Bioinformatics Analysis Service

We primarily analyze bulk RNA-seq data (single-end or paired-end) from Illumina platforms. We can also work with Ion Torrent, PacBio Iso-Seq, and targeted transcriptome data upon scoping. Please contact us with your specific platform and data volume to confirm feasibility.

Yes. Our services are fully customizable. We design analysis plans based on your hypothesis, sample size, and desired endpoints. Examples include specialized network analysis, machine learning classifiers, or integrative multi-omics pipelines. The scope is agreed during the initial consultation.

We treat all client data as confidential. Analysis is conducted on secure infrastructure, and you retain full ownership of both raw and processed data. We do not claim authorship or intellectual property rights. Data sharing and publication guidelines are defined in the service agreement.

Yes. Many clients use our analysis results for grant submissions and publications. We provide detailed methods sections and can assist with figure preparation and statistical descriptions. Our team is experienced in writing bioinformatics sections for diverse funding agencies.

Our bioinformaticians have extensive experience with pan-cancer datasets (TCGA, GTEx, CPTAC) and have published on biomarker discovery and immune microenvironment analysis. We apply similar rigorous pipelines to your specific project data.

Batch effects are identified using PCA and corrected with tools like ComBat or limma's removeBatchEffect. We also incorporate covariates (e.g., age, sex, processing batch) into statistical models as needed. The approach is tailored to your study design.

While there is no strict minimum, statistical power increases with sample size. We can analyze as few as 2–3 replicates per condition, but results should be interpreted cautiously. For small datasets, we offer specialized pipelines with moderated statistics (e.g., limma) to improve reliability.