Genetic variation is fundamental to the evolution and adaptation of all species and is what makes each of us unique. Variant calling is the computational process of identifying and analyzing genetic variations such as single nucleotide polymorphisms (SNPs) and small insertions and deletions from sequencing data.
As a crucial component in many NGS data analysis workflows, accurate variant calling lays the foundation for downstream analysis and interpretation. Choosing the right tools and integrating them into a comprehensive, efficient computational workflow requires significant investment in expertise and processing resources. Our expert bioinformatics team has developed automated workflows that utilize state-of-the-art NGS read alignment and variant calling tools. We leverage cloud computing for processing data generated at scale, to maximize the reliability and speed of our analysis pipelines.
Our standard variant analysis workflow consists of the following steps, and we can provide individualized options tailored to your requirements:
- Quality assessment of raw sequencing data
- Adapter removal and trimming reads by base quality
- Alignment of the trimmed reads to reference sequence/genome
- Variant calling and joint genotyping
- Quality control to evaluate key metrics
Accurate variant calling requires specialized knowledge and skills in bioinformatics to develop a reliable pipeline for each application. Our experienced bioinformatics experts ensure that the work is performed accurately and efficiently.
Using our expert variant analysis solution can be more cost-effective than building in-house capabilities, eliminating the need to invest in expensive software and hardware, and the costs associated with hiring and training staff.
Our automated, high-throughput solutions using state-of-the-art cloud computing save time and resources, increasing the speed of your research.
Our services can accommodate data sets at any scale, making them ideal for high-throughput sequencing projects.
Access to latest advancements
We have the resources to invest in the latest algorithms and software, providing access to cutting-edge solutions to support your research.
Variant analysis can be implemented in a wide range of applications, including:
- Population, quantitative, and evolutionary genetics
- Plant and animal identification and breeding
- Systematics and taxonomy
- Early diagnosis, prevention and treatment of human diseases
- Identifying individuals and populations (ancestry and kinship analyses)
- Degraded, ancient, and forensic DNA samples
We pride ourselves on our professionalism, which goes beyond technical expertise. We have a team of highly skilled bioinformatics experts with years of experience in NGS data analysis, ensuring the accuracy and reliability of your results and we emphasize clear and regular communication, proper planning, and execution to ensure the best possible collaboration and experience for our clients. We offer a comprehensive suite of bioinformatics services and strive to be flexible by providing personalized service tailored to your specific needs and preference. We use state-of-the-art software and computing resources to ensure that your NGS data is processed quickly and accurately. Additionally, our commitment to excellent customer service and support is unwavering throughout the entire process. We are always available to answer questions, provide guidance, and work closely with our clients to ensure the success of their projects.
The pricing of our bioinformatics services depends on the specific requirements of your project. Once you contact us, we will provide no-charge project consultation upfront to assess your needs and determine a detailed project plan, after which we can quickly provide you with a detailed quote.
The custom bioinformatics service process begins with a consultation to understand your research goals and project requirements. Our team of experts then provides tailored solutions, including customized data analysis pipelines, software development, and consulting services, to meet your specific needs. The final results are delivered in a timely and reliable manner, providing you with actionable insights to support your research.
The timeline for results will depend on the complexity and scale of the project. As our clients often work under tight timelines, we are adept at expediting processes in the most efficient manner possible. Our team of experts will work with you to establish a timeline that meets your needs and ensures timely delivery of results.
Our team of experts uses state-of-the-art algorithms and computational methods to deliver high-quality, reliable results. During our upfront consultation, our goal is to find the most appropriate pipeline match for your research goals and project configuration. We perform quality control checks and validation throughout the bioinformatics analysis process to ensure that our results are accurate and trustworthy. We are available for support and consultation prior to, during, and after a project to answer any technical questions.
Our standard deliverable consists of a comprehensive project report that outlines our methodology, workflow, tables, and figures. We can also tailor our deliverables to your preferences, such as intermediate files, customizing figures and tables.
Likely yes. Our team of scientists at Daicel Arbor Biosciences come from a range of scientific backgrounds and possess expertise in diverse applications, data analysis workflows and bioinformatics tools. It is likely that our team members have experience working with datasets and analyses that are comparable to yours, and they have a proven track record of effectively handling projects applicable to a diverse range of research fields, such as agrigenomics, non-model organism genomics, functional genomics, phylogenetics/phylogenomics, genotyping, degraded or ancient DNA, and more.
No, you do not need to have any bioinformatics expertise to work with us. We will have a consultation to understand your requirements and plan the project accordingly. Your final project report will include comprehensive methodological descriptions in sufficient detail to populate the methods section of a peer-reviewed publication.
By default, we provide a storage term of three months for project deliverables. However, we do offer the option of longer-term storage upon request, subject to an additional fee.