Results for "Bacteria"
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This tutorial will serve as an example of how to use free and open-source genome assembly and secondary scaffolding tools to generate high quality assemblies of bacterial sequence data. The bacterial sample used in this tutorial will be referred to simply as “Species” s...Tags: Bioinformatics, Analysis, Assembly, Genome, Annotation, Prokaryotes, Bacteria
2546 days ago
REGEN: Ancestral Genome Reconstruction for Bacteria
REGEN infers evolutionary events, including gene creation and deletion and replicon fission and fusion. The reconstruction can be performed by either a maximum parsimony or a maximum likelihood method. Gene content reconstruction is based on the concept of neighboring gene pairs. REGEN was design...Tags: REGEN, Ancestral, Genome, Reconstruction, Bacteria
2241 days ago
CGView - Circular Genome Viewer
CGView is a Java package for generating high quality, zoomable maps of circular genomes. Its primary purpose is to serve as a component of sequence annotation pipelines, as a means of generating visual output suitable for the web. Feature information and rendering options are supplied to the prog...Tags: CGView, Circular, Genome, Viewer, Bacteria
2135 days ago
KEGG Mapper – Reconstruct Pathway
Reconstruct Pathway is a KEGG PATHWAY mapping tool that assists genome and metagenome annotations. The input data is a single gene list (for a single organism) or multiple gene lists (for multiple organisms) annotated with KEGG Orthology (KO) identifiers or K numbers. Each line of the gene l...Tags: KEGG, Mapper, Reconstruct, Pathway, Bacteria
1960 days ago
- KOALA (KEGG Orthology And Links Annotation) is KEGG's internal annotation tool for K number assignment of KEGG GENES using SSEARCH computation. BlastKOALA and GhostKOALA assign K numbers to the user's sequence data by BLAST and GHOSTX searches, respectively, against ...
Tags: KOALA, KEGG, annotation, tool, assignment, KEGG, GENES, SSEARCH, computation, Bacteria, Blast
1960 days ago
SiLiX: implements an ultra-efficient algorithm for the clustering of homologous sequences
The software package SiLiX implements an ultra-efficient algorithm for the clustering of homologous sequences, based on single transitive links (single linkage) with alignment coverage constraints. SiLiX adopts a graph-theoretical framework to interpret similarity pairs as edges of a networ...Tags: SiLiX, ultra-efficient, algorithm, clustering, homologous, sequences, Bacteria
1960 days ago
