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1 ral DNA repair pathways by transcriptome and genome analysis.
2 Five potential chitinases were identified by genome analysis.
3 enome is an important challenge for personal genome analysis.
4 on the basis of ancestry derived from whole-genome analysis.
5 eat genome have been substantial barriers to genome analysis.
6 logenies congruent with those based on whole genome analysis.
7 ium (LD) blocks, genes, or pathways in whole-genome analysis.
8 r binding sites is an important challenge in genome analysis.
9 their identification remains a challenge for genome analysis.
10 nity resource for comparative and functional genome analysis.
11 n would complement other approaches to human-genome analysis.
12 r both pre-computed and user-supplied custom genome analysis.
13 iation studies and applicable to comparative genome analysis.
14 re routine clinical application of CLL whole-genome analysis.
15 escape detection with current approaches to genome analysis.
16 aleable molecular confinement approaches for genome analysis.
17 rmatics platform, with tools and viewers for genome analysis.
18 es in two closely related species in a whole-genome analysis.
19 cine max (soybean) present challenges during genome analysis.
20 es and their performance in several tasks of genome analysis.
21 me shotgun sequencing approach for microbial genome analysis.
22 ary to enable the pipeline to scale to whole-genome analysis.
23 standards that are essential for comparative genome analysis.
24 d within clade 3, based on phylogenetic core genome analysis.
25 standards that are essential for comparative genome analysis.
26 ge amounts of repetitive DNA that complicate genome analysis.
27 s represents a central focus of contemporary genome analysis.
28 quences from related species for comparative genome analysis.
29 ted by the sequence read length during whole-genome analysis.
30 ecome a very useful high throughput tool for genome analysis.
31 y high potential to become a useful tool for genome analysis.
32 allow for wide-ranging application of whole-genome analysis.
33 nd is useful both in gene-specific and whole-genome analysis.
34 ure curation, computational text mining, and genome analysis.
35 re different analytical strategies from bulk genome analysis.
36 llelization required for concurrent multiple genome analysis.
37 aching and training in the area of microbial genome analysis.
38 S) is very important for conducting in-depth genome analysis.
39 those available for multispecies comparative genome analysis, 40,224 cattle BAC clones were end-seque
41 ity and reduced costs of sequencing has made genome analysis accessible to more and more researchers.
45 ought together substantial advances in human genome analysis and a maturation of understanding of tum
47 , teaching courses and training in microbial genome analysis and analysis of genomes related to the H
48 We have addressed this disparity between genome analysis and biological evidence through a struct
54 el fish species should facilitate structural genome analysis and evolutionary studies, but more impor
55 in a sequenced genome is essential both for genome analysis and for realization of the goals of syst
57 user interface to access a number of common genome analysis and gene structure tools, preconfigured
59 genomes becomes an important goal of cancer genome analysis and investigations into mechanisms respo
62 functional variants, we employed comparative genome analysis and obtained evidence for the existence
69 ap for map-based gene isolation, comparative genome analysis, and as a source of sequence-ready clone
70 h microsatellite genotyping, a mitochondrial genome analysis, and deep sequencing of the DFTD transcr
71 ion of gene-expression profiles, comparative genome analysis, and gene-disruption assays should permi
72 l genes and presages future studies by whole-genome analysis; and (3) a functional genomics approach
73 t on several public databases and a suite of genome analysis applications are provided as exemplary g
76 dentified and many substances predicted from genome analysis are inaccessible due to their life stage
78 gned to automate the main steps in microbial genome analysis-assembly, gene prediction, functional an
79 resource on microbial and plant pathways for genome analysis, basic research, education, metabolic en
80 resource on microbial and plant pathways for genome analysis, basic research, education, metabolic en
86 f Plasmodium falciparum and subsequent whole-genome analysis can be used to find the targets of some
96 poB, sodA, and recN genes; comparative whole-genome analysis; conventional biochemical and Rapid ID 3
97 n outbreak isolates from the E. coli O104:H4 Genome Analysis Crowd-Sourcing Consortium website, and a
100 HGVA serves as a proof-of-concept of the genome analysis developments being carried out by the Un
101 psychiatric disorders are resistant to whole-genome analysis due to genetic and etiological heterogen
105 his study we performed an integrative, whole-genome analysis for discovery of epigenetically activate
106 t advances in genome sequencing, comparative genome analysis, functional genome exploration, and the
109 roduce isoprenoids from mevalonate; however, genome analysis has failed to identify several genes in
110 Within plants, this is controversial, as genome analysis has identified 56 putative GPCRs, includ
111 lution; however, the full potential of whole-genome analysis has not been realized because of inadequ
115 phenotype annotation followed by individual genome analysis has the potential to identify genetic mo
116 thods successfully exploited for prokaryotic genome analysis have proved difficult to apply to eukary
118 C region was highly congruent with the whole-genome analysis; hence, sequencing of just this one regi
127 pidly advance to become platforms capable of genome analysis if elements of a nascent system can be i
128 Computation may become the bottleneck of genome analysis if growing alignment costs are not mitig
131 ed at Argonne National Laboratory, for whole genome analysis in a platform designed to better match c
135 approaches to accelerate gene discovery and genome analysis in maize: methylation filtration and hig
146 ic predictions on the scale needed for whole-genome analysis is, however, extremely computationally d
149 ntative prokaryotes and eukaryotes and a new genome analysis method that makes it possible to reconst
151 developments in sequencing technologies and genome analysis methods for application in personalized
153 hway knowledge to support genome annotation, genome analysis, modeling, systems biology, basic resear
154 pathway knowledge to support basic research, genome analysis, modelling, systems biology and educatio
163 nt fC-CET, a bisulfite-free method for whole-genome analysis of 5fC based on selective chemical label
172 irst report of transcriptome and chloroplast genome analysis of any Anacardiaceae family member.
174 ctive ligninolysis, we conducted comparative genome analysis of C. subvermispora and P. chrysosporium
175 tion sequencing techniques which allow whole genome analysis of chromatin structure and sequence-spec
182 croarray analysis to provide the first whole-genome analysis of genes regulated by ATF4 in cancer cel
184 in this study) was used for systematic whole-genome analysis of Halobacterium sp. NRC-1 and several o
185 e explained by markers was 0.06 in the whole genome analysis of IBK incidence classified as two, thre
186 genomic islands (RDIs), using a comparative genome analysis of meningitis-causing E. coli K1 strain
193 genome (~8 Gb) and its regional importance, genome analysis of rye has lagged behind other cereals.
196 ding was mirrored by data obtained from full-genome analysis of strains sequentially cultured from no
198 to presenting results of the first complete-genome analysis of the breakthrough infections in the RV
199 ned molecular analyses and comparative whole genome analysis of the most diverse of the bullfrog stra
209 on of enzymatic sequences in newly sequenced genomes, analysis of organism-specific metabolic network
210 enables estimation of the divergence between genomes, analysis of their evolution and detection of pa
211 g bacterial infection, we performed complete genome analysis on three newly isolated multidrug-resist
212 ntified polymorphisms is too small for whole genome analysis or studies of quantitative trait loci.
214 mining pipeline, Integrative Next-generation Genome Analysis Pipeline (inGAP), guided by a Bayesian p
221 , as genomic technologies move towards whole-genome analysis, policy arguments for patent protection
224 e of the major findings of ENCODE, and other genome analysis projects, is that the human transcriptom
225 oduct was achieved by using a combination of genome analysis, promoter exchange, isotopic labeling ex
226 reesei in its competitive soil habitat, but genome analysis provided little mechanistic insight into
228 nch of chordopoxvirus so far discovered, the genome analysis provided substantial insight into the ev
230 didate genes made available by comprehensive genome analysis requires that relatively rapid technique
242 uences already existing in public databases, genome analysis reveals a significantly higher degree of
244 ult to characterize, but this is changing as genome analysis reveals their genes, and methylome analy
250 lt to identify by other approaches to cancer genome analysis, such as downstream targets of commonly
254 of optical mapping, a single-molecule, whole-genome analysis system, to discover new structural varia
255 Here we develop a computational approach to genome analysis that searches for widely separated genes
256 high-throughput method for single-cell whole-genome analysis that was used to measure the genomic div
258 detailed view of the current state of human genome analysis through a focus on one large gene family
259 is study demonstrates the necessity of whole-genome analysis to complement population/gene-based stud
261 To fill this void, we utilize comparative genome analysis to identify candidate enhancer elements
263 y, we combined a public health approach with genome analysis to provide insight into the correlation
266 variant quality score recalibration from the Genome Analysis Tool Kit and the RNA-seq variant-calling
267 e2, and Novoalign--and four variant callers--Genome Analysis Tool Kit HaplotypeCaller (GATK-HC), Samt
269 rform as well or better than the widely used Genome Analysis Toolkit (GATK) in all key measures of pe
271 ive different variant detection programs-The Genome Analysis Toolkit (GATK), CRISP, LoFreq, VarScan,
272 processed by standard read aligners and the Genome Analysis Toolkit (GATK), longer indels have still
273 es by synthesizing variant features from the Genome Analysis Toolkit and allele dosage information.
276 lication of these tools, instantiated in the Genome Analysis Toolkit, to deep whole-genome, whole-exo
278 equences provide templates for the design of genome analysis tools in orphan species lacking sequence
279 Its design allows the development of novel genome analysis tools, such as the Resistance Gene Ident
280 everal well-established and freely available genome-analysis tools, and outputs the most likely causa
281 stent with those obtained from computational genome analysis, two-dimensional gel electrophoresis, an
285 eration approach for noninvasive fetal whole-genome analysis was validated in a pregnancy diagnosed w
288 t overcoming the existing limitations in CLL genome analysis, we have analyzed high-purity DNA isolat
289 y combining this approach with computational genome analysis, we identified hts (heme transport syste
293 s been designed as a powerful tool for whole genome analysis which offers multiple advantages: one ca
294 nonmodel species such as catfish, functional genome analysis will have to rely heavily on the establi
296 th "paired-end" methods, has enabled a whole-genome analysis with essentially unlimited resolution.
297 echococcus sp. WH8102, through a comparative genome analysis with two other cyanobacterial genomes, P
298 y of RCA-RCA make it a powerful new tool for genome analysis with unique advantages over previous amp
299 this problem by a combination of comparative genome analysis with verification experiments in the mod
300 trics have recently been used in comparative genome analysis, yet challenges remain in finding an app
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