Bioinformatics | Omics

Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to process and analyze large-scale biological data. With the rapid development of high-throughput technologies such as genomics, transcriptomics, proteomics, and metabolomics, the volume and complexity of biological data have reached unprecedented levels. Bioinformatics utilizes sophisticated algorithms and statistical methods to extract valuable information from these data, unveiling the complexity and functions of biological systems.

 



 

MtoZ Biolabs offers comprehensive bioinformatics analysis services, combining advanced computing platforms and extensive experience in biological data analysis to provide clients with efficient and accurate bioinformatics solutions, supporting scientific research and applications.

 

Services at MtoZ Biolabs

1. Genomics Analysis

Genome Assembly

Assemble high-throughput sequencing data to construct complete genome sequences.

Gene Annotation

Identify and annotate functional elements such as genes, non-coding RNAs, and transcription factor binding sites in the genome.

Variant Detection

Detect genetic variations such as SNPs, indels, and structural variations in the genome.

 

2. Transcriptomics Analysis

Gene Expression Analysis

Process RNA-Seq data to quantify gene expression levels and identify differentially expressed genes.

Splicing Variant Analysis

Detect and analyze alternative splicing events to uncover post-transcriptional regulatory mechanisms.

Transcriptome Assembly and Annotation

Assemble and annotate transcriptome data to identify new transcripts and genes.

 

3. Proteomics Analysis

Protein Identification and Quantification

Use mass spectrometry data to identify and quantify proteins in samples, analyzing protein expression levels and changes.

Protein Interaction Network Analysis

Construct and analyze protein interaction networks to reveal functional relationships between proteins.

Protein Function Annotation

Annotate identified proteins to interpret their biological significance.

 

4. Metabolomics Analysis

Metabolite Identification and Quantification

Process metabolite data to identify and quantify metabolites in samples.

Metabolic Pathway Analysis

Construct and analyze metabolic pathways to uncover relationships and regulatory mechanisms between metabolites.

Integrative Metabolomics Data Analysis

Integrate multi-omics data for systems biology analysis.

 

Service Advantages 

 



 

Applications

Basic Research: Use bioinformatics analysis to uncover the functions and interactions of genes, proteins, and metabolites, advancing fundamental biological research.

 

Disease Research: Explore molecular disease mechanisms through multi-omics data analysis, discovering potential biomarkers and therapeutic targets.

 

Drug Development: Identify drug targets and study drug mechanisms using bioinformatics, accelerating the drug development process.

 

Agriculture and Environmental Science: Improve crop varieties and study environmental impacts on biological systems through genomic and metabolomic analysis.