Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features
about
Resistance determinants and mobile genetic elements of an NDM-1-encoding Klebsiella pneumoniae strainRNA sequencing and proteogenomics reveal the importance of leaderless mRNAs in the radiation-tolerant bacterium Deinococcus deserti.Aerobactin mediates virulence and accounts for increased siderophore production under iron-limiting conditions by hypervirulent (hypermucoviscous) Klebsiella pneumoniae.Principles of genetic circuit design.Genome-wide mapping of transcriptional start sites defines an extensive leaderless transcriptome in Mycobacterium tuberculosis.Leaderless Transcripts and Small Proteins Are Common Features of the Mycobacterial Translational Landscape.Functional modules of sigma factor regulons guarantee adaptability and evolvability.The dynamic transcriptional and translational landscape of the model antibiotic producer Streptomyces coelicolor A3(2)Genome-scale reconstruction of the sigma factor network in Escherichia coli: topology and functional states.Emerging tools for synthetic genome designInsulated transcriptional elements enable precise design of genetic circuits.Deep transcriptome profiling of clinical Klebsiella pneumoniae isolates reveals strain and sequence type-specific adaptation.Network Analyses in Plant Pathogens.Genomic insights of aromatic hydrocarbon degrading Klebsiella pneumoniae AWD5 with plant growth promoting attributes: a paradigm of soil isolate with elements of biodegradation.
P2860
Q21132017-7FBAF148-667C-467D-9CF4-94DE41947B42Q33556640-AEE43772-779B-4CF1-A43D-3F6E1148122AQ33603028-1883329A-F078-4CF6-A88D-D27BEF38F379Q34502550-DD3A117A-A323-4B2E-9EBC-2FC3F98882F6Q35051702-304065F2-8939-4B80-916C-99525C0A6005Q35832097-64ACC7A3-B367-4AA7-A757-E810DA053A7EQ36621454-F96B652B-8888-4A66-A6DA-50FC6E13DBCCQ36975743-B74D4AFB-0DF7-423D-BF64-C00D67B53399Q37581716-6790FD5F-ACFB-47AD-B719-967DE2F0F193Q38109520-C43F2502-6909-4695-93C3-BD160B1E55C6Q40971962-606BFB2E-8B32-428E-82F4-ABE23DB6DAE5Q41059926-85FEEB4E-95D8-4154-8DB7-3E9FE86CE865Q49983962-58F90376-B721-4E48-91D9-ADEC888B435FQ52732605-AFDB2665-3709-4FBF-8349-682FE1B2C54F
P2860
Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features
description
2012 nî lūn-bûn
@nan
2012 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Multiple-omic data analysis of ...... ecture and regulatory features
@ast
Multiple-omic data analysis of ...... ecture and regulatory features
@en
Multiple-omic data analysis of ...... ecture and regulatory features
@nl
type
label
Multiple-omic data analysis of ...... ecture and regulatory features
@ast
Multiple-omic data analysis of ...... ecture and regulatory features
@en
Multiple-omic data analysis of ...... ecture and regulatory features
@nl
prefLabel
Multiple-omic data analysis of ...... ecture and regulatory features
@ast
Multiple-omic data analysis of ...... ecture and regulatory features
@en
Multiple-omic data analysis of ...... ecture and regulatory features
@nl
P2093
P2860
P3181
P356
P1433
P1476
Multiple-omic data analysis of ...... ecture and regulatory features
@en
P2093
Byung-Kwan Cho
Donghyuk Kim
Jay Sung-Joong Hong
Joo-Hyun Seo
Shih-Feng Tsai
Tzu-Wen Huang
P2860
P2888
P3181
P356
10.1186/1471-2164-13-679
P407
P577
2012-11-29T00:00:00Z
P5875
P6179
1053028315