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1 -scale sRNA identification for any sequenced microbial genome.
2 ning the number and sizes of ORFs within any microbial genome.
3 rediction of functional modules encoded in a microbial genome.
4 set of microbial contigs against a completed microbial genome.
5 striction sites at any given nucleotide in a microbial genome.
6 ical virulence strategies encoded within the microbial genome.
7 ts per liter that mapped to several thousand microbial genomes.
8 y from the perspective of both our human and microbial genomes.
9 es of interest from metagenomes and complete microbial genomes.
10 the human reference genome to a database of microbial genomes.
11 discovery within archaeal and other selected microbial genomes.
12 l in several studies of completely sequenced microbial genomes.
13 econdary metabolites are a common feature of microbial genomes.
14 SIV R1-R2 fusion are found in many sequenced microbial genomes.
15 the discovery of cryptic peptides encoded in microbial genomes.
16 footprint of positive Darwinian selection in microbial genomes.
17 epertoire of signal transduction proteins in microbial genomes.
18 d for improving the annotations of about 150 microbial genomes.
19 algorithm for locating operon structures in microbial genomes.
20 m genome scale metabolic models derived from microbial genomes.
21 ilable addressing its occurrence in complete microbial genomes.
22 ependent approach to sample and characterize microbial genomes.
23 netic distribution of rRNA and tRNA genes in microbial genomes.
24 OGs] database) are encoded by many plant and microbial genomes.
25 d annotating sequence data, particularly for microbial genomes.
26 highly reproducible and quality analysis of microbial genomes.
27 tronic catalog of the signaling machinery in microbial genomes.
28 the average content of previously sequenced microbial genomes.
29 sent an algorithm for pathway mapping across microbial genomes.
30 prediction of functional modules encoded in microbial genomes.
31 ormed a comparative analysis of 72 sequenced microbial genomes.
32 omated high-throughput mutation detection in microbial genomes.
33 gies conserved (without disablements) across microbial genomes.
34 s between all orthologous proteins within 44 microbial genomes.
35 tree consisting of 3,240 publicly available microbial genomes.
36 putative genes found by sequence analysis of microbial genomes.
37 organization between finished and unfinished microbial genomes.
38 nucleotide combinations in 27 representative microbial genomes.
39 verage protein length comparisons for all 44 microbial genomes.
40 or determining the near-complete sequence of microbial genomes.
41 and can be adapted for the investigation of microbial genomes.
42 ine is proposed to find potential operons in microbial genomes.
43 density high-throughput analyses of complete microbial genomes.
44 y to be biologically relevant in 17 complete microbial genomes.
45 ring algorithm for protein-coding regions in microbial genomes.
46 a new system, GLIMMER, for finding genes in microbial genomes.
47 esis will require analyses of populations of microbial genomes.
48 Such sequences are not common in microbial genomes.
49 red biological activities that are hidden in microbial genomes.
50 ation about the unique k-mers present in the microbial genomes.
51 nd systematic functional characterization of microbial genomes.
52 ed to achieve saturating coverage of complex microbial genomes.
53 om sequence locus typer tool for classifying microbial genomes.
54 but is impeded by the mosaic organization of microbial genomes.
55 G DNA motifs that are most commonly found in microbial genomes.
56 ing selective isolation of DNA segments from microbial genomes.
57 alibrating the markers using data from known microbial genomes.
58 strate the value of mining viral signal from microbial genomes.
59 ged 9,428 metagenomes to reconstruct 154,723 microbial genomes (45% of high quality) spanning body si
62 ies, they can generate de novo assemblies of microbial genomes, after an initial correction step that
63 ether with new technologies for manipulating microbial genomes, allowed such questions to be addresse
64 availability of a large number of sequenced microbial genomes allows us to conduct systematic studie
66 nnotations, teaching courses and training in microbial genome analysis and analysis of genomes relate
68 It is designed to automate the main steps in microbial genome analysis-assembly, gene prediction, fun
71 sequencing that have driven the explosion of microbial genome and community profiling projects, and t
73 etagenome datasets are processed using IMG's microbial genome and metagenome sequence data processing
74 ) contains robust annotation of all complete microbial genomes and allows for a wide variety of data
75 ntiSMASH results for many publicly available microbial genomes and allows for advanced cross-genome s
76 widely distributed in ~10% of all sequenced microbial genomes and can be divided into six coherent s
77 iocin encoding genes are frequently found in microbial genomes and could therefore offer a ready supp
79 locus tags from 1835 OA publications in ten microbial genomes and extracted tags mentioned in 30,891
80 We use these to assemble 238 high-quality microbial genomes and identify affiliations between MGS
84 aking advantage of the expanding database of microbial genomes and metagenomes, combined with direct
87 ate that Canu can reliably assemble complete microbial genomes and near-complete eukaryotic chromosom
88 R-cas loci are widely distributed throughout microbial genomes and often display hallmarks of horizon
89 nine (6mA) modification is commonly found in microbial genomes and plays important functions in regul
91 es has enabled precise, multiplex editing of microbial genomes and the construction of billions of cu
92 sion medicine that encompasses our human and microbial genomes and their combined metabolic activitie
93 ynthetic gene clusters across 40 000 isolate microbial genomes, and a new search capability to query
94 mologous recombination and point mutation in microbial genomes, and present evidence for two distinct
95 g agents, explains the well-known GC skew in microbial genomes, and suggests the APOBEC3 family of mu
97 ends of genes is of critical importance for microbial genome annotation, especially in light of the
107 though the complete DNA sequences of several microbial genomes are now available, nearly 40% of the p
111 ing technologies have brought recognition of microbial genomes as a rich resource for novel natural p
112 llows selective isolation of any region from microbial genomes as well as from environmental DNA samp
113 surveyed data banks of completely sequenced microbial genomes, as well as those for genomes in the p
114 During the year of 2014 more than 10,000 microbial genome assemblies have been publicly released
116 mbly process (HGAP) for high-quality de novo microbial genome assemblies using only a single, long-in
117 sertions/deletions are thought to be rare in microbial genome assemblies, fourteen of the loci contai
119 y verified and predicted BCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (I
120 her metagenome contigs than to any sequenced microbial genome based on GSPC analysis, suggesting a ge
123 t links for each gene to UCSC eukaryotic and microbial genome browsers provide graphical display of t
124 SMRT) sequencing is routinely used to finish microbial genomes, but available assembly methods have n
125 r trillions of bases can uncover hundreds of microbial genomes, but naive assembly of these data is c
130 apid, and easy-to-use method for large-scale microbial genome characterization and phylogenetic analy
132 conservation of genetic information between microbial genomes, combined with the exponential increas
133 rate higher-quality lower-cost assemblies of microbial genomes compared to current Sanger sequencing
134 e analysis of the ever-growing collection of microbial genomes coupled with experimental validation e
136 er to derive maximum knowledge from existing microbial genome data as well as from genome sequences t
137 e last years, the increasing availability of microbial genome data has made it possible to access the
138 ta resources manage the results of different microbial genome data processing and interpretation stag
141 agenomic sequencing allows reconstruction of microbial genomes directly from environmental samples.
143 summary, results of this study indicate that microbial genomes do indeed contain detectable signal of
146 Here, we report a quantitative analysis of microbial genome evolution by fitting the parameters of
148 e trees to be related to broader patterns in microbial genome evolution is scant, and therefore micro
150 ng gene content and sequence across multiple microbial genomes facilitating the discovery of genetic
151 was explored by conducting a BLAST search of microbial genomes followed by phylogenetic analysis.
155 il ecosystem and recovered 793 near-complete microbial genomes from 18 phyla, representing around one
156 nt a systematic evaluation using 42 complete microbial genomes from 25 phylogenetic groups to test th
158 A) provides an efficient approach to amplify microbial genomes from complex backgrounds for sequence
159 omparisons with a control group representing microbial genomes from diverse natural environments indi
161 ence of single-copy marker genes to separate microbial genomes from non-model host genomes and other
163 tating the de novo assembly of near-complete microbial genomes from single Escherichia coli cells.
165 s of metagenome data integrated with isolate microbial genomes from the Integrated Microbial Genomes
167 s (10.2x depth of coverage)-the oldest draft microbial genome generated to date, at around 48,000 yea
170 rs of functionally related genes in multiple microbial genomes has enormous potential for enhancing s
175 Recent molecular characterization of various microbial genomes has revealed differences in genome siz
177 otein products identified in fully sequenced microbial genomes have been compared with proteins with
184 C. difficile clade, or indeed, in any other microbial genome; however, smaller segments were detecte
186 des a seamless interface with the Integrated Microbial Genomes (IMG) system and supports and promotes
193 Expert Review (ER) version of the Integrated Microbial Genomes (IMG) system, with the goal of support
198 tunities for investigation of AMR across all microbial genomes in a sample (i.e. the metagenome).
201 we investigate the resistome of 435 ruminal microbial genomes in silico and confirm representative p
202 s are widespread in numerous uncharacterized microbial genomes, in which an ORF17 homolog is always a
203 quence DNA samples isolated from a number of microbial genomes including 750-kb Ureaplasma urealyticu
204 protein disulfide bonds for over one hundred microbial genomes, including both bacterial and achaeal
205 e sequence data from an ever-growing list of microbial genomes, including complete genomes for multip
207 es improve and the number of whole sequenced microbial genomes increases, a user-friendly genome cont
208 Examination of approximately 1,000 sequenced microbial genomes indicated that such biosynthetic pathw
210 IMG contains both draft and complete JGI microbial genomes integrated with all other publicly ava
212 microbial species has demonstrated that the microbial genome is a dynamic entity shaped by multiple
214 s and the complete sequencing of a number of microbial genomes is providing the opportunity to compre
217 rizontal gene transfer is well documented in microbial genomes, no case has been reported in higher p
219 tive method for predicting relatedness among microbial genomes of B. cereus group members and potenti
221 cAB orthologues are rare among all available microbial genomes, organisms are much more phylogenetica
222 rcular contigs from sequence data of isolate microbial genomes, plasmidome and metagenome sequence da
224 f the complete prokaryotic genomes in NCBI's Microbial Genome Project Database and applying statistic
225 d on the controlled vocabularies that NCBI's Microbial Genome Project database uses to specify the or
226 ys) of uncharacterized enzymes discovered in microbial genome projects using the ligand specificities
227 ew data management and analysis platform for microbial genomes provided by the Joint Genome Institute
228 netic transfer in shaping the composition of microbial genomes, providing novel metabolic capabilitie
229 on information deriving from the sequence of microbial genomes rather than via the growth of pathogen
230 mapped specifically to intergenic regions of microbial genomes recovered from similar habitats, displ
231 Here we investigate thousands of viral and microbial genomes recovered using a cultivation-independ
233 ologous genes (COGs) from 44 fully sequenced microbial genomes representing all three domains of life
234 to improve the quality and usability of the microbial genome resources by providing easy access to t
239 ated DNAs (microsatellites) in nine complete microbial genomes (Saccharomyces cerevisiae, Archaeoglob
240 Since the publication of the first complete microbial genome sequence of Haemophilus influenzae in 1
242 oximately one-third of all genes) across all microbial genomes sequenced to date, have homologs in mo
243 r interpreting the large number of reference microbial genome sequences being generated for the Inter
244 n DNA sequencing technologies, the number of microbial genome sequences has increased dramatically, r
245 omparative analysis of the growing number of microbial genome sequences has shown a high plasticity o
246 influenzae in 1995, more than 200 additional microbial genome sequences have become available in the
248 s, coupled with the availability of complete microbial genome sequences, provide insight almost as fa
259 s are often sufficient to fill final gaps in microbial genome sequencing projects without additional
262 less obscure, due in part to large-scale gut microbial genome-sequencing projects and culture-indepen
264 vidence for the inverse relationship between microbial genome size and temperature in a diverse, free
268 epeats (CRISPR) were detected in most of the microbial genomes, suggesting previous interactions betw
269 he method to a newly sequenced and annotated microbial genome, Synechococcus sp. WH8102, through a co
271 ional) lists of close homologs from complete microbial genomes that are more likely to crystallize.
272 e approach the completed sequencing of 1,000 microbial genomes, the field of microbial genomics is po
273 zae , Helicobacter pylori and other complete microbial genomes, this system has proven to be very acc
275 ns ranging from the assembly of uncultivable microbial genomes to the identification of cancer-associ
276 uding the use of fragment libraries of whole microbial genomes, to identify peptide-ligand and protei
277 e-scale datasets containing information from microbial genomes together with antimicrobial susceptibi
282 ondition that is violated for most sequenced microbial genomes where BGCs are often scattered through
283 argely based on (i) its reliance on complete microbial genomes, which allowed reliable assignment of
284 ine and chemokine receptor homologs found in microbial genomes, which deflect the immune response of
285 ific markers (GSMs) from currently sequenced microbial genomes, which were then used for strain/speci
288 istically rigorous approach to extract novel microbial genomes while preserving single-cell resolutio
289 t (i) can determine the overall quality of a microbial genome, while providing a putative phylogeneti
295 D subsystems technology, first developed for microbial genomes, with refined protein families and bio
296 notations of both new and publicly available microbial genomes within IMG's rich integrated genome fr
297 ol microbiome samples generated over 150 000 microbial genomes without any culture, vastly expanding
298 ncRNAs in partially or completely sequenced microbial genomes without requiring homology or structur
299 erited genetic entities and aids assembly of microbial genomes without the need for reference sequenc
300 ematically, the presence of recombination in microbial genomes would go undetected unless other genom