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streptococcus agalactiae  (ATCC)
90
ATCC streptococcus agalactiae
Streptococcus Agalactiae, supplied by ATCC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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streptococcus agalactiae - by Bioz Stars, 2026-03
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twist1  (Proteintech)
96
Proteintech twist1
Twist1, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 96 stars, based on 1 article reviews
twist1 - by Bioz Stars, 2026-03
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klebsiella species  (DSMZ)
93
DSMZ klebsiella species
Taxonomic identification and genomic features of <t>Klebsiella</t> pneumoniae BCSIR-JUMIID. (a) Heatmap visualization of taxonomic composition based on the classification of sequencing reads using EDGE bioinformatics tools. The heatmap shows that Klebsiella pneumoniae is the most abundant species in the BCSIR-JUMIID sample. (b) Kaptive analysis showing the three main loci: KL150, KL107-D1, and O3b. (c) Phylogenetic tree generated using the TYGS platform reveals that Klebsiella pneumoniae BCSIR-JUMIID is closely related to Klebsiella pneumoniae strains ATCC 13883 and DSM 30104.
Klebsiella Species, supplied by DSMZ, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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klebsiella species - by Bioz Stars, 2026-03
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mbp his6 tev mms2 ube2v2  (Addgene inc)
92
Addgene inc mbp his6 tev mms2 ube2v2
Taxonomic identification and genomic features of <t>Klebsiella</t> pneumoniae BCSIR-JUMIID. (a) Heatmap visualization of taxonomic composition based on the classification of sequencing reads using EDGE bioinformatics tools. The heatmap shows that Klebsiella pneumoniae is the most abundant species in the BCSIR-JUMIID sample. (b) Kaptive analysis showing the three main loci: KL150, KL107-D1, and O3b. (c) Phylogenetic tree generated using the TYGS platform reveals that Klebsiella pneumoniae BCSIR-JUMIID is closely related to Klebsiella pneumoniae strains ATCC 13883 and DSM 30104.
Mbp His6 Tev Mms2 Ube2v2, supplied by Addgene inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mbp his6 tev mms2 ube2v2/product/Addgene inc
Average 92 stars, based on 1 article reviews
mbp his6 tev mms2 ube2v2 - by Bioz Stars, 2026-03
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Image Search Results


Taxonomic identification and genomic features of Klebsiella pneumoniae BCSIR-JUMIID. (a) Heatmap visualization of taxonomic composition based on the classification of sequencing reads using EDGE bioinformatics tools. The heatmap shows that Klebsiella pneumoniae is the most abundant species in the BCSIR-JUMIID sample. (b) Kaptive analysis showing the three main loci: KL150, KL107-D1, and O3b. (c) Phylogenetic tree generated using the TYGS platform reveals that Klebsiella pneumoniae BCSIR-JUMIID is closely related to Klebsiella pneumoniae strains ATCC 13883 and DSM 30104.

Journal: bioRxiv

Article Title: Genomic characterization and functional insights of multidrug-resistant Klebsiella pneumoniae strain BCSIR-JUMIID

doi: 10.1101/2024.11.27.625610

Figure Lengend Snippet: Taxonomic identification and genomic features of Klebsiella pneumoniae BCSIR-JUMIID. (a) Heatmap visualization of taxonomic composition based on the classification of sequencing reads using EDGE bioinformatics tools. The heatmap shows that Klebsiella pneumoniae is the most abundant species in the BCSIR-JUMIID sample. (b) Kaptive analysis showing the three main loci: KL150, KL107-D1, and O3b. (c) Phylogenetic tree generated using the TYGS platform reveals that Klebsiella pneumoniae BCSIR-JUMIID is closely related to Klebsiella pneumoniae strains ATCC 13883 and DSM 30104.

Article Snippet: The evolutionary relationships among various Klebsiella species, including Klebsiella BCSIR-JUMIID, were elucidated using the TYGS platform ( https://tygs.dsmz.de/ ).

Techniques: Sequencing, Generated

Pangenome analysis and genetic relationships of Klebsiella genomes, including Klebsiella pneumoniae BCSIR-JUMIID. (a) Pangenome and core genome distribution of Klebsiella species. (b) Functional classification of the core genome based on COG (Clusters of Orthologous Groups) annotation. (c) Average Nucleotide Identity (ANI) analysis of Klebsiella pneumoniae BCSIR-JUMIID and related strains. BCSIR-JUMIID exhibited the highest ANI similarity (99.60%) with Klebsiella pneumoniae HS11286, confirming its close evolutionary relationship within the K. pneumoniae species complex (d) UpSet plot illustrating the genetic diversity of Klebsiella strains.

Journal: bioRxiv

Article Title: Genomic characterization and functional insights of multidrug-resistant Klebsiella pneumoniae strain BCSIR-JUMIID

doi: 10.1101/2024.11.27.625610

Figure Lengend Snippet: Pangenome analysis and genetic relationships of Klebsiella genomes, including Klebsiella pneumoniae BCSIR-JUMIID. (a) Pangenome and core genome distribution of Klebsiella species. (b) Functional classification of the core genome based on COG (Clusters of Orthologous Groups) annotation. (c) Average Nucleotide Identity (ANI) analysis of Klebsiella pneumoniae BCSIR-JUMIID and related strains. BCSIR-JUMIID exhibited the highest ANI similarity (99.60%) with Klebsiella pneumoniae HS11286, confirming its close evolutionary relationship within the K. pneumoniae species complex (d) UpSet plot illustrating the genetic diversity of Klebsiella strains.

Article Snippet: The evolutionary relationships among various Klebsiella species, including Klebsiella BCSIR-JUMIID, were elucidated using the TYGS platform ( https://tygs.dsmz.de/ ).

Techniques: Functional Assay

Genomic annotation and functional analysis of Klebsiella pneumoniae BCSIR-JUMIID using RASTtk and EDGE Bioinformatics. (a) A circular graphical display of the distribution of the genome annotations by Patric. This includes, from outer to inner rings, the contigs, CDS on the forward strand, CDS on the reverse strand, RNA genes, CDS with homology to known antimicrobial resistance genes, CDS with homology to know virulence factors, GC content and GC skew. The colors of the CDS on the forward and reverse strand indicate the subsystem that these genes belong to (see Subsystems below). (b) Insertion sequence and protein family classification identified by EDGE Bioinformatics. A total of 49 insertion sequences and extensive protein family classifications demonstrate the isolate’s genomic diversity and adaptability. (c) Subsystem analysis of Klebsiella pneumoniae BCSIR-JUMIID using RASTtk.

Journal: bioRxiv

Article Title: Genomic characterization and functional insights of multidrug-resistant Klebsiella pneumoniae strain BCSIR-JUMIID

doi: 10.1101/2024.11.27.625610

Figure Lengend Snippet: Genomic annotation and functional analysis of Klebsiella pneumoniae BCSIR-JUMIID using RASTtk and EDGE Bioinformatics. (a) A circular graphical display of the distribution of the genome annotations by Patric. This includes, from outer to inner rings, the contigs, CDS on the forward strand, CDS on the reverse strand, RNA genes, CDS with homology to known antimicrobial resistance genes, CDS with homology to know virulence factors, GC content and GC skew. The colors of the CDS on the forward and reverse strand indicate the subsystem that these genes belong to (see Subsystems below). (b) Insertion sequence and protein family classification identified by EDGE Bioinformatics. A total of 49 insertion sequences and extensive protein family classifications demonstrate the isolate’s genomic diversity and adaptability. (c) Subsystem analysis of Klebsiella pneumoniae BCSIR-JUMIID using RASTtk.

Article Snippet: The evolutionary relationships among various Klebsiella species, including Klebsiella BCSIR-JUMIID, were elucidated using the TYGS platform ( https://tygs.dsmz.de/ ).

Techniques: Functional Assay, Sequencing

Comprehensive genomic analysis of Klebsiella pneumoniae BCSIR-JUMIID isolate, highlighting mobile genetic elements, virulence factors, antibiotic resistance mechanisms, and heavy metal resistance genes. (a) Genomic island and resistance gene identification IslandViewer 4. (b) Virulence factor analysis of K. pneumoniae BCSIR-JUMIID, identifying genes associated with pilus production, iron acquisition, biofilm formation, lipopolysaccharide (LPS) biosynthesis, and type II secretion system (T2SS). (c) Antibiotic resistance gene profile obtained CARD databases, illustrating resistance to aminoglycosides, fluoroquinolones, beta-lactams, macrolides, sulfonamides, tetracyclines, and polymyxins. (d) Heavy metal resistance gene analysis, identifying genes involved in arsenic, cobalt, zinc, cadmium, copper, and mercury detoxification and efflux, indicating the isolate’s capacity to survive in metal-contaminated environments.

Journal: bioRxiv

Article Title: Genomic characterization and functional insights of multidrug-resistant Klebsiella pneumoniae strain BCSIR-JUMIID

doi: 10.1101/2024.11.27.625610

Figure Lengend Snippet: Comprehensive genomic analysis of Klebsiella pneumoniae BCSIR-JUMIID isolate, highlighting mobile genetic elements, virulence factors, antibiotic resistance mechanisms, and heavy metal resistance genes. (a) Genomic island and resistance gene identification IslandViewer 4. (b) Virulence factor analysis of K. pneumoniae BCSIR-JUMIID, identifying genes associated with pilus production, iron acquisition, biofilm formation, lipopolysaccharide (LPS) biosynthesis, and type II secretion system (T2SS). (c) Antibiotic resistance gene profile obtained CARD databases, illustrating resistance to aminoglycosides, fluoroquinolones, beta-lactams, macrolides, sulfonamides, tetracyclines, and polymyxins. (d) Heavy metal resistance gene analysis, identifying genes involved in arsenic, cobalt, zinc, cadmium, copper, and mercury detoxification and efflux, indicating the isolate’s capacity to survive in metal-contaminated environments.

Article Snippet: The evolutionary relationships among various Klebsiella species, including Klebsiella BCSIR-JUMIID, were elucidated using the TYGS platform ( https://tygs.dsmz.de/ ).

Techniques:

Characterization of mobile genetic elements (MGEs) and associated resistance and virulence factors in Klebsiella pneumoniae BCSIR-JUMIID. (a) mobileOG-db classification of 637 protein families linked to MGEs, categorized into five functional groups: Integration/Excision (IE), Replication/Recombination/Repair (RRR), Phage (P), Stability/Transfer/Defense (STD), and Transfer (T). (b) Bacteriophage analysis using PHASTER revealing a range of prophage regions, including intact, questionable, and incomplete prophages. (c) geNomad analyses showing multiple plasmid replicons harboring antibiotic resistance genes and virulence factors.

Journal: bioRxiv

Article Title: Genomic characterization and functional insights of multidrug-resistant Klebsiella pneumoniae strain BCSIR-JUMIID

doi: 10.1101/2024.11.27.625610

Figure Lengend Snippet: Characterization of mobile genetic elements (MGEs) and associated resistance and virulence factors in Klebsiella pneumoniae BCSIR-JUMIID. (a) mobileOG-db classification of 637 protein families linked to MGEs, categorized into five functional groups: Integration/Excision (IE), Replication/Recombination/Repair (RRR), Phage (P), Stability/Transfer/Defense (STD), and Transfer (T). (b) Bacteriophage analysis using PHASTER revealing a range of prophage regions, including intact, questionable, and incomplete prophages. (c) geNomad analyses showing multiple plasmid replicons harboring antibiotic resistance genes and virulence factors.

Article Snippet: The evolutionary relationships among various Klebsiella species, including Klebsiella BCSIR-JUMIID, were elucidated using the TYGS platform ( https://tygs.dsmz.de/ ).

Techniques: Functional Assay, Plasmid Preparation

Distribution of defense systems across Klebsiella pneumoniae BCSIR-JUMIID. (a) DefenseFinder results highlighting key bacterial defense systems, CRISPR-Cas, restriction-modification (RM) systems, abortive infection systems, BREX, GAPS1, and toxin-antitoxin systems. (b) PADLOC results showing a comprehensive view of the bacterial defense systems identified, including CRISPR arrays, RM systems, the BREX system, and other systems. (c) CRISPRCasFinder results detailing the CRISPR-Cas system analysis. The tool identified multiple CRISPR arrays and Cas protein clusters.

Journal: bioRxiv

Article Title: Genomic characterization and functional insights of multidrug-resistant Klebsiella pneumoniae strain BCSIR-JUMIID

doi: 10.1101/2024.11.27.625610

Figure Lengend Snippet: Distribution of defense systems across Klebsiella pneumoniae BCSIR-JUMIID. (a) DefenseFinder results highlighting key bacterial defense systems, CRISPR-Cas, restriction-modification (RM) systems, abortive infection systems, BREX, GAPS1, and toxin-antitoxin systems. (b) PADLOC results showing a comprehensive view of the bacterial defense systems identified, including CRISPR arrays, RM systems, the BREX system, and other systems. (c) CRISPRCasFinder results detailing the CRISPR-Cas system analysis. The tool identified multiple CRISPR arrays and Cas protein clusters.

Article Snippet: The evolutionary relationships among various Klebsiella species, including Klebsiella BCSIR-JUMIID, were elucidated using the TYGS platform ( https://tygs.dsmz.de/ ).

Techniques: CRISPR, Modification, Infection