4 results about "Bioinformatics software" patented technology

This invention discloses methanogenic lyases with the same protein family annotation as PeiR lyases and their applications. These enzymes are obtained through homology screening based on the known characteristics of PeiR lyases targeting peptide bonds in the methanogenic cell wall, using the Pfam protein family database annotation. PeiR lyase proteins participate in the biological process of hydrolyzing archaea cell walls, effectively killing methanogens and reducing methane production. Proteins homologous to this protein have potential methane-reducing potential. This invention integrates rumen microbial metagenomic sequencing data, uses a series of bioinformatics software to screen methanogenic viral proteins, and combines Pfam functional domain annotation for homology analysis, ultimately identifying a series of lyases. These lyases were successfully expressed in a prokaryotic expression system, and in vitro gas production experiments also showed that the crude enzyme solution significantly reduced methane production.

This invention discloses a methanogenic lyase homologous to PeiR lyase and its applications. The PeiR lyase protein, targeting the peptide bonds of the methanogenic cell wall, participates in the biological process of hydrolyzing the archaea cell wall, effectively killing methanogens and reducing methane production. Proteins homologous to this lyase possess potential methane-reducing potential. This invention utilizes a series of bioinformatics software to identify protein sequences encoded by methanogenic viruses from a large amount of rumen microbial virome sequencing data, and analyzes the structural homology between these proteins and PeiR. Ultimately, this invention successfully obtained a series of methanogenic lyases homologous to PeiR. To achieve the expression of these lyases, this invention designed multiple primers to synthesize the target sequences and successfully expressed them in a prokaryotic expression system. In vitro gas production experiments with the crude enzyme solution showed that these lyases are effective in reducing methane production.

This invention provides a Slurm-based bioinformatics workflow management system. The module management subsystem stores bioinformatics software commands in a database according to a predetermined format, defining them as modules. These modules can be combined into new modules through serialization or network connections, enabling the rapid construction of complex workflows. The task submission system converts these modules into corresponding task scripts. These scripts are generated in a nested manner, consisting of a main job, sub-jobs, and the smallest job unit. The scripts conform to the Slurm job scheduling system specifications and include a progress report. This workflow management system, combined with front-end and back-end technologies, enables visual interaction, improves the management and utilization efficiency of bioinformatics software commands, and promotes the rapid development of life sciences.

The invention discloses a human haplogroup hierarchical tracking and macro haplogroup normalization method, and relates to the field of group genetics and bioinformatics software methods. Comprising the following steps: establishing an adjacency list data structure based on an authoritative phylogenetic tree; constructing a synonym normalization dictionary for processing the heterogeneity problem of haplogroup naming; a hierarchical path backtracking algorithm is realized, backtracking is performed from a target haplogroup node to a root node based on a depth-first search principle, a complete evolutionary path is generated, the hierarchical path backtracking algorithm comprises a path integrity verification mechanism, a broken path or a circular reference error is automatically detected and reported, and the biological rationality of the generated path is ensured; a path output interface is provided, and a positive-sequence path representation mode and a negative-sequence path representation mode are supported. The method has the advantages of being high in standardization degree, high in automation level, high in reproducibility, good in universality and good in user experience.