Data Analysis
Data analysis is crucial for making sense of complex biological data, allowing professionals to draw meaningful conclusions and make important discoveries. Our bioinformatics services offer comprehensive data analysis solutions, including data preprocessing, statistical analysis, and data visualization. By utilizing our expertise in data analysis, you can streamline your business process, uncover hidden insights, and make data-driven decisions that can have a significant impact on your business outcomes. Our team of experienced bioinformaticians will work closely with you to ensure that your data is analysed accurately and efficiently, providing you with actionable insights that can help accelerate your business.
Data exploration is the crucial step of comprehensively analyzing and summarizing a dataset to gain a deeper understanding of its features and relationships. It includes visually and statistically examining the data to identify patterns, trends, anomalies, and outliers. Our services cover various areas of data exploration, such as visualization, summary statistics, data cleaning, and feature engineering. By leveraging these techniques, we extract valuable biological insights from your sequencing data sets. We help you explore hidden patterns, correlations, and networks to unveil new perspectives and inform the development of hypotheses and appropriate analytical methods.
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The human genome contains billions of nucleotides, which give rise to tens of thousands of protein coding genes and millions of proteins due to alternative splicing and post-translational and epigenomic modifications. Understanding the complex regulatory landscape and genotype-to-phenotype relationships requires integrating data from multiple omics layers. However, this poses challenges such as data harmonization, computational burden, and careful integration method design. As experts in multi-omics integration, we offer solutions for your project.
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Pipeline development is a crucial step in maximizing the value of your sequencing data. Our services cover various areas of pipeline development, such as quality control, alignment, variant calling, and annotation. By leveraging these techniques, we ensure that your data is analyzed comprehensively and efficiently, providing you with accurate and reliable results. We help you explore hidden patterns, correlations, and networks to unveil new perspectives and inform the development of hypotheses and appropriate analytical methods.
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A bioinformatic pipeline is a computational framework consisting of a set of sequential steps, which usually involve data processing, data analysis, and data visualization. It streamlines the analysis of large-scale datasets, such as genomic or transcriptomic data, by automating the time-consuming and repetitive tasks involved. Additionally, it enables the integration and comparison of various datasets and results, making it easier to extract meaningful insights.
We recognize that specialized sequencing approaches may necessitate customized analysis pipelines. Our team has extensive expertise in designing and developing pipelines tailored to the specific requirements of each project. Whether it’s RNA-sequencing, DNA-sequencing, or epigenomic sequencing approaches, our technical and biological proficiency ensures that your project is analyzed using the most effective methods.
Our team collaborates closely with you to ensure the most optimal analysis method, from testing and development to bioinformatic pipeline optimization. Whether you need assistance with data analysis, data management, or guidance on the most suitable bioinformatic tools, we are here to support you at every step of the way.
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Sequencing databases are indispensable resources for life scientists, providing a wealth of genetic and transcriptomic information that is essential for advancing our understanding of biology and disease. These databases store vast amounts of data from a variety of sources, including individual organisms, populations, and entire ecosystems. With the help of sophisticated algorithms and tools, researchers can extract valuable insights and discover new patterns and relationships that can inform the development of new treatments and therapies.
In addition to serving as repositories for genomic and transcriptomic data, sequencing databases also play a critical role in enabling the sharing and collaboration of data across different research groups and institutions. By promoting data openness and accessibility, these databases help accelerate scientific progress and facilitate the development of more accurate and comprehensive models of biological systems.
We are committed to staying up-to-date with the latest advances in sequencing technology and bioinformatics, and we offer a wide range of services to help our clients access and analyze data from sequencing databases. Whether you need help with data mining, data integration, or data visualization, our team of experts is here to assist you at every stage of your research project.
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Genome assembly and annotation
Genome annotation is a vital process that allows the identification of functional elements, such as…
Gene Activity
Gene activity refers to the level of transcription and translation of genetic information into functional…
Variant Calling
Variant Calling is a crucial step in identifying genetic variations that may contribute to diseases…
Custom Software Solutions
In the field of bioinformatics, the sheer volume and complexity of data can be overwhelming….
Data management and visualization
Data management and visualization are critical aspects of bioinformatics research that can often be overwhelming…
Spatial Transcriptomics (ST)
Spatial transcriptomics analysis is a cutting-edge and innovative approach for exploring the molecular architecture and…
Single cell RNA-sequencing (scRNA)
Single cell RNA-sequencing (scRNA-seq) is revolutionizing our comprehension of essential biological processes like cell-related pathologies,…