NGDC Cloud

Functional annotation of mutation sites, displaying changes in the gene, code, and amino acids where the mutation site is located, and the degree of impact on gene function.

Construct a monolithic network using the Minimum Tree Graph based Monomorphic Network Construction Method (McAN).

The original data of the second generation sequencing were spliced, and the COVID-19 sequences contained in the sample assembly results were detected.

Constructing a phylogenetic tree using maximum likelihood method

FluProt predicts the host tropism (Human, Avian, or Swine) of influenza A viruses using prototype learning. Unlike classification-based methods, it computes cosine distances to three learnable host prototypes — capturing the continuous nature of cross-species adaptation and providing a quantitative metric for zoonotic risk assessment.

Gene annotation of COVID-19 sequence.

Calculate the most closely related sequence according to COVID-19 genome or mutation data

McAN: a novel computational algorithm and platform for constructing and visualizing haplotype networks

Functional annotation of mutation sites, displaying changes in the gene, code, and amino acids where the mutation site is located, and the degree of impact on gene function.

Detecting SNP/indel mutation sites; Functional annotation of variant sites; Annotate 190 gene machine protein products of monkeypox genome;

Use Pangolin software to perform Pango lineage prediction on the sequence.

Use FastQC and MultiQC programs to evaluate the sequence quality of files in FASTQ and BAM formats.

Comprehensive analysis of viral genome

Analysing pairwise distance distribution and classification of viral genomes within the family Viridae and taxonomic prediction of new viral sequences