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1  from both statistical genetics and clinical genomics.
2 studies is among the most common analyses in genomics.
3 ny implications for evolutionary and medical genomics.
4 zed somatic-mutation analysis in single-cell genomics.
5 ks and the regulatory disruptions related to genomic aberrations in cancers.
6                   Overall, the BCa cell line genomic aberrations were concordant with those found in
7 ncogenesis is a pathologic process driven by genomic aberrations, including changes in nucleotide seq
8 r sequencing patient samples and study their genomics aberrations.
9 and the linear quadratic model to derive the genomic-adjusted radiation dose (GARD).
10 che of genome sequences emerging in the post-genomic age, it is an urgent challenge to acquire the in
11                             Here, we studied genomic alterations in single primary tumor cells and ci
12 ALL) is a high-risk subtype characterized by genomic alterations that activate cytokine receptor and
13                         In contrast to fixed genomic alterations, here we show that GR-mediated antia
14 d human ETV6-RUNX1 pB-ALL revealed recurrent genomic alterations, with a relevant proportion affectin
15                                  Large-scale genomic analyses of human cancers have cataloged somatic
16  discussed, since it underlies all secondary genomic analyses such as RNA sequencing (RNA-Seq), chrom
17  structure and replicative cycle, along with genomic analysis and genomic comparisons with previously
18 e performed a comparative transcriptomic and genomic analysis at the level of one single plant cell t
19  sequencing data has improved the results of genomic analysis due to the resolution of mapping algori
20  individual cells for whole-transcriptome or genomic analysis in a massively parallel manner with min
21 gh sensitivity of the algorithm also enables genomic analysis of heterogeneous pathogen genomes from
22 creatic ductal adenocarcinoma (PDAC) and our genomic analysis revealed that SERPINB2 is frequently de
23 CT-guided lung core needle biopsies used for genomic analysis, there should be a preference for using
24 ome coverage (0.21x to 3.93x) for population genomic analysis.
25 24 (88%) of these had isolates available for genomic analysis.
26 data, the ability to relate it to the larger genomic and comparative genomic context is becoming incr
27              Integration of Sp1 modules with genomic and epigenomic data indicates epigenetic control
28  that samples from the same tumor mass share genomic and expression signatures, whereas geographicall
29              Expanded data content is mostly genomic and functional genomic data while new data types
30                               Here, we apply genomic and metabolomic methods in a complementary manne
31    Despite advances in the identification of genomic and molecular alterations that fuel the tumour,
32 was employed to extensively characterize the genomic and molecular landscape of insulinomas relative
33                              High-throughput genomic and molecular profiling of tumors is emerging as
34                                              Genomic and phenotypic analyses of FCGR3A/CD16 Fc-recept
35 as a valuable resource for understanding the genomic and phenotypic underpinnings of bacterial evolut
36          Current research has shown that the genomic and transcriptomic changes are present in DCIS b
37      INA methods, through the integration of genomic and transcriptomic data, and FIC methods, by tra
38 ant species is limited by the quality of the genomic and transcriptomic resources available.
39 sional framework integrating transcriptomic, genomic and/or epigenomic profiles for any given cancer
40  The GRN approach has advanced the fields of genomics and development, and we identify organizational
41  data" revolution having already happened in genomics and environment, and eventually arriving in med
42                              The comparative genomics and experimental study, presented here, allows
43     Here, using a combination of comparative genomics and molecular clock analyses, we show that phot
44 develop machine-learning approaches based on genomics and other relevant accessible information for u
45           In this study, we used comparative genomics and transcriptome analysis of citrate-producing
46  step is to annotate such genomic regions to genomic annotations (promoters, exons, enhancers, etc.).
47 iable size and coverage depth for functional genomics application.
48                      In support, analysis of genomic architecture in mouse intestinal epithelial cell
49                            We found that the genomic architecture of flowering time has been shaped b
50                          The degree to which genomic architecture varies across space and time is cen
51 ated bioinformatic pipeline and laptop-based genomic assembly demonstrated the feasibility of sequenc
52 sistance when transformed into a susceptible genomic background.
53  test of truly understanding the genetic and genomic basis of nematode parasitism.
54 s in the Baylor-Hopkins Center for Mendelian Genomics (BHCMG) cohort and detected 773 HMZ deletion ca
55  PRC1-Fs(1)h interactions and identify their genomic binding sites.
56 xamined via metagenomic, metatranscriptomic, genomic binning, and geochemical analyses from Axial Sea
57                                            A genomic bioinformatics survey suggested that Glt1 belong
58 ivity for 14 of the drugs, 9 of which had no genomic biomarker.
59 nd other multicellular organisms.Single-cell genomics can be used to study uncultured microorganisms.
60 pproaches from chemical biology, proteomics, genomics, cell biology, and genetics that have propelled
61 ses to be targeted in the Seattle Structural Genomics Center for Infectious Disease (SSGCID) structur
62                                         This genomic change probably contributed to the high evolutio
63 ally, the ability to monitor therapy-induced genomic changes in the tumour in an inexpensive and mini
64 e sheath tumors are characterized by complex genomic characteristics and aggressive clinical behavior
65 Santa Cruz Genome Browser to investigate the genomic characteristics of the regions at the terminal e
66                          The Alignable Tight Genomic Clusters (ATGCs) database is a collection of clo
67 ative cycle, along with genomic analysis and genomic comparisons with previously known viruses.
68                            Understanding the genomic complexity of bread wheat (Triticum aestivum L.)
69 er frequencies, as suggested by a remarkable genomic conservation in F. acidiphilum Y(T) variants fro
70 m study on PTSD conducted by the Psychiatric Genomics Consortium (PGC)-Enhancing Neuroimaging Genetic
71 he most recent analysis from the Psychiatric Genomics Consortium as a direct measure of the vulnerabi
72 were recruited through the Pediatric Cardiac Genomics Consortium: 355 CTD trios and 192 LVOTD trios.
73 ate it to the larger genomic and comparative genomic context is becoming increasingly crucial to make
74  origins connecting the long-known effect of genomic context on replication timing to genome architec
75 pic readout of enhancer function in a native genomic context reveals novel features of CRM function u
76 rter minigene or via random mutations in the genomic context using CRISPR/Cas9, changed the splicing
77 moter became strongly repressed in the human genomic context, but the hTERT promoter was highly activ
78 TERT promoter was highly active in the mouse genomic context.
79  a limit of detection of 3.40 +/- 0.20 log10 genomic copies (LGC), which is comparable to most other
80 ly, we assess the phenotypic consequences of genomic copy-number alterations that are repeatedly obse
81 oncology, clinical psychology, epidemiology, genomics, cost-effectiveness modeling, pathology, bioeth
82  candidate genes or a very small fraction of genomic CpG sites in human pancreatic islets, the tissue
83 lue procedure and maintain its high power in genomic data analysis, we propose a new multiple testing
84  resurgent interest as potential archives of genomic data and for the unique perspective they provide
85 The GDC aims to democratize access to cancer genomic data and to foster the sharing of these data to
86 aches combining regulatory networks (RN) and genomic data are needed to extract biological informatio
87                 Existing unrestricted-access genomic data browsing resources provide only summary sta
88 herapy response and assess its prediction in genomic data from 10,000 human tissues across 30 differ
89                         We analyzed relevant genomic data from all currently available sequenced orga
90 om the reanalysis of a published genetic and genomic data set through iFORM/eQTL gain new discoveries
91                                        Large genomic data sets generated with restriction site-associ
92 ata content is mostly genomic and functional genomic data while new data types include protein microa
93        These questions can be addressed with genomic data, which can rule out artifacts by demonstrat
94 st malaria based on antigens identified from genomic data.
95 al information retrieval in large volumes of genomic data.
96 stigates evolutionary relationships based on genomic data.
97            Multiple types of high throughput genomics data create a potential opportunity to identify
98  drug response in very large clinical cancer genomics data sets, such as The Cancer Genome Atlas (TCG
99 o the supplied data to produce a comparative genomic database or multi-layered annotation database.
100                      The Eukaryotic Pathogen Genomics Database Resource is a collection of databases
101 bases, consequence prediction algorithms, or genomic datasets can be integrated into the inference.
102  easily visualize, query, and explore cancer genomic datasets visually or programmatically.
103 l host (Escherichia coli) using an efficient genomic delivery machine that is driven by elastic energ
104                                              Genomic discovery that is agnostic to preexisting knowle
105 ared with noncarriers (n=389), children with genomic disorders (n=31) scored significantly poorer on
106 couplings between regions separated by large genomic distances (>50 Mb) have yet to be characterized.
107 nclassified MITEs, demonstrating a different genomic distribution and functionality compared to the c
108  Our results show a striking contrast in the genomic distributions of 6mA and 5-methylcytosine and re
109 at these two states acquire highly divergent genomic distributions with substantial disruption of bim
110 eotides rapidly produced large combinatorial genomic diversity >10(5).
111 icle, we outline interconnections between IG genomic diversity and Ab-expressed repertoires and struc
112 ere are geographic influences on the present genomic diversity, independent of the admixture, showing
113 longside high-abundance populations with low genomic diversity, with taxonomic differences in pattern
114 uNPs), we have developed a novel unamplified genomic DNA (gDNA) nanosensor, exploiting dispersion and
115  on restriction enzymes capable of digesting genomic DNA at defined sequence motifs.
116                                        Thus, genomic DNA DSBs act as signaling intermediates in murin
117    The ability to rewrite large stretches of genomic DNA enables the creation of new organisms with c
118      Samples contained equimolar mixtures of genomic DNA from lambda bacteriophage, Escherichia coli
119                                Chromatinized genomic DNA is resistant to MjAgo degradation, and recom
120 ous generation of interstrand cross-links in genomic DNA may contribute to aging, neurodegeneration,
121 del is sensitive enough to detect changes in genomic DNA methylation levels as a function of growth p
122 inder model without fitting parameters, with genomic DNA sequence being the only input, we further va
123 allows stable labeling and monitoring of HIV genomic DNA within infected cells during cytoplasmic tra
124 p dsDNA analytes, including both plasmid and genomic DNA.
125 ancient organisms that lack large amounts of genomic DNA.
126  reposition and reorganize nucleosomes along genomic DNA.
127 esults provide insight into the clinical and genomic dynamics of tumor evolution with cisplatin-based
128 ges are the result of evolution in different genomic ecotypes.
129 mmarize key features of current knowledge of genomic editing by CRISPR/Cas9 technology as a feasible
130                                       Cancer genomics efforts have identified genes and regulatory el
131 o the functional impact and association with genomic elements of retroduplications.
132 ystems in the Electronic Medical Records and Genomics (eMERGE) Network were randomly allocated to one
133 osses, gene architectures, synteny and other genomic features can not be addressed with a single SAG.
134 cross NGS datasets and separating individual genomic features into groups.
135 Ctenophora, and show that the structural and genomic features of collagen IV are homologous to those
136                                         This genomic flexibility after only one passage indicates tha
137                                        Also, genomics for MMR are warranted.
138 thways through which our life stories sculpt genomic function to contribute to complex behavioral and
139  will promote advances in clinical microbial genomics, functional evolution and other subfields of mi
140 x sequences that do not actually form stable genomic G4 structures, correctly assessing the G4 foldin
141 nce suggests that the extent of formation of genomic G4s may not track directly with G4 stability.
142 es the development of a comprehensive set of genomic gene-based resources including the identificatio
143                         Advances in chemical genomics, gene editing, and model systems now permit dec
144 ssion analysis between each TF and all other genomic genes and then constructing collaborative networ
145 as gained considerable interest as a type of genomic/genetic variation that plays an important role i
146  prospective study was part of the Melbourne Genomics Health Alliance demonstration project.
147                       We demonstrate spatial genomic heterogeneity in more than 75% of patients, incl
148  genome activation (ZGA), the combination of genomic imbalance and partial genome loss disrupts the n
149 dback network between free methyl groups and genomic imprinting at birth.-Tserga, A., Binder, A.
150       We review the current understanding of genomics in myelodysplastic syndromes (MDS) and leukemia
151         However, proteomics still lag behind genomics in popularity and ease of use.
152 hput leaf metabolomics along with functional genomics in wild tomato unreveal potential role of stero
153 ng the growing body of enzyme-structural and genomic information with computational methods to rapidl
154 uct a comprehensive variation map to provide genomic insights into the divergence and dual domesticat
155 ely compromises DNA replication, accumulates genomic instability and ultimately leads to cell death.
156                                       Cancer genomic instability contributes to the phenomenon of int
157 utation and epigenomic features that promote genomic instability during cancer evolution.
158                RNS-induced DNA lesions cause genomic instability in the absence of Brca2.
159 ell cycle progression and the development of genomic instability with aneuploidy.
160  likely tumor evolution, rather than ongoing genomic instability.
161 UNX3 inactivation as aggravating factors for genomic instability.Significance: RUNX3 inactivation in
162 ers, revealing transcription-activity-linked genomic interactions in the nucleus.
163                                     However, genomic islands can also arise through evolutionary proc
164                                              Genomic islands may contain functional variants involved
165 egration site selection and the avoidance of genomic junkyards.
166 of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of ge
167 approaches require robust elucidation of the genomic landscape of a patient's cancer and, ideally, th
168                     To better understand the genomic landscape of non-DS-AMKL, we performed RNA and e
169 rast to adult MDS, little is known about the genomic landscape of pediatric MDS.
170 ioblastoma and provide new insights into the genomic landscape of tumor cells that survive and initia
171 ers are poor-prognosis tumors with a complex genomic landscape.
172 CRISPR/Cas9 was developed such that targeted genomic lesions could be introduced in vivo with unprece
173  among individual patients, treatment at the genomic level must contend with substantial inter-indivi
174 r the existence of proteins predicted at the genomic level.
175 cies and their comparisons at the functional genomics level to support tailor-designed breeding.
176                Complementation of RM1 with a genomic library revealed that the mutation occurred in a
177 ixed populations are underrepresented in the genomics literature, with a key concern for researchers
178 c microsyntenic units, suggesting that their genomic location is extremely ancient and likely to plac
179 d the association of methylation at specific genomic locations as contributing factors to both non-fa
180 l methods have been developed to predict the genomic locations of active enhancers based on histone m
181 ansgenes encoding the DiCre recombinase into genomic loci dispensable for blood stage development.
182     These small RNAs originate from discrete genomic loci enriched in TE sequences and display the mo
183 DNA replicates asynchronously, with discrete genomic loci replicating during different stages of S ph
184 al of 8643 women) to test for replication of genomic loci that had significant genomewide association
185                                  To identify genomic loci underlying LBM, we performed a gene-based g
186 laying and comparing large sets of SNPs in a genomic locus and rapidly identifying consensus SNPs wit
187 use no direct homologs exist at the syntenic genomic locus in metatherian (marsupial) or prototherian
188 rom random amplification mechanisms, or if a genomic locus-specific amplification mechanism plays a r
189  validates tooth form as a proxy for neutral genomic markers.
190                             We developed new genomic measures of damaging passenger load that can acc
191 dress this problem, we propose a new method: Genomic Mediation analysis with Adaptive Confounding adj
192  same patient was examined to determine if a genomic molecular clock could be calculated.
193 ients and xenograft models) laden with whole genomic mtDNA as a mediator of this phenotype.
194 n doors to the study of bacterial functional genomics of different species in numerous settings.
195 r synthetic models and models generated from Genomics of Drug Sensitivity in Cancer database shows th
196                                  Single-cell genomics offers powerful tools for studying immune cells
197  are able to perform replication in trans of genomic or DI RNAs in the yeast Saccharomyces cerevisiae
198 hromosome conformations, and the large-scale genomic organization is globally unaffected by the prese
199                                   CAV shares genomic organization, genomic orientation, and common fe
200             CAV shares genomic organization, genomic orientation, and common features of major protei
201      Although approximately 98% of the human genomic output is transcribed as non-protein coding RNA,
202                    TEs, generally considered genomic parasites, are the most common components of woo
203 ence sequence for breeding by inspecting the genomic partitioning of sequence variation in modern eli
204 esource for zebrafish (Danio rerio) genetic, genomic, phenotypic and developmental data.
205 ic dependencies across multiple and distinct genomic platforms.
206        We found strong evidence for the same genomic position being mutationally affected multiple ti
207 ast to genome-wide association study (GWAS), genomic prediction (GP) is typically based on models inc
208 s, using a combination of transcriptomic and genomic profiles.
209                                Comprehensive genomic profiling data in this study provide insight int
210                            We performed (epi)genomic profiling of 138 IMs from 148 cancer-free patien
211 al drivers that shape bacterial and archaeal genomic properties remain uncertain (3-7) .
212         PGBD5 was physically associated with genomic PSS sequences that were also sufficient to media
213 strand break (DSB) repair results in complex genomic rearrangements (CGRs) in many cancers and variou
214         Reasoning that insulinomas hold the "genomic recipe" for beta cell expansion, we surveyed 38
215 -SunTag-DNMT3A is able to methylate a 4.5-kb genomic region and repress HOXA5 gene expression.
216                                  The 22q11.2 genomic region is particularly susceptible to chromosoma
217 x gene family, the DNA sequence of a 1.75-Mb genomic region spanning the Gli-2 locus was analyzed in
218  artificial chromosomes (BAC) to analyze the genomic region surrounding the Eya1 locus for enhancer a
219                                              Genomic regions and candidate genes identified in the pr
220  population with future goals of identifying genomic regions associated with drought tolerance.
221 rlie phenotypic variation, and identify five genomic regions associated with tooth shape; one region
222 -wide association analysis (GWAS) identified genomic regions containing clusters of ABA-associated SN
223 nzymes, and transcription factors, reside in genomic regions devoid of methylation at any stage of se
224 namics of both repetitive and non-repetitive genomic regions in live cells.
225     We demonstrate that crossovers reside in genomic regions of "open chromatin", which were identifi
226  patients following-up on the most promising genomic regions previously reported.
227                      Our analysis defines 96 genomic regions recurrently targeted by homozygous delet
228  Using quantitative genetics, we identify 12 genomic regions that affect parental care, 8 of which ha
229   A common analysis step is to annotate such genomic regions to genomic annotations (promoters, exons
230                                     Finally, genomic regions underlying correlations among allocation
231 d sequence variants, localized to non-coding genomic regions, associated with kidney function.
232 -8), in fixed-effects meta-analysis) from 15 genomic regions, including SNPs in or near genes involve
233 a single strain with thirteen characteristic genomic regions.
234 n sequencing data often results in a list of genomic regions.
235 n but not SCNA, we describe a method termed "Genomic Regression Analysis of Coordinated Expression" (
236 e organized into functional ensembles called genomic regulatory blocks-dense clusters of elements tha
237 iverse effects on gene transcription and non-genomic regulatory pathways.
238  by opposing H3K27me3 deposition at critical genomic regulatory regions.
239                      Genetic alterations and genomic reprogramming underlie the innate and adaptive r
240                         Imaging genetics and genomics research has begun to provide insight into the
241  oligonucleotides, which limits genetics and genomics research on many species.
242 e Mango RNA-Seq Database which is a valuable genomic resource for molecular research into the biology
243    Methods MEDLINE, EMBASE, and the Decipher genomic resource information database were searched for
244 a vast increase in the amount of genetic and genomic resources available to the mental health researc
245  sustained investments in the development of genomic resources over the last two decades.
246                                  CRISPR/Cas9 genomics revealed that super-enhancer constituents act c
247 syncytial virus particles, and assembly with genomic ribonucleoproteins and caveolae-associated vesic
248 s of 23andMe (Mountain View, CA) and Pathway Genomics (San Diego, CA).
249                                              Genomic-scale sequence alignments are increasingly used
250 g a next-generation sequencing (NGS)-powered genomic scan, we show that gene transfers to the Y chrom
251 s were evaluated by clinical examination and genomic screening for mutations in SCN9A and SCN11A.
252 importance of pharmacological and functional genomic screens the readouts are of low complexity.
253 sing recombinant viruses, we identify the HA genomic segment as the mediator of cell death inhibition
254 esis permits fine-mapping of function across genomic segments.
255 ved annotations to the latest version of the genomic sequence and its annotations.
256 n-associated RNAs (caRNAs) with their target genomic sequences by proximity ligation, forming RNA-DNA
257  Here we use a library of Xenopus tropicalis genomic sequences in bacterial artificial chromosomes (B
258                                              Genomic sequences of M. tuberculosis isolates displayed
259 ons can be useful parameters for analysis of genomic sequences.
260                                      We used genomic sequencing to identify potentially pathogenic ge
261  thereby identifying highly conserved, novel genomic signatures of potential gene regulation in Trich
262 on recent timescales will also leave similar genomic signatures that reflect paleodrainage properties
263  to a select role of BRD4S-BRG1 complexes in genomic silencing of invasive retroelements.
264      The NFkappaB dimers bind to a myriad of genomic sites and switch the targeted genes on or off wi
265 which the encounter probability (EP) between genomic sites is presented in a large matrix.
266 rand displacement and flap cleavage at other genomic sites.
267 te cAMP signaling as a critical regulator of genomic stability against platinum-induced mutagenesis.
268 amentally significant role in maintenance of genomic stability through a DDR-independent pathway.
269  of recombination in finite populations: the genomic storage effect due to phenotypic plasticity.
270                                              Genomic studies have provided new insight into the demog
271                                       Recent genomic studies have unveiled the complexity of tumor he
272     Taken together with findings from recent genomic studies in humans, our findings provide addition
273 udy demonstrates the utility of rare disease genomic studies to parse gene function in human developm
274 ides a useful resource for plant comparative genomics studies and cucurbit improvement.
275 cantly expanded the database for comparative genomics studies in these bacteria.
276 e (CeNDR) to enable statistical genetics and genomics studies of C. elegans and to connect the result
277  rare event categorical data, and functional genomics studies typically study the presence or absence
278  been recently discovered through functional genomics studies.
279                         We defined two major genomic subtypes of primary stage Ta tumors.
280 tate revealing novel RNA functions and their genomic target regions.
281 hogenesis genes, including Sox17, shifts the genomic targeting of Fli1 to favour nearby Sox consensus
282 nternet support groups, uncertain results on genomic testing predicted second opinion use.
283                            In the new era of genomics, the challenging interpretation of individual g
284 research aligns with the field of functional genomics to provide insights into environmental and gene
285 hich has a large DNA genome, using synthetic genomics tools.
286     Here, we report the existence of a sharp genomic transition zone below the photic zone, where bac
287 ypotheses have been proposed to explain this genomic variability, but the fundamental drivers that sh
288 ies with BD is effective in identifying rare genomic variants of potential clinical relevance and als
289 to cancer and that which can be explained by genomic variants, both inherited and somatic.
290               We estimated that pneumococcal genomic variation accounted for 63% of the phenotype var
291 y, with taxonomic differences in patterns of genomic variation between the mafic Piccard and ultramaf
292 han ILS, explains most of the shared nuclear genomic variation between these two species and demonstr
293 transposons in the maize genome and dramatic genomic variation driven by transposons, we hypothesize
294 elying on this self-contained description of genomic variation in Next Generation Sequencing (NGS) re
295 e Mid-Cayman Rise to investigate patterns of genomic variation within subseafloor populations.
296 d and the much larger set of non-deleterious genomic variation, especially in non-coding regulatory r
297 pplied next-generation sequencing to compare genomic variations in these lines.
298 linked-read whole-genome sequencing from 10X Genomics, we document seven major SV classes at 5 kb SV
299 pare this to the only other large population genomic Wolbachia dataset from D. melanogaster.
300 sed Next Generation Sequencing (NGS) and CLC Genomics Workbench to assemble complete chloroplast geno

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