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1 volutional, and pathological significance in genome analyses.
2 allenge to the inference of SCNAs for cancer genome analyses.
3 g terra incognita of gene networks and whole genome analyses.
4 -wide association studies to somatic (tumor) genome analyses.
5 NA sequences in Lp than predicted by the pan-genome analyses.
6 ion-quality graphics focused on cohort level genome analyses.
7 based on rules deduced from published whole-genome analyses.
8 es of regulatory proteins identified through genome analyses.
9 owledge of the SAC and extensive comparative genome analyses.
10 performed at baseline for exploratory whole-genome analyses.
11 m the 2000 outbreak to allow for comparative genome analyses.
12 ight be critically important for large-scale genome analyses.
13 losed genomes were obtained and allowed full genome analyses.
14 nment method used for performing comparative genome analyses.
15 methods are an important component of whole genome analyses.
16 of nitrite reductase and a bc1 complex using genome analyses.
19 s, has proven a valuable tool in comparative genome analyses, aiding the annotation of mammalian geno
22 es (all but nuclear rDNA) and combined three-genome analyses also suggest or strongly support Gnetale
24 e events have been identified by traditional genome analyses and continue to be revealed as genome-sc
28 ed the 24 genes previously observed by whole genome analyses and verified by Q-PCR in autoimmune diab
31 ground for interpreting the results of human genome analyses associating polymorphisms with memory de
33 map produced will become the foundation for genome analyses based on chromosome identity and structu
35 uctive platform for implementing large-scale genome analyses, but efficiently utilizing large cluster
36 how more comprehensively sampled chloroplast genome analyses can be used in understanding chloroplast
39 This work emphasizes the utility of whole-genome analyses combined with immunologic investigation
42 ate immunity through the lens of comparative genome analyses coupled with structural biology and bioc
49 on dynamics and highlights the importance of genome analyses for a better control of pathogen transmi
51 ponential growth of data, largely from whole-genome analyses, has changed the way biologists think ab
54 dvances provided by the development of whole genome analyses have led to an appreciation of the globa
55 echnology advances and high-resolution human genome analyses have revealed that complex genomic rearr
61 ivers, we performed RNA sequencing and whole-genome analyses in a large cohort of unresolved B-ALL.
66 unexpected finding emerging from large-scale genome analyses is that prokaryotes express ion channels
73 mplications of these findings to personalize genome analyses of an individual patient's tumor are als
80 -throughput, quantitative and cost-effective genome analyses of individual cells and extracellular pa
85 gies, we were able to perform in-depth whole genome analyses of representatives of these three dietar
87 maize (Zea mays) genome, we performed whole-genome analyses of several heterochromatic features: dim
92 gion was informed by comprehensive in silico genomes analyses of Xav and other closely related Xantho
94 ith S. cerevisiae and Caenorhabditis elegans genome analyses, our data suggest that natural selection
95 erC-like protein family identified from EHEC genome analyses, PerC1 (also termed PchABC), can also ac
99 ar eukaryote Trichomonas vaginalis, although genome analyses reveal that only approximately 75% of pr
104 and roots integrated with MIA profiling and genome analyses revealed several candidates in the MIA b
106 obtained by antibiotic treatment as well as genome analyses revealed that highly cytotoxic macrolact
110 equencing (WGS) permits comprehensive cancer genome analyses, revealing mutational signatures, imprin
112 rapidly becoming standard practice in cancer genome analyses, standards for evaluating them are lacki
114 lele frequency, haplotype-based, and ancient genome analyses suggest that although Sardinia and Corsi
120 e models (GEMs) now enable us to develop pan-genome analyses that provide mechanistic insights, detai
121 of scientific inquiry has shifted from whole-genome analyses to an understanding of cellular response
122 Widespread implementation of high-resolution genome analyses to detect de novo copy-number variation
124 research directions, focusing on the use of genome analyses to reveal mechanisms that initiate and s
127 e these data more accessible for comparative genome analyses, we have developed novel search algorith
131 ome and forms the basis of a series of whole genome analyses which address questions regarding gene d