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Reduced Representation Bisulfite Sequencing (RRBS)
Reduced Representation Bisulfite Sequencing (RRBS) has emerged as a cost-effective and efficient alternative to Whole Genome Bisulfite Sequencing (WGBS) in DNA methylation research. While WGBS provides comprehensive insights by examining the entire genome at single base resolution, its high cost can be a limiting factor. RRBS strategically mitigates this challenge by selectively analyzing a representative portion of the genome. This methodology relies on the enrichment of CpG island-rich regions by MspI cleavage followed by size selection of 200-500/600 bps fragments. Consequently, only regions proximal to CpG islands are sequenced, while those with distant CpG islands are excluded from the analysis. This process, combined with bisulfite sequencing, allows for high-resolution detection of DNA methylation, and the sequencing approach, PE150, focuses specifically on the ends of the inserts rather than the middle, increasing the efficiency of methylation profiling. The RRBS is an invaluable tool that enables cost-effective DNA methylation research and advances knowledge of epigenetic mechanisms.
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Prokaryotic mRNA sequencing
mRNA sequencing empowers the comprehensive profiling of all mRNA transcripts within cells under specific conditions. This cutting-edge technology serves as a potent tool, unveiling intricate gene expression profiles, gene structures, and molecular mechanisms associated with diverse biological processes. Widely adopted in fundamental research, clinical diagnostics, and drug development, mRNA sequencing offers insights into the intricacies of cellular dynamics and genetic regulation. Our prokaryotic mRNA sample processing is tailored for prokaryotic transcriptomes, involving rRNA depletion and directional library preparation.
Platform: Illumina NovaSeq X
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Metatranscriptome Sequencing
Leveraging Illumina sequencing technology, BMKGENE’s metatranscriptome sequencing service unveils the dynamic gene expression of a diverse array of microbes, spanning eukaryotes to prokaryotes and viruses, within natural environments such as soil, water, sea, stool, and the gut. Our comprehensive service empowers researchers to delve into the entirety of gene expression profiles within complex microbial communities. Beyond taxonomic analysis, our metatranscriptome sequencing service facilitates exploration into functional enrichment, shedding light on differentially expressed genes and their roles. Uncover a wealth of biological insights as you navigate the complex landscapes of gene expression, taxonomic diversity, and functional dynamics within these diverse environmental niches.
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Fungal complete genome
BMKGene offers versatile solutions for fungal genomes, catering to diverse research needs and desired genome completeness. Utilizing short-read Illumina sequencing alone allows the generation of a draft genome. For a more refined fungal genome with longer contigs, both short-reads and long-read sequencing using Nanopore or PacBio are combined. Moreover, the integration of Hi-C sequencing further enhances the capabilities, enabling the attainment of a complete chromosome-level genome.
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Toolkits
BMKCloud is a leading bioinformatic platform providing one-stop solution for genomic programs, which is widely trusted by researchers in various arena including medical, agricultural, environmental, etc. BMKCloud is committed to provide integrated, reliable and efficient services including bioinformatic analysis platforms and tools, computing resources, public database, bioinformtic online courses, etc. BMKCloud has various frequently used bioinformatic tools of including gene annotation, evolutionary genetic tools, ncRNA, data quality control, assembly, alignment, data extraction, mutations, statistics, figure generator, sequence analysis,etc.
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Bacterial complete genome
BMKGene provides a complete bacterial genome assembly service, guaranteeing 0 gaps. This is made possible by the integration of long-read sequencing technologies Nanopore and PacBio for assembly and short-read sequencing with Illumina for assembly validation and error correction of ONT reads. Our service provides the complete bioinformatic workflow from assembly, functional annotation, and advanced bioinformatic analysis, fulfilling specific research goals. This service enables the development of precise reference genomes for various genetic and genomic studies. Additionally, it forms the basis for applications such as strain optimization, genetic engineering, and microbial technology development, ensuring reliable and gap-free genomic data crucial for advancing scientific insights and biotechnological innovation.
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small RNA
Small RNAs are type of short non-coding RNA with average length of 18-30 nt, including miRNA, siRNA and piRNA. These small RNAs have been massively reported to be involved in various biological processes such as mRNA degradation, translation inhibition, heterochromatin formation, etc. SmallRNA sequencing analysis has been widely applied in studies on animal/plant development, disease, virus, etc. Small RNA sequencing analysis platform consists of standard analysis and advanced data mining. On base of RNA-seq data, standard analysis can achieve miRNA identification and prediction, miRNA target gene prediction, annotation and expression analysis. Advanced analysis enables customized miRNA search and extraction, Venn diagram generation, miRNA and target gene network building.
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NGS-WGS (Illumina/BGI)
NGS-WGS is an whole genome re-sequencing analysis platform, which is developed on base of rich experience in Biomarker Technologies. This ease-to-use platform allows quick submission of an integrated analysis workflow by simply setting a few basic parameter, which fits for DNA sequencing data generated from both Illumina platform and BGI sequencing platform. This platform is deployed on high performance computing server, which empowers highly efficient data analysis in very limited time. Personalized data mining is available on base of standard analysis, including mutated gene query, PCR primer design, etc.
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mRNA(Reference)
Transcriptome is the link between genomic genetic information and the proteome of biological function. Transcriptional level regulation is the most important and the most widely studied regulation mode of organisms. Transcriptome sequencing can sequence the transcriptome at any point in time or under any condition, with a resolution accurate to a single nucleotide.It can dynamically reflect the level of gene transcription, simultaneously identify and quantify rare and normal transcripts, and provide the structural information of sample specific transcripts.
At present, transcriptome sequencing technology has been widely used in agronomy, medicine and other research fields, including animal and plant development regulation, environmental adaptation, immune interaction, gene localization, species genetic evolution and tumor and genetic disease detection.
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Metagenomics (NGS)
This analysis platform is designed for shotgun metagenomic data analysis on base of years of experience. It consists integrated workflow containing various of commonly needed metagenomics analyses including data processing, species-level studies, gene function-level studies, metagenome binning, etc. In addition, customized data mining tools are available upon standard analysis workflow, including gene and species query, parameter setting, personalized figure generating, etc.
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LncRNA
Long non-coding RNAs (lncRNA) are a type of transcripts with length longer than 200 nt, which are unable to code proteins. Accumulative evidence suggests that most of lncRNAs are very likely to be functional. High-throughput sequencing technologies and bioinformatic analyzing tools empower us to reveal lncRNA sequences and positioning information more efficiently and lead us to discover lncRNAs with crucial regulatory functions. BMKCloud is proud to provide our customers lncRNA sequencing analysis platform to achieve fast, reliable and flexible lncRNA analysis.
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GWAS
Genome-wide association study (GWAS) aims at identifying genetic variants (genotype) that associated with specific traits (phenotype). GWA studies investigates genetic markers cross whole genome of large number of individuals and predicts genotype-phenotype associations by statistical analysis at population level. Whole-genome resequencing can potentially discover all genetic variants. Coupling with phenotypic data, GWAS can be processed to identify phenotype related SNPs, QTLs and candidate genes, which strongly backs up modern animal/plant breeding. SLAF is a self-developed simplified genome sequencing strategy, which discovers genome-wide distributed markers, SNP. These SNPs, as molecular genetic markers, can be processed for association studies with targeted traits. It is a cost-effective strategy in identifying complex traits associated genetic variations.
