Plant Bioinformatics Data Visualization

The advent of the post-genomic era has led to the rapid growth of large amounts of nucleic acid and protein sequences, gene and protein structure, function data, and biological literature data. The effective mining of the necessary biological information from the huge amount of data has become a bottleneck in today's biological research. With traditional processing methods, sorting out the intricate and complex correlation information in a massive amount of raw data is difficult. The data visualization will enable researchers to obtain effective information.

Lifeasible has senior bioinformatics experts and team members with rich practical experience in database mining, bioinformatics analysis, and other fields, familiar with various bioinformatics analysis software programming integration, capable of deep mining and analysis of massive sequencing data and its related databases. We provide comprehensive, efficient, and accurate plant bioinformatics data visualization solutions.

About Plant Bioinformatics Data Visualization

Data visualization for bioinformatics is the representation of large amounts of data in a graphical to help researchers obtain analysis presented visually. The purpose of scientific visualization is to understand, analyze and interpret data. We believe that bioinformatic visualization can be divided into 3 levels: molecular modeling-molecular, information display-information correlation display.

What We Offer

Scientific visualization techniques are a critical tool for conducting biological data mining. The larger the volume and complexity of biological data, the greater the role that visualization plays in mining biologically valid information. With the help of interactive visualization, we offer you a range of services, including but not limited to the following.

• Plant Metagenomic Sequencing

We use long-read technology to determine the full range of microbial genetic information in a given environment.

• Cytoscape: Network Analysis and Visualization
• Visualization of transcription factor targeting and regulation networks
• Gene co-expression network visualization
• Protein Interaction Network Visualization
• miRNA targeting and regulation network visualization
• lincRiNA-mRNA-miRNA visualization
• GO Enrichment Analysis-BiNGO

• Gene Family Analysis Visualization
• motif analysis visualization
• Chromosome localization visualization
• Gene structure visualization
• Evolutionary tree visualization
• Visualization of multiple sequence comparisons
• k-means: gene expression clustering analysis
• WGCNA: gene co-expression network construction

• Drawing in Programming Language
• Point and line drawing, box plotting
• Pie and violin charts
• ggplot-advanced bar chart
• ggplot-advanced box plot
• Veen plotting
• Cluster heat map plotting

• Circos: Genome Circle Mapping

Why Is Data Visualization Important?

• Visualization techniques allow for a clear presentation of all kinds of linked information.
• The larger and more complex the volume of biological data, the better the visualization is at parsing the required information.
• Given the way the human brain processes information, the use of charts or graphs to visualize large amounts of complex data allows you to access relevant information quickly and easily.

Applications

• Genetics
• Genomics
• Proteomics
• Biosystematics
• Phylogenetics
• Metabolomics
• Comparative genomics, etc.

Our Features

Lifeasible aims to provide high-quality, customizable solutions to visualize plant bioinformatics data. We are dedicated to the graphical representation of all relevant biological data of plants to assist you in your research in plant biology. Please feel free to contact us if you have questions, interest, or an interest in collaboration.