戻る
「早戻しボタン」を押すと検索画面に戻ります。 [閉じる]

コーパス検索結果 (1語後でソート)

通し番号をクリックするとPubMedの該当ページを表示します
1 ing the TOFT offer new perspectives on basic biological phenomena.
2 odification of RNA affects a wide variety of biological phenomena.
3 r physics as well as in the visualization of biological phenomena.
4 solution enable new understanding of complex biological phenomena.
5 tworks of biochemical processes shape larger biological phenomena.
6 ' conjunctions that account for the observed biological phenomena.
7 ong animal species and that regulate diverse biological phenomena.
8  in order to describe and understand complex biological phenomena.
9 terials can allow label-free observations of biological phenomena.
10 odel systems for the study of membrane-based biological phenomena.
11 al--which differ in their representations of biological phenomena.
12 of executable computer algorithms that mimic biological phenomena.
13 lavin cofactor that is involved in a host of biological phenomena.
14 k internal organization and interesting cell biological phenomena.
15 g frames exemplify some of the most striking biological phenomena.
16  that is now known to underlie many distinct biological phenomena.
17 tochastic behavior that is essential to many biological phenomena.
18 l spatially explicit mathematical models for biological phenomena.
19 -absorbing proteins involved in a variety of biological phenomena.
20 g data prior to investigating the underlying biological phenomena.
21  as a qualitative mathematical model of some biological phenomena.
22  is critical to the understanding of complex biological phenomena.
23 ly of secreted factors implicated in diverse biological phenomena.
24  is a central goal in mechanistic studies of biological phenomena.
25 uent initiation of transcription are complex biological phenomena.
26      Macromolecular interactions define many biological phenomena.
27 mulated considerable interest regarding this biological phenomena.
28 l datasets to gain new insights into complex biological phenomena.
29 s, with the express intent of recapitulating biological phenomena.
30 enes that collectively give rise to emergent biological phenomena.
31  acid (RNA)-sequencing data in time-resolved biological phenomena.
32 show that sGES are useful for characterizing biological phenomena.
33 n is a powerful tool for genetic analysis of biological phenomena.
34 lecules and are involved in a broad range of biological phenomena.
35 e-cell imaging is necessary to study complex biological phenomena.
36 our ability to document, measure, and detect biological phenomena.
37 igh-throughput quantitative imaging to study biological phenomena.
38 posing challenges in accurately representing biological phenomena.
39 ritical to accelerating progress in modeling biological phenomena.
40 nteractions relevant to various chemical and biological phenomena.
41 producibility to characterize as-yet unknown biological phenomena.
42  of multiple genes underlies complex complex biological phenomena.
43 ular events offers fundamental insights into biological phenomena.
44 he physical basis of a series of fundamental biological phenomena.
45 d deriving mechanistic insights into complex biological phenomena.
46 ecular interactions required for macroscopic biological phenomena.
47 ypes of measurements associated with complex biological phenomena.
48 nto a better understanding of the underlying biological phenomena.
49  up new avenues for investigating high-speed biological phenomena.
50 formation is crucial to our understanding of biological phenomena.
51 posttranscriptional regulatory mechanisms of biological phenomena.
52 core distributions that were consistent with biological phenomena.
53 onomic species, data streams, timescales and biological phenomena.
54 ive understanding of physical, chemical, and biological phenomena.
55 tious goal: to study fundamental cross-scale biological phenomena.
56 al product synthesis in the discovery of new biological phenomena.
57 ut the phenotype, is widely used to describe biological phenomena.
58 tic nucleus and is the substrate for diverse biological phenomena.
59  discover both technical artifacts and novel biological phenomena.
60 sical forces driving a range of chemical and biological phenomena.
61 itro and in vivo study of these classic cell biological phenomena.
62  of prokaryotes, and control a wide range of biological phenomena.
63 enables the prediction of yet-to-be observed biological phenomena.
64 logies has brought new insights into complex biological phenomena.
65 vided a revolutionary approach to dissecting biological phenomena.
66 e evolution, sexual selection and many other biological phenomena.
67 d a wide spectrum of physical, chemical, and biological phenomena.
68 alent macromolecular complexes controls many biological phenomena.
69 test, document and use their code to explore biological phenomena.
70 is a powerful tool for understanding complex biological phenomena.
71 technologies for the quantitative imaging of biological phenomena.
72 h for identifying genes essential to defined biological phenomena.
73 ethylation has been linked to many important biological phenomena.
74 crucial step in understanding the underlying biological phenomena.
75  with characteristics that are closer to the biological phenomena.
76 g measurements of previously uncharacterized biological phenomena.
77 ractions are of utmost importance in several biological phenomena.
78 elationships to each other and to underlying biological phenomena.
79 sequence-specific manner, to mediate complex biological phenomena.
80 d in a wide range of physical, chemical, and biological phenomena.
81                    Despite its importance in biological phenomena, a comprehensive understanding of t
82                  Integration of a variety of biological phenomena about hybrids across diverse sexual
83 testing requires meaningful ways to quantify biological phenomena and account for alternative mechani
84 nd general approach for interpreting complex biological phenomena and can be applied to a wide range
85 ditionally, specific limitations of assaying biological phenomena and comparing fundamentally differe
86 nscription factor components associated with biological phenomena and disease.
87 s for the bioengineering of stress-triggered biological phenomena and drug delivery systems.
88 o be related to any aspect of the underlying biological phenomena and help interpret them.
89 hich may help further understand fundamental biological phenomena and inform pathological treatments.
90 ating the metabolic underpinnings of complex biological phenomena and is increasingly being applied t
91 es, which play an important role in numerous biological phenomena and make them important materials f
92 ) are highly effective in describing complex biological phenomena and processes, such as cell differe
93  of the mechanisms that underlie interesting biological phenomena and provide novel insights into the
94 ingly prominent role in the discovery of new biological phenomena and the elucidation of molecular me
95  experimentation in discovering RNA-directed biological phenomena and the importance of robust assay
96 med materials is essential for understanding biological phenomena and their enviro-nment, and for gen
97       Gene regulatory elements drive complex biological phenomena and their mutations are associated
98 hat can be used to understand the underlying biological phenomena, and a smaller test signature that
99  Programmed cell death regulates a number of biological phenomena, and the apoptotic signal must itse
100             Peptides play essential roles in biological phenomena, and, thus, there is a growing inte
101          Several disease states and enhanced biological phenomena are associated with increased STIM1
102                             Central to these biological phenomena are heme proteins, giving credence
103                                        These biological phenomena are particularly suited to be captu
104 tein structure and interactions if important biological phenomena are to be properly captured.
105 uccessfully used to understand other complex biological phenomena, are beginning to reveal important
106 ice, while paramount for understanding basic biological phenomena, are limited in modeling complex di
107 y essential biological roles in such diverse biological phenomena as cellular adhesion, molecular rec
108 l models of systems biology describe dynamic biological phenomena as solutions to ordinary differenti
109 nown to play important roles in such diverse biological phenomena as surface adhesion, motility, and
110  Fluorescence nanoscopy enables the study of biological phenomena at nanometer scale spatial resoluti
111 lent vertebrate model for in vivo imaging of biological phenomena at subcellular, cellular and system
112 o-to technique for researchers investigating biological phenomena at the cellular and subcellular lev
113                                      Linking biological phenomena between vastly different spatiotemp
114  accurate prediction of diverse and abstract biological phenomena, beyond the predictivity of traditi
115 tudies are paramount for understanding basic biological phenomena but also have limitations.
116           Sleep is one of the most pervasive biological phenomena, but one whose function remains elu
117  be considered for the full understanding of biological phenomena, but the available information on p
118 ts have been helping us to get deeper inside biological phenomena by illuminating how individual mole
119  cells have revolutionized interpretation of biological phenomena by providing cellular landscapes of
120 ays can accurately reproduce a wide range of biological phenomena by reducing detailed chemical kinet
121  a single format onto which a broad range of biological phenomena can be projected for high-throughpu
122 e more meaningful hypotheses to describe the biological phenomena captured by high throughput experim
123 ith the goal of understanding the underlying biological phenomena characterizing the given phenotype.
124 ived in the explanation of a wide variety of biological phenomena, chiefly the evolution of biologica
125     Despite broad interest in characterizing biological phenomena, electron beam-induced damage remai
126  metabolomic approaches in elucidating novel biological phenomena, especially when coupled to validat
127 ential for understanding the complexities of biological-phenomena, especially with regards structural
128 o be standardized to take account of dynamic biological phenomena evolving early after the index isch
129    Bird migration is one of the most amazing biological phenomena exhibited by organisms today, with
130 rbal hypotheses meant to explain why certain biological phenomena exist.
131                                     Taxa and biological phenomena for which our current understanding
132 ots are very important to intuitively reveal biological phenomena from capture-based sequencing data
133 feature of life that affects a wide range of biological phenomena, from developmental plasticity to t
134                                 A variety of biological phenomena, from disease progression to stem c
135                                              Biological phenomena, from enzymatic catalysis to synapt
136 cessfully explained the organization of many biological phenomena, from the physiology of sensory rec
137 ding and unfolding are coupled to a range of biological phenomena, from the regulation of cellular ac
138             It collapsed a multi-dimensional biological phenomena (gait) into a single score by encod
139 l biomaterials to study complex and emergent biological phenomena has also thrived rapidly in recent
140  interest in exploring mechanically mediated biological phenomena has resulted in cell culture substr
141 n certain histone modifications and distinct biological phenomena have now been established, concepts
142  conceptual parallels between the respective biological phenomena, highlighting important interrelati
143 d have been implicated in regulating various biological phenomena; however, the detailed signaling me
144  potential to help interpret and encapsulate biological phenomena in a computable and reproducible fo
145 icroarrays allow researchers to characterize biological phenomena in a high-throughput fashion but ar
146 r organism is paramount to better understand biological phenomena in animal health and disease.
147  Perspective, I provide a broad view of cell biological phenomena in bacteria, the technical challeng
148  master equation find use in the modeling of biological phenomena in cells, where they provide more a
149          This longitudinal study of emergent biological phenomena in complex microenvironments repres
150 s particularly relevant for interrogation of biological phenomena in data derived from complex matric
151 nd develop computational approaches to model biological phenomena in four dimensions.
152 our understanding of numerous behavioral and biological phenomena in humans.
153 ntial for exploring underlying mechanisms of biological phenomena in many areas of biomedical researc
154 within nanospaces offers new perspectives on biological phenomena in nature and opens the way to high
155 logical measurement is to capture underlying biological phenomena in numerical form.
156 tunities for unbiased investigation of novel biological phenomena in situ.
157        Consciousness thus differs from other biological phenomena in that it has a subjective or firs
158 g for the investigation of several important biological phenomena in this organism.
159 ging can facilitate understanding of complex biological phenomena in vivo, current imaging modalities
160 hod should be valuable for rapidly profiling biological phenomena in vivo.
161  cell migration, which is central to diverse biological phenomena including angiogenesis, wound heali
162 lasmic polyadenylation is important for many biological phenomena including cell cycle progression, m
163 cascade that has been implicated in multiple biological phenomena including innate immunity and the p
164 h amyloid fibrils is related to a variety of biological phenomena, including a number of human neurod
165 related protein family members underlie many biological phenomena, including cell-cell recognition.
166 y, the role of motility in promoting diverse biological phenomena, including dispersal, phototaxis, b
167 bination is responsible for a broad range of biological phenomena, including DNA inversion, resolutio
168 ollusks that exhibit an array of interesting biological phenomena, including dynamic camouflage, comp
169 implicated in the regulation of a variety of biological phenomena, including endogenous lectin recogn
170  the molecular mechanisms that underlie many biological phenomena, including protein folding and enzy
171 s may shed light on a variety of fundamental biological phenomena, including the evolution of sex, th
172 cascade that has been implicated in multiple biological phenomena, including the pathogenesis of some
173                                         Many biological phenomena involve the binding of proteins to
174  of genes into a better understanding of the biological phenomena involved.
175 evelopment, and the models may also apply to biological phenomena involving propagation through tethe
176 g new insights into the intricate details of biological phenomena involving proton translocation.
177 gical research, but the extent of observable biological phenomena is essentially determined by the co
178 twork biology is useful for modeling complex biological phenomena; it has attracted attention with th
179            We show that the study of complex biological phenomena like HRV requires a framework which
180 We show that these methods uncover disparate biological phenomena: long-range interactions between te
181 common structural link between two important biological phenomena, microtubule dynamic instability an
182 Signal processing is critical to a myriad of biological phenomena (natural and engineered) that invol
183 d that focuses on systems-wide depictions of biological phenomena necessarily sacrificing a detailed
184 smembrane proteins is central to a number of biological phenomena, notably the gating of stretch acti
185  Aging and limited life span are fundamental biological phenomena observed in a variety of species [1
186                A better understanding of the biological phenomena observed in cells requires the crea
187                                          All biological phenomena occurring at different levels of or
188 0, while also allowing users to readily view biological phenomena of interest from multiple perspecti
189 derations: the lineal scope encompassing the biological phenomena of interest, and the optimal specie
190 nvolved in various genetic, biochemical, and biological phenomena of the virus.
191 en copy number signatures were attributed to biological phenomena of whole-genome doubling, aneuploid
192                           Studies on complex biological phenomena often combine two or more imaging t
193 latent structures that may give insight into biological phenomena or abstract mechanics of complex sy
194                            In order to study biological phenomena or cellular interactions over time,
195    Whether applied to the multiple levels of biological phenomena or the intact human being, our abil
196                      Like many other complex biological phenomena, pain is starting to be studied at
197                         Previously linked to biological phenomena, physical interactions leading to S
198 otein sidechains, which may be used to probe biological phenomena, protein structures and/or protein-
199                                          Few biological phenomena provide such an elegant and straigh
200 luding DinB, have been implicated in diverse biological phenomena ranging from adaptive mutagenesis i
201 me that is essential for a number of diverse biological phenomena ranging from antibody diversificati
202  Cooperative interactions are key to diverse biological phenomena ranging from multicellularity to mu
203 n implicated in a wide spectrum of important biological phenomena, ranging from early organismal deve
204 compounds that have been used to interrogate biological phenomena: reactive oxygen species (ROS) sens
205 crucial because they facilitate more complex biological phenomena related to important disease states
206           Many analyses for the detection of biological phenomena rely on a multiple sequence alignme
207          To gain an understanding of broader biological phenomena, researchers have until recently be
208 of protein folding and its relevance to some biological phenomena, site-specific information on the s
209 y binding provides the basis for fundamental biological phenomena such as allosterism, signal transdu
210              Through this, we isolate unique biological phenomena such as alteration of the peptide p
211 d transcriptome data to characterize various biological phenomena such as cis-regulatory variation an
212 h the explanation of several well-documented biological phenomena such as dendritic democracy, multip
213 (TNs) is essential for understanding complex biological phenomena such as development, disease, and e
214    Directed cell motility is at the basis of biological phenomena such as development, wound healing,
215 ted its predictive power in modeling complex biological phenomena such as gene expression.
216 specially problematic when accommodating for biological phenomena such as horizontal gene transfer, i
217 been shown to be involved in a wide range of biological phenomena such as protein half-life regulatio
218 aneous multichannel measurements of distinct biological phenomena such as receptor tyrosine kinase ex
219 encies over time subject to the influence of biological phenomena such as selection, mutation and gen
220 nia as a model system for research on unique biological phenomena such as small RNAs, symbiosis, self
221 trices offers a chemical strategy to control biological phenomena such as stem cell differentiation a
222 an external chemical gradient occurs in many biological phenomena such as wound healing, angiogenesis
223  multifunctional proteins regulating diverse biological phenomena, such as aging, immunity, proteosta
224 chers to better correlate changes in TADs to biological phenomena, such as enhancer-promoter interact
225 s been the preferred explanation for certain biological phenomena, such as extreme genetic diversity
226 ells, involved in numerous calcium-regulated biological phenomena, such as synaptic plasticity, muscl
227 controlling their reactivity in chemical and biological phenomena, such as the formation of ionic sol
228 nthesis are included in full detail, several biological phenomena, such as the increasing peptide elo
229 s with precision, (iii) quickly identify the biological phenomena that a given curated model or model
230  the more recent push to expand the scope of biological phenomena that can be monitored using these r
231 ne transfer constitute examples of pervasive biological phenomena that cannot be captured by tree-lik
232                                    Among the biological phenomena that fall within the emerging field
233  analyze the biochemical, mass transfer, and biological phenomena that govern the system.
234             Our model may thus be applied to biological phenomena that involve DNA-binding proteins,
235                              Two significant biological phenomena that involve stem cells are the ine
236 ning to offer new insights into higher-level biological phenomena that previously occupied the realm
237 n plays a critical role in many physical and biological phenomena that range from crystallization, me
238 tion thus promises new insights into complex biological phenomena that require 4D subcellular spatiot
239 antially advance ultrastructural analysis of biological phenomena that require cell- and tissue-level
240                        Furthermore, we image biological phenomena that would be otherwise challenging
241 merous other groups studying a wide range of biological phenomena, the roles of Cdc42p in intracellul
242  signal transduction of an enormous array of biological phenomena, thereby serving to modulate at a m
243             The method is validated on eight biological phenomena, three synthetic datasets and five
244       The Wnt/Wg pathway controls myriads of biological phenomena throughout the development and adul
245  of epigenetics from a collection of curious biological phenomena to a functionally dissected researc
246    We also discuss the consequences of these biological phenomena to the development of non-infectiou
247 rvival metrics could be driven by underlying biological phenomena, tumor location or microenvironment
248  goal of any experiment is to understand the biological phenomena underlying the condition investigat
249    Partial hepatectomy triggers a variety of biological phenomena, which culminate in regeneration of
250                    Understanding actin-based biological phenomena will depend on identifying the part
251 ethod before relating chromatin structure to biological phenomena will ensure that hypothesized corre
252 overy and quantitative classification of new biological phenomena with an open data format accessible
253 t near-atomic resolution (3-4.5A), providing biological phenomena with molecular descriptions.
254 ed us understand macromolecular assembly and biological phenomena, yet few attempts have been made to

 
Page Top