, Muritala Issa Bale, Ganiyat Odunayo Ganiyu, Rasheed Omotayo Adeyemo, Saheed Adekunle Akinola, John Chrysostom Lule","doi":"10.1186/s12863-026-01460-4","DOIUrl":"10.1186/s12863-026-01460-4","url":null,"abstract":"<p><strong>Objectives: </strong>The objective of the study is to sequence the whole genome of multidrug resistant E. coli strain KAB-AI-497 that causes bacterial vaginosis and implicated in premature rupture of membrane in pregnant woman.</p><p><strong>Data description: </strong>The DNA of the E. coli strain KAB-AI-497 was extracted using the MagAttract HMW DNA Kit, and the extracted DNA was sequenced using an MGI DNBSEQ G99ARS platform. FastQC was used to perform quality control analysis and the reads were trimmed by Trimmomatic. De novo genome assembly was performed by SPAdes and it resulted to a draft assembled genome that has 5.1 Mb genome size, 153 contigs, and 50.5% GC content. Quality analysis of the assembled genome revealed it has 98.46% completeness and 0.97% contamination. The closest E. coli strain to this strain KAB-AI-497 in terms of similarity was Escherichia coli SMS-3-5 with an average nucleotide identity of 98.43% and genome coverage of 86.19%, which confirmed the species level identity of the strain. The assembled genome was annotated using the NCBI Prokaryotic Genome Annotation Pipeline which identified 4,726 protein coding genes in the strain genome. Furthermore, the annotation revealed the genome has resistant genes responsible for resistance against many antibiotic classes such as tetracycline, fluoroquinolone, and penicillin.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13563737/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148341262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transcriptomic responses to endurance exercise training in rats.","authors":"Conrad Oakes, Lior Pachter","doi":"10.1186/s12863-026-01440-8","DOIUrl":"10.1186/s12863-026-01440-8","url":null,"abstract":"<p><p>The bio-molecular changes of exercise, and how to best optimize them for improved performance, are an important human health research question. A recent study by the Molecular Transducers of Physical Activity Consortium (MoTrPAC) used a cohort of Rattus norvegicus to produce a whole-organism molecular map of the temporal effects of endurance exercise training. This dataset, encompassing hundreds of assays across 19 different tissues, can be used to evaluate the predictive power of gene expression, understand isoform-level changes in response to exercise, and with modern tools can be examined for associations with viral infection. Our analysis of the RNA-seq data reveals that gene expression can accurately predict the amount of exercise a rat was trained in. Additionally, we find biologically relevant isoform-level differences in expression that are masked in gene-level analysis. Finally, we find a potential novel virus that may negatively impact physiological measurements. This more comprehensive analysis provides a blueprint for directing similar analyses with respect to physiological perturbations across organisms.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13548577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148297479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chromosome-level assembly and annotation of the Jaguar (Panthera onca) genome.","authors":"Fernando Cruz, Jèssica Gómez-Garrido, Anna Vlasova, Inti Tarifa-Rieschle, Maria Clara Campos, Francisco Pisciottano, Marta Gut, Tyler S Alioto, Patricia Saragüeta, Toni Gabaldón","doi":"10.1186/s12863-026-01455-1","DOIUrl":"10.1186/s12863-026-01455-1","url":null,"abstract":"<p><strong>Objectives: </strong>The Jaguar (Panthera onca) is a large cat species native to the Americas. Despite being successful predators, jaguar populations have declined due to habitat loss. Genome resources can help in conservation efforts as well as in understanding the interesting biology of these Felids. Beside contiguity, a well annotated reference genome provides contextual information for variants that will benefit the design of appropriate conservation programs.</p><p><strong>Data description: </strong>We sequenced material from two individuals using a combination of ONT reads and Illumina PE. The resulting nuclear genome assembly has a larger contig N50 (48.04 Mb) compared with the existing annotated chromosome-level assembly published by the DNA Zoo project. Using public Hi-C data, we obtained an improved chromosome-level assembly of the Jaguar genome (mPanOnc3.5) with larger contigs, 99.85% of the sequence assigned to chromosomes and 25,267 protein coding genes annotated. Overall, this improved assembly provides a better reference to study this threatened species.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13548542/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148297548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A candidate-variant association study of self-reported asthma in mothers of the Cebu Longitudinal Health and Nutrition Survey (CLHNS) cohort.","authors":"Alvin E Lirio, Jing Chen, Paulita Duazo, Nanette Lee, Linda Adair, Martin D Tobin, Catherine John, Anna L Guyatt","doi":"10.1186/s12863-026-01419-5","DOIUrl":"10.1186/s12863-026-01419-5","url":null,"abstract":"<p><strong>Background: </strong>Asthma is an obstructive respiratory disease with greatest morbidity in low- and middle-income countries: 15% of the Filipino population are estimated to have asthma, half of whom have inadequately controlled disease. There are many known genetic associations with asthma, but lack of representation across ancestries means that understudied populations do not yet stand to benefit equally from genomic research. We performed the first genetic association study of asthma in a Filipino population. We performed a candidate-variant association study in 1,678 unrelated mothers (129 with self-reported asthma) of the Cebu Longitudinal Health and Nutrition Survey (CLHNS). Using the largest published multi-ancestry asthma GWAS (Global Biobank Meta-Analysis Initiative, GBMI), we selected sentinel single-nucleotide polymorphisms (SNPs) associated in the multi-ancestry analysis (P < 5 × 10^- 8), and in GBMI East Asian (EAS) participants (P < 5 × 10^- 6). SNPs (or proxies r² > 0.8) were tested for association with asthma, adjusting for age and 15 principal components. Variants were then aggregated into a genetic risk score (GRS), weighted by effect sizes reported in the EAS GBMI asthma GWAS. We examined whether the identified top signals from GBMI EAS GWAS were associated in our study.</p><p><strong>Results: </strong>Twenty-seven SNPs were analysed. Only one intronic variant in SMAD3 was associated with asthma at a Bonferroni-corrected threshold (rs17293632, OR 1.80, 95%CI 1.28-2.54, P = 0.0008). SMAD3 is involved in TGF-β signalling, related to airway remodelling in asthma. The GRS was associated with increased odds of asthma (OR per weighted allele increase 1.07 [95%CI 1.01-1.14], P = 0.022). Five of the 37 top signals in the EAS GWAS were associated in our study, although none of these five signals reached a Bonferroni p-value threshold of P = 1.35 × 10^- 3.</p><p><strong>Conclusions: </strong>Despite the small sample size, we detected a known SNP-asthma association in CLHNS using a candidate-variant approach, and demonstrated the value of aggregating variants into GRS when power is limited (using confidently ascribed weights from large GWAS). However, we were underpowered to undertake a GWAS, and thus to discover novel associations. Commitment by the genomics field as a whole to cohort development and investment in understudied populations will be key to addressing inequity in asthma genetic research.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13308225/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148280155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of high-risk SNPs in SLC22A transporter genes: their potential role in PCOS and metformin uptake.","authors":"R Harini, B Usha, R Satish, Pai Akshatha, T M Vijaya Kumar","doi":"10.1186/s12863-026-01424-8","DOIUrl":"10.1186/s12863-026-01424-8","url":null,"abstract":"<p><p>Polycystic ovary syndrome is a prevalent, heterogeneous endocrine and metabolic disorder affecting approximately 10% of women of reproductive age, often characterized by hyperandrogenism, anovulation, and insulin resistance. Metformin, a first-line treatment for type 2 diabetes, is also widely prescribed for PCOS to reduce insulin resistance and induce ovulation. However, therapeutic response varies significantly across individuals, partly due to genetic variations in solute carrier (SLC) transporters. The organic cation transporter family, encoded by SLC22A1 (O15245), SLC22A2 (O15244), and SLC22A3 (O75751), facilitates metformin uptake into hepatocytes and renal excretion. Using an in silico pipeline, Align GVGD, PolyPhen-2, PROVEAN, PANTHER, PhD-SNP, and the ensemble predictor Meta-SNP, we screened 14 deleterious nonsynonymous SNPs. Solvent accessibility values were derived using NetSurfP, indicating that L42R (RSA: 0.54, ASA: 96.2 Ų) and F422S (RSA: 0.49, ASA: 85.7 Ų) are surface-exposed and likely to influence protein interaction. In contrast, R175L (RSA: 0.07, ASA: 18.4 Ų) and T275M (RSA: 0.06, ASA: 21.1 Ų) were buried and may impact local folding. ΔΔG predictions using MuPro ranged from -0.01745 to -1.99395, consistently indicating decreased protein stability. Structural models were built in SWISS-MODEL and validated via MolProbity scores (<1.5), ERRAT (>85%), and PROSA Z-scores (-6.8 to -8.2). Functional enrichment of the PPI network (STRING-DB) highlighted significant roles in drug transmembrane transport (GO:0006857, p = 2·3e-06), organic cation transport (GO:0015695, p = 4·7e-05), and xenobiotic metabolism pathways. These mutations may impair metformin pharmacokinetics and contribute to inter-individual therapeutic variability. While this study is limited by its computational design, the findings identify high-priority SNPs for future experimental validation, offering a foundation for precision pharmacogenomics in PCOS management.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13277229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148273941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Muscle-specific CUT&Tag profiling dataset of UNC-130 in Caenorhabditis elegans.","authors":"Yimeng Gao, Yongbin Li","doi":"10.1186/s12863-026-01453-3","DOIUrl":"10.1186/s12863-026-01453-3","url":null,"abstract":"<p><strong>Objectives: </strong>Transcription factors can exhibit tissue-dependent chromatin-binding patterns. In Caenorhabditis elegans, genome-wide transcription factor binding profiles have primarily been generated from whole-animal samples using chromatin immunoprecipitation-based approaches, which represent aggregated signals from multiple tissues. Genome-wide datasets generated using Cleavage Under Targets and Tagmentation remain limited in this organism. UNC-130 is expressed in several tissues, but muscle-specific chromatin-binding data have not been available. In addition to providing muscle-resolved binding information, such datasets may also serve as useful references for optimizing CUT&Tag experimental and computational workflows in C. elegans.</p><p><strong>Data description: </strong>A Cre-loxP-based conditional tagging strategy was used to epitope-label endogenous UNC-130 specifically in muscle tissue. Cleavage Under Targets and Tagmentation was performed on embryonic cells to profile genome-wide chromatin occupancy. The dataset includes raw paired-end sequencing reads, processed alignment files, peak files, normalized coverage tracks, and genome-editing construct information. All data files and associated metadata are deposited in public repositories and provide a resource for examining muscle-specific chromatin occupancy of UNC-130.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13508319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148266943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Divergent autoimmune genetic landscapes in diabetic and non-diabetic individuals.","authors":"R V Shravya, A I Ananthakrishnan, Ranajit Das","doi":"10.1186/s12863-026-01452-4","DOIUrl":"10.1186/s12863-026-01452-4","url":null,"abstract":"<p><strong>Background: </strong>Type 2 diabetes (T2D) and autoimmune diseases are complex disorders shaped by genetic, immunological, and environmental factors. However, differences in genetic susceptibility to autoimmune disorders between diabetic and non-diabetic individuals remain poorly understood, particularly within the Indian population. This study aimed to compare polygenic susceptibility to multiple autoimmune diseases between individuals with and without T2D from Gujarat, India.</p><p><strong>Results: </strong>Polygenic risk scores were evaluated for eleven autoimmune diseases in 474 individuals, including 99 diabetics and 375 non-diabetics. Significant differences were observed for systemic lupus erythematosus and rheumatoid arthritis. Individuals with diabetes showed a higher genetic risk for systemic lupus erythematosus, whereas non-diabetic individuals exhibited a higher genetic risk for rheumatoid arthritis. Pathway enrichment analysis of disease-associated genetic variants revealed significant involvement of immune-related pathways, including antigen processing and presentation, T-helper cell differentiation, and immune responses to viral infections.</p><p><strong>Conclusions: </strong>The findings reveal disease-specific differences in genetic susceptibility to autoimmune disorders between diabetic and non-diabetic individuals. These results highlight the complex immunogenetic relationship between type 2 diabetes and autoimmune diseases and provide insight into shared and distinct immune pathways within an Indian population. Such information may support future efforts in risk stratification and precision medicine approaches for immune-related comorbidities in diabetes.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13555873/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148254525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hi-C guided genome assembly and karyotype analysis of the Indian population of Maruca vitrata (Lepidoptera: Crambidae) set the stage for structural and functional genomic insights.","authors":"Muthugounder Mohan, P J Aneesha, Karuppannasamy Ashok, R Gandhi Gracy, T Venkatesan, Sagar Doddchowdappa, Kesavan Subaharan, Suresh Ramakrishana Jambagi, B Anilkumar, N Vijayakumari, C R Chandana, S N Sushil, Ramasamy Srinivasan","doi":"10.1186/s12863-026-01446-2","DOIUrl":"10.1186/s12863-026-01446-2","url":null,"abstract":"<p><strong>Objectives: </strong>The spotted or legume pod borer, Maruca vitrata (Lepidoptera: Crambidae), is a global insect pest of many economically important grain and vegetable legume crops. Although the species is believed to have originated in the Indo-Malayan region, populations in India have shown evidence of genetic divergence, potentially representing distinct cryptic species or host-associated races. A comprehensive understanding of the evolutionary relationships and functional divergence within M. vitrata is currently limited by the absence of detailed genomic resources. Integrating karyotype data with high-resolution genomic information is therefore essential to elucidate the genetic architecture and evolutionary dynamics of the Indian lineage of M. vitrata and to inform effective pest management strategies.</p><p><strong>Data description: </strong>PacBio HiFi sequencing and proximity ligation technique (Hi-C), we provide here an improved genome assembly of M. vitrata. The 459.3 Mb genome was assembled into 45 scaffolds with a scaffold N50 of 15.6 Mb. The 31 pseudochromosomes (size range from 9.48 to 20.42 Mb) accounted for 458 Mb, representing 99.73% of the genome assembly. The genome has a repeat content of 36.67% and 21,586 protein-coding genes. The genome completeness analysis using BUSCO with the Insecta lineage((Insecta_odb10) captured 99.5% of the complete BUSCOs. The karyotype analysis revealed the presence of 31 chromosomes (1n). This genome-scale data helps by identifying target genes for the development pest management strategies in the future. The 31 pseudochromosomes correspond to the 31 chromosomes identified through karyotype analysis, thereby confirming the chromosomal-level completeness and structural accuracy of the assembly.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13292516/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shotgun metagenomic dataset of surface microbiomes at a train station in Shinagawa, Tokyo.","authors":"Xinxin Gao, Ayaka Sanui, Dewa A P Rasmika Dewi, Alexander G Lucaci, Christopher E Mason, Haruo Suzuki","doi":"10.1186/s12863-026-01451-5","DOIUrl":"10.1186/s12863-026-01451-5","url":null,"abstract":"<p><strong>Objectives: </strong>The urban microbiome is a significantly underexplored ecosystem which contributes to the health and resilience of the human population and less is known about the microbiome of urban transportation systems that commuters interact with daily. Shotgun metagenomic sequencing data from swab samples were collected at a representative medium-scale urban commuter railway station in Tokyo, Japan, with daily passenger volumes on the order of tens of thousands, in October 2021. The dataset was generated as part of the nationwide \"Urban Microbiomes in Japan\" project and provides a resource for comparative analyses of urban microbial diversity and future public health surveillance studies in urban environments.</p><p><strong>Data description: </strong>Three surface swab samples were collected in October 2021 from concrete floor areas near ticket gates at a major railway station in Shinagawa, Tokyo. Samples were collected using Isohelix swabs with DNA/RNA Shield stabilization solution. Metagenomic DNA was extracted and subjected to shotgun sequencing, generating 2 × 150 bp paired-end reads.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13488565/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}