Whole genome sequence of Bacillus thuringiensis ATCC 10792 and improved discrimination of Bacillus thuringiensis from Bacillus cereus group based on novel biomarkers

2019 ◽  
Vol 129 ◽  
pp. 284-297
Author(s):  
Ramachandran Chelliah ◽  
Shuai Wei ◽  
Byung-Jae Park ◽  
Momna Rubab ◽  
Eric Banan-Mwine Dalirii ◽  
...  
Keyword(s):  
Bacillus Thuringiensis ◽  
Bacillus Cereus ◽  
Genome Sequence ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Bacillus Cereus Group ◽  
Novel Biomarkers

Whole genome sequence analysis of the mosquitocidal Bacillus thuringiensis LLP29

2020 ◽  
Vol 202 (7) ◽  
pp. 1693-1700
Author(s):  
Weibo Ma ◽  
Huicheng Chen ◽  
Xiaoyan Jiang ◽  
Junxiang Wang ◽  
Ivan Gelbič ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Bacillus Thuringiensis ◽  
Genome Sequence ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Genome Sequence Analysis

scholarly journals Whole-Genome Sequence of Bacillus cereus AR156, a Potential Biocontrol Agent with High Soilborne Disease Biocontrol Efficacy and Plant Growth Promotion

2017 ◽  
Vol 5 (35) ◽  
Author(s):  
Chun-Hao Jiang ◽  
Yun Chen ◽  
Fang Yan ◽  
Zhi-Hang Fan ◽  
Jian-Hua Guo
Keyword(s):  
Bacillus Cereus ◽  
Genome Sequence ◽  
Molecular Mechanisms ◽  
Growth Promotion ◽  
Draft Genome ◽  
Gc Content ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Content Type ◽  
Soilborne Disease

ABSTRACT Bacillus cereus AR156 was originally isolated from the forest soil of Zhenjiang, a city in China. To shed new light on the molecular mechanisms underlying the biological control of soilborne pathogens, the whole genome of this strain was sequenced. Here, we report the draft genome sequence of this strain, consisting of a single circularized contig measuring 5.66 Mb, with an average GC content of 35.5% and 5,367 open reading frames.

Whole-Genome Sequence Characterization of Primary Auxin-Responsive Aux/IAA Gene Family in Sorghum (Sorghum bicolor L.)

2010 ◽  
Vol 36 (4) ◽  
pp. 688-694
Author(s):  
Yi-Jun WANG ◽  
Yan-Ping LÜ ◽  
Qin XIE ◽  
De-Xiang DENG ◽  
Yun-Long BIAN
Keyword(s):  
Sorghum Bicolor ◽  
Gene Family ◽  
Genome Sequence ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Sequence Characterization ◽  
I Gene

Whole-Genome Sequence Isolation, Chromosome Location, and Characteriza-tion of Primary Auxin-ResponsiveAux/IAAGene Family inAegilops tauschii

2014 ◽  
Vol 40 (12) ◽  
pp. 2059
Author(s):  
Lin-Yi QIAO ◽  
Xin LI ◽  
Zhi-Jian CHANG ◽  
Xiao-Jun ZHANG ◽  
Hai-Xian ZHAN ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Chromosome Location

scholarly journals Whole genome sequence of Corynebacterium kroppenstedtii isolated from a case of recurrent granulomatous mastitis

IDCases ◽  
2020 ◽  
pp. e01034
Author(s):  
Charlie Tan ◽  
Fang-I Lu ◽  
Patryk Aftanas ◽  
Kara Tsang ◽  
Samira Mubareka ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Granulomatous Mastitis

TIGER: inferring DNA replication timing from whole-genome sequence data

2021 ◽  
Author(s):  
Amnon Koren ◽  
Dashiell J Massey ◽  
Alexa N Bracci
Keyword(s):  
Dna Replication ◽  
Genome Sequence ◽  
Genomic Dna ◽  
Sequence Data ◽  
Replication Timing ◽  
Whole Genome Sequence ◽  
Supplementary Information ◽  
Whole Genome ◽  
Genome Sequence Data ◽  
Dna Replication Timing

Abstract Motivation Genomic DNA replicates according to a reproducible spatiotemporal program, with some loci replicating early in S phase while others replicate late. Despite being a central cellular process, DNA replication timing studies have been limited in scale due to technical challenges. Results We present TIGER (Timing Inferred from Genome Replication), a computational approach for extracting DNA replication timing information from whole genome sequence data obtained from proliferating cell samples. The presence of replicating cells in a biological specimen leads to non-uniform representation of genomic DNA that depends on the timing of replication of different genomic loci. Replication dynamics can hence be observed in genome sequence data by analyzing DNA copy number along chromosomes while accounting for other sources of sequence coverage variation. TIGER is applicable to any species with a contiguous genome assembly and rivals the quality of experimental measurements of DNA replication timing. It provides a straightforward approach for measuring replication timing and can readily be applied at scale. Availability and Implementation TIGER is available at https://github.com/TheKorenLab/TIGER. Supplementary information Supplementary data are available at Bioinformatics online

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