Note: This page was prepared for academic customers. Clients from the biotech / pharmaceutical / therapeutic / molecular diagnosis industries, please visit this web site instead.
We offer bioinformatics and data modeling services to researchers in academic institutions, biotech and pharmaceutical industries, clinical facilities, and government agencies. In addition to providing guidance and support in the design and implementation of bioinformatics-heavy research projects, our bioinformatics team also directly carries out bioinformatics projects and bioinformatics-heavy components of research projects for our clients. Our services are utilized by researchers across a wide range of domains and organisms, including medical research using human samples or involving human patients, animal and plant studies using model or non-model organisms, and research projects focused on microbial and viral species.
We offer a wide range of bioinformatics and modeling services, including but not limited to: processing, analyzing, and interpreting high-throughput biological and medical data, with a focus on next-generation sequencing (NGS) data, genomics, transcriptomics, proteomics, metabolomics, and other omics data; statistical data analysis; data integration for diverse biomedical and other data types, such as for identifying causal relationships or other hidden information between measured variables; statistical modeling, machine learning, and deep learning (or AI) model development and applications; metagenomics, ecology, phylogenetics, population genetics, and other analyses related to evolutionary biology; data mining; customized and advanced analysis method development; specific data structure and algorithm development; informatics; database development and maintenance; software solutions; and IT and infrastructure solutions.
Our team has experience handling NGS data from all common platforms, including Illumina, Ion Torrent, 454, SOLiD, PacBio, and Oxford Nanopore (ONT), for a variety of NGS applications, such as whole-genome sequencing (using mapping-based or assembly-based approaches), exome and other targeted sequencing, RNA-seq (with mapping-based or de novo assembly-based analysis), ChIP-seq, ATAC-seq, CUT&RUN, CUT&Tag, HiChip, PLAC-seq, single-cell applications (such as scRNA-seq, scATAC-seq, and Multiome from 10X), as well as various sequencing-based DNA methylation applications. We also have experience in less frequently used NGS applications, such as DNase-seq, CLIP-seq, 4C-seq, Hi-C, ChIA-PET, and immunosequencing, and we can assist with developing novel NGS applications.
In addition, we handle microarray data from all major array platforms (Affymetrix, Agilent, Illumina, and NimbleGen) for various applications, including gene expression profiling, DNA methylation analysis, genotyping, and others.
We have extensive experience in developing AI/deep learning/deep neural network-based models in biological/biomedical domains. You can read more about our work in this area in our blog series (available here).
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