A Genome Browser is a software tool designed for visualizing and analyzing genomic data. It provides an interactive platform for exploring and querying genetic information within a genome, including genes, regulatory elements, and chromosomal structures.

Liftover is a commonly used tool for converting genomic coordinates from one genome to another. It allows the conversion of coordinates from one genome to another, even across different versions. This tool assists researchers in performing genomic annotation, comparative genomics studies, and disease research by facilitating coordinate conversions on different genome versions.

Variant Effect Predictor (VEP) is an advanced and versatile tool used for variant annotation and analysis. It provides users with comprehensive and detailed information about genetic variants, including variant types, functional annotations, impact on genes, and variant frequencies. VEP integrates various bioinformatics databases and algorithms to predict the potential effects of variants on protein structure and function, such as pathogenicity, stability, and domain alterations. By utilizing VEP, researchers can gain valuable insights into the biological significance and disease relevance of genetic variations. Additionally, VEP can be seamlessly integrated with other tools and databases, enhancing the analysis and interpretation of genomic data. Overall, VEP serves as an essential resource for researchers and clinicians, facilitating the understanding and application of genetic variation in biomedical research and clinical practice.

BLAST stands for Basic Local Alignment Search Tool. The BLAST service of CNGB is developed with NCBI BLAST+ 2.6.0 standalone version, downloaded from NCBI FTP server, providing sequences searching on public data of CNGB applications, BGI projects and external data sources. For example, BLAST integrates datasets from the Transcriptomes of 1,000 Plants (ONEKP), datasets for thousands of Transcriptomes of 1,000 Fishes (FISHT1K), NCBI's nr, nt databases, etc. The word, BLAST, in the name "the BLAST service of CNGB", is standing for kinds of sequence searching method. More types of sequence searching algorithms will be integrated in the future.

The primary function of the Primer is primer design. In PCR experiments, primers are a critical component that binds to the template DNA and initiates the amplification of the DNA. Primer can automatically design primers with good specificity based on the input DNA sequence, which is convenient for users to perform PCR amplification.

Translation is an essential step in gene expression that directly shapes the proteome, contributing to cellular structure, function, and activity in all organisms. A much better tell-tale for gene translation is the translatome consisting of ribosome-protected footprints, which indicate mRNAs being in the process of translation. Although several techniques are developed specifically for the acquisition of the translatome information, ribosome profiling (Ribo-Seq) in comparison to other techniques (eg. Polysomal profiling) has unique advantages that enables genome-wide investigation in vivo of translation with subcodon resolution. The increasing application of Ribo-Seq in recent years has achieved remarkable progress toward understanding the composition, regulation and mechanism of translation. This benefits from not only the awesome power of Ribo-Seq but also an extensive range of computational resources available for ribosome profiling. At present, however, the tedious process of data processing and diversity of tool candidates raise the bar for the translatome research. Therefore, in order to facilitate users enjoying greater benefits from Ribo-Seq, we here provide a cloud-based translatome workbench to allow effortless analysis of Ribo-Seq data in an automatic manner for experienced bioinformaticians, as well for wet-lab biologists with minimum bioinformatics knowledge.

Free and Safe Next-Generation Genotype Imputation Service. Genotype imputation is a key component of genetic association studies, where it increases power, facilitates meta-analysis, and aids interpretation of signals. Genotype imputation is computationally demanding and, with current tools, typically requires access to a high-performance computing cluster and to a reference panel of sequenced genomes.

The H. pylori typing tool (HpTT) is a novel genomic epidemiological tool that can achieve high-resolution analysis of genomic typing and visualizing simultaneously, providing insights into the genetic population structure, evolution analysis, and epidemiological surveillance of H. pylori. HpTT is a genomic typing tool based on SNP (single nucleotide polymorphism) of bacterial pathogens, which can facilitate not only H. pylori isolates, but also other pathogens that highly related to the public health.

Gene Set Enrichment Analysis (GSEA) is a bioinformatics tool used for analyzing gene expression data, aiming to reveal the functions and biological significance of whole sets of genes under different experimental conditions. The basic principle of GSEA is to rank genes according to their expression levels under different experimental conditions, and then detect the enrichment level of the whole gene set in specific biological processes or pathways through enrichment analysis methods. The advantage of GSEA is that it can detect the enrichment status of the entire gene set, rather than just focusing on the differential expression of individual genes.