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1 5249 controls following imputation with 1000 Genomes data).
2 ncultivated, under-studied and lacks nuclear genome data.
3 file alignments based on available microbial genome data.
4 re it can be combined or compared with other genome data.
5 el with parameters estimated from Drosophila genome data.
6  order to capture, interpret and compare pan-genome data.
7 cted on the basis of statistical analyses of genome data.
8 with renal agenesis and analyzed their exome/genome data.
9 ing, annotating and comparing metagenome and genome data.
10 d by the ongoing rapid accumulation of whole-genome data.
11 -gene (family), and some are based on entire genome data.
12  coalescent-based approach to simulate whole genome data.
13 amically visualize multi-species comparative genome data.
14 ional resources owing to the large volume of genome data.
15 ups previously underrepresented in available genome data.
16 ently to scaffold the low-coverage draft dog genome data.
17 oncerning the ongoing generation of nematode genome data.
18  eukaryotic genomes and the incomplete human genome data.
19 ction is only just beginning, fuelled by the genome data.
20 sequence types (STs) were extracted from the genome data.
21 ll make a major contribution to interpreting genome data.
22  of lesser studied drosophilid taxa in whole-genome data.
23 ogenetic analysis and investigation of whole genome data.
24 analysis and interpretation of K. pneumoniae genome data.
25 f extracting multilevel structure from whole-genome data.
26 ere supported by a study of real MAG-isolate genome data.
27 on for a subset of 1610 samples that provide genome data.
28  large-scale generation of full-length virus genome data.
29 ainment of data-driven biomarkers from whole-genome data.
30 s are collected from the annotated human DNA genome data.
31 y or in addition to structural analysis from genome data.
32 logenetic problems based on analyses of real genome data.
33 e markers with patternMarkers requires whole-genome data.
34             It is important to protect human genome data.
35 reliably detect contamination in single-cell genome data.
36 ex of cryptic species is not supported by mt genome data.
37 rrent interest and can scale to handle whole-genome data.
38 g better serving the demands of contemporary genome data.
39 user-friendly visualization tool for the 293 genome data.
40 n gleaning medically useful information from genome data.
41 et from a mouse QT locus study, and the 1000 Genomes data.
42  MegaChip genotypes were imputed to Thousand Genomes data.
43 rs applied to different subdivisions of 1000 Genomes data.
44 sociation studies was imputed by use of 1000 Genomes data.
45  document links between metabolome and (meta)genome data, aiding identification of natural product bi
46                    The inherent structure of genome data allows for more efficient lossless compressi
47 estral repeats; and three derived from human genome data alone, consisting of (4) SNP density, (5) fr
48                    The lycophyte chloroplast genome data also enable a better reconstruction of the b
49            BART3D can be a useful tool in 3D genome data analysis and functional genomics research.
50 available data from the Broad Institute TCGA Genome Data Analysis Center,
51                                 We find that genome data analysis confirms the likelihood of much mor
52                     However, moving personal genome data analysis to the cloud can raise serious priv
53                        By generating new bat genome data and applying model-based phylogenomic analys
54 mplicate the interpretation of mitochondrial genome data and confound variant calling.
55                         Using complete plant genome data and discovery of multiple insect PR5-L seque
56                    Using currently available genome data and gene annotation information, we systemat
57       We have tailored graphs for describing genome data and have developed a database management sys
58          In this study, we use purely cancer genome data and investigate the distinction between mini
59 a useful tool for the systematic analysis of genome data and is available via a server on the world w
60 n informatics infrastructure which organizes genome data and makes it available worldwide.
61 performed existing algorithms on real cancer genome data and on synthetic tumors in the ICGC-TCGA DRE
62 efforts will be facilitated by the wealth of genome data and resources in Rosaceae.
63 cation and then NS, which provided extensive genome data and revealed probable pathogen Haseki Tick V
64 orphism (SNP) genotyping and then with whole-genome data and show how an understanding of evolution i
65  insights gained from having access to whole-genome data and the challenges that remain with respect
66  of enzyme-encoding genes within unannotated genome data and their visualization in the context of th
67 use a simulated data generated from the 1000 genomes data and illustrate that we can easily detect up
68 equencing, creates the availability of whole genome data, and advances phylogenetic methods.
69 nomics include discovering novel pathways in genome data, and discovering functional interaction part
70 ate members of the BAS and MEG classes using genome data, and generated an alignment of vertebrate an
71 gn mixtures of assembled draft and completed genome data, and is robust in identifying a rich complem
72 g and annotation do not handle mitochondrial genome data appropriately.
73                                    Bacterial genome data are accumulating at an unprecedented speed d
74       Vastly greater quantities of microbial genome data are being generated where environmental samp
75 f 'sequence everything', we argue that whole-genome data are pivotal to guide informed taxonomic infe
76  individual cell is captured from nature and genome data are produced from the amplified total DNA.
77 ate genomes with a particular focus on human genome data as well as data for key model organisms such
78 ve maximum knowledge from existing microbial genome data as well as from genome sequences to come.
79 tudy samples with 2492 samples from the 1000 Genomes data as the reference.
80                The availability of exome and genome data, as well as gene and allele discovery for va
81            This may reflect limited complete genome data available for red algae, currently only the
82 nting the "pangenome." Despite the volume of genome data available, gene prediction and annotation ar
83 omparison with the human gene from the Human Genome Data Bank revealed no significant homology in the
84  been assigned to the encoded protein in the genome data bank, is a CCBL2 (synonym KAT III).
85 er enzyme, GTK/KAT I, is listed in mammalian genome data banks as CCBL1 (cysteine conjugate beta-lyas
86                     The recent appearance in genome data banks of homologs to the N-sulfotransferase
87 (EKI1) was identified from the Saccharomyces Genome Data Base (locus YDR147W) based on its homology t
88 roduct was identified from the Saccharomyces Genome Data Base (locus YJL100W) as a putative member of
89 identified from the Saccharomyces cerevisiae genome data base as homologues of ELO1, a gene involved
90                            The Saccharomyces genome data base contains an open reading frame (here de
91                Subsequently, a search of the genome data base demonstrated the existence of at least
92     A search of the Saccharomyces cerevisiae genome data base for cytochrome b5-like sequences identi
93          We queried the Arabidopsis thaliana genome data base in search of genes with similarity to t
94                     Version 6.0 of the Human Genome Data Base introduces a number of significant impr
95          Upon searching the nearly completed genome data base of the related parasite Trypanosoma bru
96 ived from partial sequences in the T. brucei genome data base that were identified by homology with k
97                        Next, the Arabidopsis genome data base was searched for genes containing AGL15
98                A search of the P. falciparum genome data base yielded an open reading frame similar t
99 ed to as hclA), identified in the Drosophila genome data base, by P-element-mediated germ line rescue
100 predicted 52-kDa protein in the T. denticola genome data base.
101 1) were identified in the Trypanosoma brucei genome data base.
102 peptides to search the published Bacteroides genome data base.
103 sequence analysis and searching of the yeast genome data base.
104 82w (LYS20) and YDL131w in the Saccharomyces genome data base.
105 the genes encoding each subunit in the yeast genome data base.
106 ecalis was identified by searching bacterial genome data bases for proteins containing domains homolo
107                           Fifth, analyses of genome data bases indicate that Siglec-11 has no mouse o
108 ) are not readily identified in the complete genome data bases of these species.
109  sequence (PS00571) were identified in plant genome data bases, and a cDNA was isolated by reverse tr
110 sin II family, has recently been revealed in genome data bases.
111 used a novel method to predict peptides from genome data bases.
112 ily exploit the new opportunities that whole-genome data bring.
113                        The rapid increase of genome data brought by gene sequencing technologies pose
114                                  These whole genome data can be accessed through genome pages, search
115       The highly interconnected structure of genome data can be captured in a data representation lan
116 entation in biogeochemical models, microbial genome data can be leveraged to infer key functional tra
117                                              Genome data can be shared on public websites or with ser
118 bacterial epidemics and illustrates how full-genome data can be used to precisely illuminate the land
119                                              Genome data can provide important comparative data and h
120  world, and challenges associated with viral genome data collection and processing.
121                                     Mosquito genome data, combined with modern molecular techniques,
122                                        Human genome data contain valuable but highly sensitive inform
123                               As single-cell genome data continues to grow rapidly, acdc adds to the
124 rate molecular network information and tumor genome data could complement gene-based statistical test
125 f AMS.(7)(,)(8) However, the availability of genome data covering basal AMF phylogenetic nodes (Archa
126 ; this variant has not been seen in the 1000 Genomes data, dbSNP, or the Exome Sequencing Project.
127 technologies cannot be applied on the entire genome data due to various technical caveats.
128 e composition or isoelectric point) to whole-genome data (e.g. absolute mRNA expression levels or the
129 ver-increasing quality and quantity of whole-genome data, evolutionary insight into origins of distin
130 e prostate cancer status interrogating whole genome data for 113 Black South African men.
131           We analysed >800 rat hepatic whole genome data for 17 steatotic drugs and identified 157 di
132 ight on these questions, we report new whole-genome data for 28 individuals dated to between ~ 4700 B
133 lysis of 21 rhodophyte ptDNAs, including new genome data for 5 species, turned up 22 plasmid-derived
134                              SGN hosts whole genome data for an increasing number of Solanaceae famil
135 efficient method for scanning unphased whole-genome data for association.
136 TCGA) harbors an increasing amount of cancer genome data for both tumor and normal samples.
137 oroplast DNA-derived sequences among nuclear genome data for C. reinhardtii, which also contrasts wit
138                                    Mining of genome data for cellulose degradative enzymes followed b
139                                              Genome data for marine diplonemids, together with freshw
140 be modified, yet we still lack comprehensive genome data for species that represent the most extreme
141 resents a collaborative effort to locate all genome data for the apicomplexan parasite Cryptosporidiu
142                                    Using the genome data from 12 Drosophila species, we identified FB
143 ation of these populations, leveraging whole genome data from 125 individuals.
144 To address these issues, we employed plastid genome data from 138 species, including heterokont algae
145                        Here, we use complete genome data from 20 poxvirus genomes to build a robust p
146                      Using transcriptome and genome data from 21 Symbiodiniaceae isolates, we studied
147         Here, we present high-coverage whole-genome data from 233 primate species representing 86% of
148                           Here, we generated genome data from 32 individuals from an approximately 3,
149           We apply this strategy to complete genome data from 47 wild and domestic pigs from Asia and
150     Here, we re-sequenced and analyzed whole genome data from 51 wild accessions and 53 representativ
151                           Here, we use whole-genome data from 68 rattlesnakes to test hypotheses abou
152 galactose utilization (GAL) pathway in whole-genome data from 80 diverse fungi.
153 is of the C2/1112-15 dataset, based on whole-genome data from a sparse time series consisting of 5 ra
154                Here we use transcriptome and genome data from all major lineages (except Monoplacopho
155 ctone (AHL) synthase, agpI, was observed, in genome data from Archangium gephyra.
156 vide insight into this topic through ancient genome data from Bolivian maize dating to ~500-600 BP, i
157 onal impact further explored by examining 3D genome data from cancer cell lines.
158                                              Genome data from cancer patients represents relationship
159 nd analyses of selected groups in context of genome data from closely related isolates, providing a u
160 ddress this gap, we used high-coverage whole-genome data from Indigenous American ancestries in prese
161                                  Here, using genome data from modern, museum, and ancient samples, we
162 how that this method can be used to generate genome data from nonviable archived samples.
163                                              Genome data from one cell were dominated by sequences fr
164  Genomes Project, and deep coverage complete genome data from our own projects.
165 ssed transcripts using high-throughput whole-genome data from paired design.
166  address this issue by using the first whole genome data from prehistoric Irish individuals.
167 e general outline of the tree using complete genome data from representative prokaryotes and eukaryot
168                          Analyses of nuclear genome data from six samples with the highest DNA preser
169 pproach was used, which intersects (1) whole-genome data from structural and sequence pathogenic loss
170 eq; we then integrated these data with whole-genome data from surveillance sequencing, thereby placin
171                            Here, using novel genome data from the mesophilic Porphyridium cruentum an
172                                     Although genome data from unicellular marine eukaryotes is sparse
173 isease Reporting System with available viral genome data, from 1 December 2020 to 14 January 2022.
174                     Analysis of human cancer genome data further supports the notion that the MTC rei
175 iduals with five types of cancer using whole-genome data generated by The Cancer Genome Atlas Researc
176                                   Mining raw genome data generated for reference genome assemblies is
177                     First, the near-complete genome data generated with the in-house pipeline were im
178 tical inference based on high coverage whole-genome data (greater than 60x) from contemporary African
179 rs, the increasing availability of microbial genome data has made it possible to access the wealth of
180              The rapid accumulation of whole-genome data has renewed interest in the study of using g
181                                              Genome data, health and trait information, participant s
182 allow them to visualize, analyze, and modify genome data in an interactive and generalized manner.
183 umber of samples, enabling analysis of whole-genome data in large cohorts.
184 luable tool for detecting mLOY from exome or genome data in population-scale studies.
185 ware tools and compared with other RNAseq or genome data including Arabidopsis pollen, Lilium vegetat
186  continuing exponential accumulation of full genome data, including full diploid human genomes, creat
187 eloped new infrastructure for handling whole genome data, including increased methods for quality con
188 vs 3%, odds ratio [OR] = 6.9, P < .001), and genome data indicated matching carriage and infection is
189                                          The genome data informed the epidemiology, identifying multi
190                         Integration of whole-genome data into the current taxonomy system can provide
191                                              Genome data is a subject of study for both biology and c
192 ately lead to privacy concerns as more human genome data is collected.
193                                              Genome data is commonly treated as chromosome-length seq
194    The inference of demographic history from genome data is hindered by a lack of efficient computati
195 sequence encompassing the majority of public genome data is rapidly retrieved from GenBank or Ensembl
196                                With complete genome data, it becomes possible to identify and trace i
197                            The complexity of genome data limits the usefulness of traditional databas
198 to new technology for efficiently generating genome data, machine learning methods are urgently neede
199          With the increasing availability of genome data made possible through next-generation sequen
200           However, the sheer volume of whole-genome data makes it difficult to encode the characteris
201 yping of CNPs strongly correlates with whole-genome data (median r(2) = 0.91), especially for loci wi
202 lysis applications are provided as exemplary genome data mining tools over these internal databases.
203              Novel questions emerge from the genome data obtained from the functional prediction of t
204 epresenting 63 species, as well as sequenced genome data of 16 species, together representing 50 of t
205 d patterns of introgressed sequence in whole-genome data of 379 Europeans and 286 East Asians.
206  PR5/PR5-L protein sequences were mined from genome data of a member of each of two main angiosperm g
207                              Although recent genome data of extant early-branching animals have shown
208                    Using high-coverage whole genome data of four wild individuals, we revealed the Ca
209 EPIC array) and extend it by analysing whole genome data of smokers and non-smokers from Generation S
210                           Publicly available genome data of strains of C. jeikeium complex, consistin
211                            Analyses of whole-genome data often reveal that some genes have evolutiona
212                                        Whole genome data on 29 S. pneumoniae isolates identified rela
213 bout one day to assemble 30-fold human whole-genome data on a modern 16-core server with 85 GB RAM at
214             Here, we present the first whole-genome data on the mutational signatures of AFB1 exposur
215 onstruct de novo linkage maps on 7-12x whole-genome data on the Red postman butterfly (Heliconius era
216 ecome a leading technology, generating whole-genome data on the transcriptional alterations caused by
217 olute size of the coding region of the human genome, data on codon usage and pseudogene-derived mutat
218 election and testing, we show that for human genome data, one-piece PC (PC1) is often in a statistica
219 sentation of genetic variation than the 1000 Genomes data, particularly for rare variants and in the
220                           The extensive full-genome data permitted us to identify genes with signific
221                                The extensive genome data permitted us to identify patterns of geograp
222 de seven new genome assemblies, a Neandertal genome data portal, phenotype and disease association da
223 lysis of the EST data compared with the Fugu genome data predicts that approximately 10,116 gene tags
224          The exponential growth of microbial genome data presents unprecedented opportunities for unl
225 es manage the results of different microbial genome data processing and interpretation stages, and re
226 atures have been added to RefSeq prokaryotic genomes data processing pipeline including the calculati
227                                        Whole-genome data provide strong support for recent hybrid ori
228 lows integration of different types of yeast genome data provided by different resources in different
229 n the consensus sequence and publicly funded genome data provided locations of 2.1 million single-nuc
230 formation with the corresponding protein and genome data provides a suitable framework for studying t
231 analysis of mass balance in short-read whole genome data provides a surprisingly complete picture of
232                              Rapid growth of genome data provides opportunities for updating microbia
233 can process this growing volume of bacterial genome data, providing rapid results, but that remain si
234  followed from new genomic technologies, new genome data resources, and global collaborations that co
235  are eventually included into various public genome data resources.
236 s with additional markers imputed using 1000 Genomes data; results were summarized using fixed-effect
237                        Our analyses of whole-genome data reveal an average generation time of 26.9 ye
238                           Analysis of recent genome data revealed the presence of bacteria-like cysM
239 vate to Africa, Asia, and Europe in the 1000 Genomes data reveals that private European variation is
240 omise of sequencing is often just that, with genome data routinely failing to reveal useful insights
241                            Validation of one genome data set demonstrates a sequence accuracy of abou
242 The PCAP program was tested on a mouse whole-genome data set of 30 million reads and a human Chromoso
243 haic hominins to humans and emerging ancient genome data sets for domesticated animals and plants, th
244         Here we exploit representative whole-genome data sets from six diverse bacterial species: Sta
245             The recent availability of whole-genome data sets of RNA and protein expression provides
246 owever, inferring genealogy from large-scale genome data sets quickly, accurately, and flexibly is st
247 pes is significantly underestimated in whole genome data sets, while the predicted haplotypes over th
248  analyze the recently released ExAC and 1000 Genomes data sets to determine how human genetic variati
249  lung and colon cancer, ImmPort and the 1000 genomes data sets.
250 ools can easily compare tens of thousands of genomes, data sets can reach millions of sequences and b
251 interoperable data standards among reference genome data-sharing platforms inhibits cross-platform an
252 s community together with the emergent human genome data should allow for the rapid identification of
253                                          Our genome data should facilitate the breeding and super-dom
254 , targeted resequencing and whole-exome and -genome data, specifically focusing on the progression of
255 A sequencing costs dropping <$1000 for human genomes, data storage, retrieval and analysis are the ma
256                         As an example of how genome data, structural biology, and biochemistry integr
257 in subsets of tissue types and evidence from genome data supported the idea of KRAS- and NRAS-engaged
258 pite the enormous proliferation of bacterial genome data, surprisingly persistent collections of bact
259            We present complete mitochondrial genome data that provide strong evidence that one clade
260 also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage
261                   We show in HapMap and 1000 Genomes data that our method can recover first- and seco
262                                     From the genome data, the rare nonsense mutations may not contrib
263    Taken together with somatic breast cancer genome data, these results point to a breakdown in a BRC
264  the availability of sufficient high-quality genome data to address quantity and quality of HGT in th
265 ing to develop new technologies that exploit genome data to ask entirely new kinds of questions about
266  uses this system in combination with cancer genome data to define new genes and pathways involved in
267 says with computational analyses of emerging genome data to define site- and species-specific polyade
268 ibe current knowledge of the pathway and use genome data to discuss what elements are present in Dros
269 o investigate recent studies utilizing whole-genome data to identify clines in D. melanogaster and se
270     During an epidemic, scientists use viral genome data to infer a shared evolutionary history and c
271 e of genetic gain in breeding by using whole-genome data to predict the breeding value of offspring.
272 and machine-learning approaches to bacterial genome data to quantify the roles of badgers and cattle
273 ient manipulation and integration with other genome data types.
274                      It makes a broad set of genomes, data types and analysis tools available to rese
275 omparisons with the Methanococcus jannaschii genome data underline the extensive divergence that has
276 se a novel watermarking method on sequential genome data using belief propagation algorithm.
277 erimentally that by fusing sequential and 3D genome data using ChromeGCN, we get a significant improv
278 tely detect FGF14 expansions from short-read genome data using outlier approaches.
279              NCBI's flagship genome browser, Genome Data Viewer (GDV), displays our in-house RefSeq a
280 he past year include PubMed, PMC, Bookshelf, genome data viewer, Assembly, prokaryotic genomes, Genom
281 ted in the past year include PMC, Bookshelf, Genome Data Viewer, SRA, ClinVar, dbSNP, dbVar, Pathogen
282                                 We developed genome data visualization toolkit (GDVTK) as an applicat
283 nstructing metabolic networks from annotated genome data, visualizing experimental data in the contex
284         For experimental validation of these genome data, we apply an integrative strategy to charact
285 he integration of three different sources of genome data, we generate average 3D faces to illustrate
286                                        These genome data were not of high quality, and a redeterminat
287 in addition to other publicly available bird genome data which serve as a valuable foundation for AVI
288  functional genomics is currently limited by genome data, which are available for only a few model or
289 me locus in many individuals from population genome data, which provides assessment of structural var
290                              Analysis of the genome data will enhance our understanding of lignocellu
291 timately, a better linkage of metabolome and genome data will likely also be needed particularly cons
292                                Combining the genome data with clinical information, we find that the
293 emented, and accurate approach to cope whole genome data with complex structures.
294 Mine data warehousing system, integrates the genome data with data from external sources and facilita
295 e easily adapted for displaying all types of genome data with known genomic coordinates.
296                        Coupling high-quality genome data with quantitative bioactivity readouts can b
297 hnologies that generate comprehensive, whole-genome data with single nucleotide resolution have alrea
298                     We also show in the 1000 genomes data with cryptic relationships that our method
299 correspondents and SPs-whose aim is to share genome data without individuals' consent and undetected-
300 urrounding rs9679290 using HapMap 3 and 1000 Genomes data yielded two additional signals, rs4953346 (

 
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