Petroleum microbiology is a branch of microbiology dedicated to the study of microorganisms that can metabolize or alter crude oil or refined petroleum products, including widely distributed bacteria, methanogenic bacteria, and some fungi. Interest in this field is growing due to the increasing role of bioremediation in oil spill cleanup. As the most precise, high-resolution technique to recognize microorganisms, Whole Genome Sequencing (WGS) has been widely accepted. In comparison to more conventional ways, WGS can help you determine references of microbial species that can be utilized in the petroleum industry and can contribute to a better environment.
CD Genomics has been offering the reliable and inexpensive service of whole-genome sequencing. In order to obtain whole-genome de novo assemblies and re-sequencing for all categories of microorganisms, we integrate both Illumina for short reads and PacBio/Nanopore for long read formats.Request a Quote
Whole Genome Sequencing (WGS) provides actual DNA sequence data for an organism's whole genome It is focused on next-generation sequencing (NGS), also identified as high sequencing, which is an innovation for vastly parallel DNA sequencing that enables specimens and processes to be analyzed at a stage that has never been feasible before. NGS systems can more cost-effectively sequence huge specimens than conventional ways, and produce more comprehensive genomic information in the procedure.
DNA biomarkers such as single nucleotide polymorphism (SNPs), insertions and deletions (indels), structure variations (SVs), copy number variations (CNVs), and other high precision genetic modifications of the sequenced organisms can be identified by whole-genome resequencing. It also offers an unparalleled chance to characterize a community's polymorphic versions, which concisely untangle the underlying frameworks of origin, advancement, development, and transformation of species.It is also possible to evaluate complicated bacterial/fungal mixed communities through WGS. Using so-called barcoding areas in the microbial DNA, our microbial screening services allow an overview into the microflora of petroleum specimens thus classifying the genus or species. Our metagenomics service looks at the total DNA of a complicated specimen involving combined communities, enabling strains and subspecies to be identified. Even non-cultivable microorganisms are included and identified in both methodologies.
In order to supply quick and precise complete genome sequencing and bioinformatics assessment for any species, CD Genomics incorporates both Illumina HiSeq, PacBio, and Nanopore processes. To guarantee confident and unbiased outcomes, our strongly skilled professional team performs quality monitoring following every process. The overall template is illustrated below for whole-genome sequencing.
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Next-generation sequencing (NGS), whole-genome sequencing, PacBio SMRT sequencing, Nanopore sequencin
Illumina HiSeq/MiSeq, PacBio SMRT systems, Nanopore MinION systems, Real-time qPCR, etc.
We offer excellent selection of customized bioinformatics analysis for petroleum microbial testing, including strain determination, genome annotation, and phylogenetic analysis.
|Read quality control||Eliminate sequence info and technical sequences of bad value|
|Reference strain determination||Reference for comparing reads for sequencing|
|Read mapping to the reference strain||Sequencing Align reads to reference genomes that enable gaps and discrepancy|
|Single-nucleotide polymorphism (SNP) and small insertion or deletion||Utilizes sequencing plotting to recognize SNPs and indels in the reference sequence|
|De novo genome assembly||Quality-controlled sequencing reads, error-corrected reads, and iteratively conducts the exact setup, reducing the number of inconsistencies, and small indels.|
|Genome annotation||Distinguish genes that are protein-coding, tRNAs and rRNAs|
|Phylogenetic tree construction||Offer overview into the association of samples|
|Phylogenetic analysis||Identify a selection signature on individual genes and give information on the evolutionary factors that behaves on the genes of the sequenced samples.|