Overview of the prediction method for SMB gene clusters. (a

Download scientific diagram | Overview of the prediction method for SMB gene clusters. (a) Broken lines represent homologous gene pairs between two genomes. Each pair of 'x i1 '-'y j1 ', 'x i2 '-'y j2 ', 'x i4 '-'y j4 ', 'x i5 '-'y j8 ', 'x i6 '-'y j5 ' and 'x i8 '-'x j7 ' represents a homolog. The x i and y j represent genes in the first and the second genomes, respectively. (b) The genes were aligned in the genome using the Smith-Waterman algorithm (Param2 ¼ 21). Pairs of contiguous genes from 'x i1 ' to 'x i8 ' in genome 1 and from 'y j1 ' to 'y j7 ' represent an example identified as a seed for predicting a gene cluster (R 0 or other seed regions). (c) The seed was extended until the prescribed length (Param3 ¼ 35). The symbols l x and l y represent the numbers of genes added to the seed region of the first and the second genomes, respectively. X and Y represent extended clusters in the first and the second genomes, respectively. (d) The boundaries were corrected (Param4 ¼ 21), and a pair of candidate gene clusters, 'x i1 ' through 'x i8 ' and 'y j1 ' through 'y j8 ', was identified. The symbols i begin and i end represent the locations of the genes at the beginning and end, respectively, of the cluster in the first genome. The symbols j begin and j end represent the corresponding gene locations in the second genome. The CB value is the sum of the maximum scores for the upstream and the downstream boundaries of a predicted cluster. The integers are indicated as an example for the particular alignment of clusters represented in this figure. (e) Synteny analysis was performed to distinguish the SMB gene cluster from the syntenic block (SB). The SB, a subset of X and Y, represents a set of genes aligned to create a contiguous block of orthologous gene pairs located within the defined distance between neighboring genes (Param5 ¼ 10 kb). The above parameters are examples and not necessarily those used for the actual analyses. from publication: Motif-Independent Prediction of a Secondary Metabolism Gene Cluster Using Comparative Genomics: Application to Sequenced Genomes of Aspergillus and Ten Other Filamentous Fungal Species | Despite their biological importance, a significant number of genes for secondary metabolite biosynthesis (SMB) remain undetected due largely to the fact that they are highly diverse and are not expressed under a variety of cultivation conditions. Several software tools | Secondary Metabolism, Multigene Family and Comparative Genomics | ResearchGate, the professional network for scientists.

A novel necroptosis related gene signature and regulatory network for overall survival prediction in lung adenocarcinoma

Full article: Advances in high-throughput screening approaches for biosurfactants: current trends, bottlenecks and perspectives

Evidence of horizontal gene transfer and regulation of predicted C47

JoF, Free Full-Text

Mutation of SB and NSB genes in relation to the distance from

Decoding mechanism of action and sensitivity to drug candidates from integrated transcriptome and chromatin state

Genes, Free Full-Text

Optimization of deep learning models for the prediction of gene mutations using unsupervised clustering - Chen - 2023 - The Journal of Pathology: Clinical Research - Wiley Online Library

A Machine Learning Bioinformatics Method to Predict Biological Activity from Biosynthetic Gene Clusters

PDF] Accurate prediction of secondary metabolite gene clusters in filamentous fungi

Harnessing model organism genomics to underpin the machine learning-based prediction of essential genes in eukaryotes – Biotechnological implications - ScienceDirect

Overview of the prediction method for SMB gene clusters. (a) Broken

Overview of the prediction method for SMB gene clusters. (a) Broken

Biosynthesis of Novel Statins by Combining Heterologous Genes from Xylaria and Aspergillus

Toward an integrated map of genetic interactions in cancer cells