ライフサイエンスコーパス: biologist

1 007, this field remained in the hands of RNA biologists.

2 which has been challenging for evolutionary biologists.

3 nment is an indispensable tool for molecular biologists.

4 biogeographers, ecologists, and evolutionary biologists.

5 s a difficult object to study for structural biologists.

6 ructure, providing a new tool for structural biologists.

7 ar, easily accessed program for chemists and biologists.

8 ods and tools currently available to systems biologists.

9 great interest for both winemakers and plant biologists.

10 ftware arsenal now available to evolutionary biologists.

11 entially all eukaryotes studied by molecular biologists.

12 are often viewed as a nuisance by molecular biologists.

13 ime has been a major technical challenge for biologists.

14 is knowledge in databases for easy access by biologists.

15 ion of phylogenetic data by the community of biologists.

16 te the use of docking programs by structural biologists.

17 and the red pandas is of great interests to biologists.

18 tial interest to clinicians and evolutionary biologists.

19 o reduce the high mental workload imposed on biologists.

20 t day ecological patterns has long intrigued biologists.

21 eb portal, a rich resource for developmental biologists.

22 a useful in vivo model system for many cell biologists.

23 imic is a major challenge posed by synthetic biologists.

24 ill provide an efficient tool for structural biologists.

25 , yielding crucial information for molecular biologists.

26 throughput data in a format familiar to many biologists.

27 ate reuse of scRNA-seq data by computational biologists.

28 tely become a prominent target for synthetic biologists.

29 need for bioinformaticians and computational biologists.

30 e transcripts faster and more convenient for biologists.

31 t interest to crop breeders and evolutionary biologists.

32 indicates that our visual approach can help biologists: 1) visualize probabilities of stable states,

33 e has been a decades-long debate among islet biologists about whether metabolic oscillations are intr

34 It is therefore vital that research biologists acquire the necessary skills during their tra

35 Synthetic biologists aim to construct novel genetic circuits with

36 Systems biologists aim to decipher the structure and dynamics of

37 asing interest to mathematical modellers and biologists alike.

38 Inspired by nature, synthetic biologists also seek to encapsulate engineered metabolic

39 truct incremental views that further reflect biologists' analytical process.

40 iew bubbles interface is designed to support biologists' analytical tasks by letting users construct

41 ed recently, that would prove of interest to biologist and therapist to get real time informatics nee

42 gated proteins by pathologists and molecular biologists and a disease of clinical symptoms by neurolo

43 ps in T cell activation have thus fascinated biologists and are among the best-studied models of cell

44 from structural biologists to computational biologists and beyond.

45 gy has rapidly changed the landscape for how biologists and bioengineers study and manipulate the gen

46 NEAT provides biologists and bioinformaticians with a robust, efficien

47 l Ontology has brought together experimental biologists and biomedical ontologists to discuss solutio

48 Ecologists, evolutionary biologists and biomedical researchers are investing grea

49 cts of cell nuclei present a new frontier to biologists and biophysicists.

50 a highly cost-effective and robust tool for biologists and breeders to allow identification of novel

51 Biologists and chemists have put forth a lot of effort t

52 GDISC allows biologists and clinicians to interactively explore the g

53 al discipline), but also fully integrate the biologists and clinicians with these computer scientists

54 a an interactive user interface designed for biologists and data scientists.

55 methodology between evolutionary/organismal biologists and developmental geneticists often preclude

56 q represents an easily approachable tool for biologists and engineers to uncover relationships betwee

57 The collaboration consists of teams of biologists and engineers working together.

58 res no special equipment, allowing synthetic biologists and general users to evolve improved biomolec

59 diverse communities of clinicians, molecular biologists and genome scientists, as well as by students

60 rk propagation by putting it in the hands of biologists and linking it to the many other types of net

61 Biologists and managers therefore must determine the bes

62 ach highlights a unique opportunity for both biologists and material scientists, where new questions

63 The gecko adhesion system fascinates biologists and materials scientists alike for its strong

64 e to intricate patterns that have fascinated biologists and mathematicians alike for hundreds of year

65 big data problem that precludes many cancer biologists and oncologists from gleaning knowledge from

66 ely-available program can be broadly used by biologists and psychologists to accelerate neurological,

67 cal aspects of the radical-pair mechanism to biologists and the biological and chemical aspects to ph

68 e Association of Early Career Cancer Systems Biologists and the National Cancer Institute of the NIH,

69 ium provides a much-needed resource for cell biologists and the palmitoylation field, providing new p

70 of a skilled electrophysiologist, molecular biologist, and biostatistician.

71 ps using pair analytics with a computational biologist, and evaluating those alternatives with hour-l

72 Physical-chemists, (micro)biologists, and ecologists need to conduct meaningful ex

73 fundamentally important resource for muscle biologists, and help to lay the foundation for entirely

74 s receiving a growing appreciation among the biologists, and many plasticity-specific concepts have b

75 what might lie ahead for medicinal chemists, biologists, and physicians as they try to improve analog

76 n from images that are routinely acquired by biologists, and provides insights - in particular with r

77 roup of pediatric oncologists, pathologists, biologists, and radiologists convened during and after t

78 popular with some conservationists, invasion biologists, and stakeholders.

79 r challenge in modern genomic science, where biologists are frequently trying to characterize many mi

80 Developmental, stem cell and cancer biologists are interested in the molecular definition of

81 ical studies and, as a result, developmental biologists are once again exploring the chemical and ene

82 on analysis functions needed by experimental biologists are still not adequately addressed by these t

83 CoeViz also can serve computational biologists as a resource of coevolution matrices, e.g.,

84 boration between disease specialists and RNA biologists as we envision a future in which neurodegener

85 They have attracted the interest of biologists as well as medical researchers due to their r

86 h the bioinformatician and the computational biologist, as well as a computational support for the ex

87 genome assembly remains inaccessible to many biologists because of its complexity.

88 ce, glyptodonts have fascinated evolutionary biologists because of their remarkable skeletal adaptati

89 dynamics have not yet been widely applied by biologists because of their technical complexity.

90 n was once considered an essential skill for biologists, because text alone often could not suffice t

91 es, creating a new phase space for synthetic biologist, biotechnologist, and DNA nanotechnologists to

92 climate change is an important challenge to biologists, both for understanding the consequences of d

93 he rapid adoption of single-cell genomics by biologists, BTR has the potential to make an impact acro

94 y of newly evolved genes has long fascinated biologists, but large-scale studies of their expression

95 care in animal evolution has long fascinated biologists, but tracing this complex of behavioural repe

96 overhead, lowering the barrier of entry for biologists by automating data processing steps needed fo

97 and use of chemical probes, and suggest how biologists can and should be more discriminating in the

98 oaches in biology and how cell and molecular biologists can best take advantage of them.

99 (or transcription) detection methods so that biologists can choose the most suitable tools to accompl

100 By improving computational efficiency, biologists can feasibly solve more complex tasks, ask mo

101 In all of these efforts, cell biologists can play a leading role.

102 Biologists can use either MeSH terms as queries or the M

103 s underpinning cellular responses; synthetic biologists can use this insight to alter existing networ

104 This has brought together biologists, chemists, engineers, physicists, and mathema

105 These developments will benefit biologists, chemists, physicists, and materials scientis

106 The database is expected to help biologists choosing models when studying the mechanisms

107 To study the origin of life, synthetic biologists construct simple 'protocells', but previous m

108 Computational biologists daily face the need to explore massive amount

109 Biologists do not fully understand how teeth and taste b

110 lly not the first choice for many structural biologists due to its limited resolution in the range of

111 t has gone largely unnoticed by conservation biologists during an era in which, ironically, transboun

112 uence-based protein annotation for molecular biologists, e.g., for identifying putative functional cl

113 Biologists, educators and outreach specialists can inter

114 y-step guide to computing workflows with the biologist end-user in mind.

115 The origin of flowers has puzzled plant biologists ever since Darwin referred to their sudden ap

116 Even computational biologists find it unexpectedly difficult to reproduce r

117 Biologists find the trees constructed by hierarchical cl

118 miTRATA's strengths lie in (i) its biologist-focused web interface, (ii) improved scalabili

119 d springs to life, has been a focus of plant biologist for many years, yet the early events following

120 latworms) have captivated the imagination of biologists for centuries.

121 ogical properties have inspired chemists and biologists for decades.

122 ant abundance change is very advantageous to biologists for developing early disease diagnosis biomar

123 Biological pathways have been used by biologists for many years to describe the detailed steps

124 ipid rafts, have been highly debated by cell biologists for many years.

125 ar patterning in plants has interested plant biologists for many years.

126 Hence, growing demand by cell biologists for organ-specific extracellular mimics has l

127 vigor and hybrid inferiority, has interested biologists for over a century and is of considerable agr

128 ganization that has fascinated and perplexed biologists for over a century, and provides valuable ins

129 s in early branching vertebrates has puzzled biologists for over a century.

130 has stimulated the interest of chemists and biologists for over a half century.

131 n unmet demand from structural and molecular biologists for software in the middle ground, which woul

132 With its increased popularity, experimental biologists frequently acquire large sequencing datasets

133 vailable modelling framework that includes a biologist-friendly pathway modelling language (mEPN), a

134 h is general enough to be implemented within biologist-friendly software frameworks such as Virtual C

135 epigenomics and transcriptomics data using a biologist-friendly web interface, without the need for p

136 We developed BioPartsBuilder as a biologist-friendly web tool to design biological parts t

137 The recent shift of computational biologists from bioinformatics service providers to lead

138 n constantly updated to satisfy the needs of biologists from different research areas.

139 ms and specialized skills has inhibited many biologists from pursuing new microfluidic innovations.

140 g transcription factor networks often hinder biologists from relating these results to their expertis

141 On 18th July 2016, stem cell biologists gathered in Cambridge for the 5th annual Camb

142 However, the model organisms cell biologists generally use include only a tiny fraction of

143 Although adoption among biologists has been steady, LSFM has not displaced more

144 Some biologists have abandoned the idea that computational ef

145 For over 50 years, biologists have accepted that all extant snakes share th

146 uits with novel parts and modules, synthetic biologists have adapted living systems into vibrant subs

147 Synthetic biologists have applied engineering concepts to biologic

148 d with the synthetic tools in hand, chemical biologists have become key players in efforts toward und

149 Since Darwin, biologists have been struck by the extraordinary diversi

150 Prize has drawn attention to these methods, biologists have begun adopting SRM to address a wide ran

151 Synthetic biologists have begun to focus their biomolecular engine

152 To this end, synthetic biologists have built new sensory systems, cellular memo

153 ow into global cellular state, computational biologists have eagerly attacked the problem of mapping

154 Algal biologists have embraced this paradigm, and studies buil

155 Synthetic biologists have gained quantitative insights into the pr

156 Concurrently, synthetic biologists have gone from single-cell gene circuits(8-11

157 of DNA sequencing in the 70s, computational biologists have had to deal with the problem of de novo

158 pment of these high-throughput technologies, biologists have had to establish computational, statisti

159 In recent years, biologists have increasingly recognized that evolutionar

160 Building simple bistable switches, synthetic biologists have learned the design principles of complex

161 Biologists have long been fascinated by this disparity,

162 Biologists have long sought the genes that contribute to

163 Plant biologists have long speculated that outcrossing mating

164 Although biologists have pondered this question since Charles Dar

165 For decades, biologists have sought to understand how diverse assembl

166 d biochemical components, in vitro synthetic biologists have started to engineer simplified model sys

167 Synthetic biologists have used microfluidics for DNA assembly, cel

168 In February 2016, The Company of Biologists hosted an intimate gathering of leading inter

169 mbines the information traditionally used by biologists in a principled and probabilistically coheren

170 king relationships with earth scientists and biologists in a variety of disciplines.

171 tering, sorting, and grouping, which can aid biologists in developing hypothesis based on the input g

172 results be made searchable and accessible to biologists in general?

173 The achievement of structural biologists in providing high-resolution insight is begin

174 ably, some philosophers have now also joined biologists in their quest to make sense of the abundance

175 this approach has been slow among molecular biologists, in part because the methods require signific

176 Early developmental biologists, including T.H. Morgan [3], were attracted to

177 t is intended that this facility will enable biologists inexpert in bioinformatics access to a powerf

178 PIECE serves as a resource for biologists interested in comparing intron-exon organizat

179 for interactive visual exploration that lets biologists interpret such data in a comprehensive and ex

180 iate has proved to be an invaluable asset to biologists investigating developmental processes.

181 In parallel to PI3K research by cancer biologists, investigations in other fields have uncovere

182 Of fundamental interest to biologists is how organs achieve a reproducible size dur

183 One of the main questions for root biologists is how plants control the number of lateral r

184 Yet a challenge for biologists is that it can be difficult to assign identit

185 and a key objective of computational systems biologists is the reconstruction of biological networks

186 For a well-trained molecular biologist, it typically takes 6 d from cell harvesting t

187 Every cell biologist learns about it at some point during his or he

188 an avalanche of data and promise to satisfy biologists' long-held desire to measure absolute protein

189 erse-authorship community used by population biologists, mathematicians, epidemiologists, and experts

190 ontents of potential interest for structural biologists, medicinal chemists, molecular modellers and

191 We provide information and resources to help biologists navigate through common pitfalls in SRM speci

192 Biologists need an interactive tool for visualizing chem

193 Scientists - from clinicians to evolutionary biologists - need to navigate these waters, and this has

194 Dictyostelium biologists now face the widespread challenges of analyzi

195 Cell biologists now have tools and knowledge to generate usef

196 Although biologists often assume that trait differences between c

197 s attracted attention from many chemists and biologists owing to its intriguing chemical structure an

198 fundamental and practical interest to plant biologists, pathologists, and breeders.

199 Biologists, physicians and immunologists have contribute

200 ttracted widespread attention from chemists, biologists, physicists, and engineers.

201 However, few cell biologists possess the tools necessary to analyze them.

202 he exploration of cancer genomics data, most biologists prefer simplified, curated pathway diagrams,

203 lity of relevant datasets from other groups, biologists rarely leverage outside information to specif

204 tworkAnalyst is designed to be accessible to biologists rather than to specialist bioinformaticians.

205 Synthetic biologists rely on databases of biological parts to desi

206 relate to central objectives of regeneration biologists researching different tissues and species, fo

207 quently, it is robust and not limited by the biologist's choice of the mathematical model.

208 From a behavioural biologist's point of view, we argue: (1) The study of re

209 ometry (MS) is an essential part of the cell biologist's proteomics toolkit, allowing analyses at mol

210 uld be an invaluable addition to a synthetic biologist's toolbox.

211 niques have become important elements of the biologist's toolkit to gain mechanistic insights into ce

212 ming an important component of the molecular biologist's toolkit.

213 ed in late September 2016 for The Company of Biologists' second 'From Stem Cells to Human Development

214 oncerted efforts of molecular and structural biologists, several crucial aspects of the assembly of t

215 Consequently cell biologists showed little interest in the protein folding

216 istribution of marine species have intrigued biologists since Darwin's earliest insights into biogeog

217 brian explosion' has intrigued and exercised biologists since Darwin's time.

218 most organisms thermoregulate behaviorally, biologists still cannot easily predict whether mobile an

219 The more that biologists study symbiotic microorganisms and their vast

220 This approach addresses an important gap for biologists studying non-traditional model organisms and

221 s gene clusters is a frequent undertaking of biologists studying organismal evolution through compara

222 esources are increasingly available to bench biologists, tailored ongoing education is necessary to a

223 t strategies, and teaching resources to help biologists teach more quantitatively.

224 Furthermore, many trained biologists tend to consistently focus at first on the fa

225 For evolutionary biologists the question is often how group behaviors suc

226 Despite decades of work by structural biologists, there are still 5200 protein families with

227 stic hypotheses by enabling the experimental biologist to explore simultaneously two elements of func

228 y we introduce motifbreakR, which allows the biologist to judge whether the sequence surrounding a po

229 s largely dominated by UK and North American biologists to a much more international one (with the PG

230 f genomics methods has enabled developmental biologists to address fundamental questions of developme

231 en masse variant libraries renders molecular biologists to address genotype-phenotype relationships,

232 The present workflow allows biologists to amortize the vast amount of data produced

233 les for disease knowledge transfer, allowing biologists to analyze disease contexts and predictions a

234 in popularity, there are limited options for biologists to analyze this type of data.

235 or with a graphical user interface, enables biologists to assess connectivity among a set of genes o

236 species is an essential aim for conservation biologists to avoid premature extinctions of 'unrecogniz

237 ss-fertilization of ideas from developmental biologists to bioengineers and biophysicists.

238 has seen a rapid increase in the ability of biologists to collect large amounts of data.

239 eely available to all users, from structural biologists to computational biologists and beyond.

240 ologists, palaeontologists and developmental biologists to consider these issues.

241 In turn, this has inspired synthetic biologists to design de novo protein cages.

242 To enable biologists to design experiments to obtain better behavi

243 e present drexplorer software, which enables biologists to evaluate replicate reproducibility, detect

244 le biological pathway visualization tool for biologists to explore and interpret biological pathways.

245 ring is a common technique used by molecular biologists to group homologous sequences and study evolu

246 s are a convenient method for the structural biologists to identify structural features through two-d

247 Thus there are many reasons for cell biologists to incorporate the study of microbial pathoge

248 nteractive web server that enables molecular biologists to interpret experimental results and to gene

249 The algorithm is instrumental for biologists to learn the hierarchical regulators associat

250 ngineers, who have begun to collaborate with biologists to leverage recent advances in tissue enginee

251 nucleotides (MOs) have allowed developmental biologists to make key discoveries regarding development

252 It has long been the dream of biologists to map gene expression at the single-cell lev

253 in wild animals, new technology has enabled biologists to obtain detailed temporal information on wi

254 High-throughput sequencing is helping biologists to overcome the difficulties of inferring the

255 ion and registration techniques have enabled biologists to place large amounts of volume data from fl

256 typic plasticity further hamper evolutionary biologists to study the complex relationships between ph

257 xperimental evolutionary genomics now allows biologists to test fundamental theories concerning the g

258 tool built from experimental needs, enables biologists to transform large and dense overlapping tran

259 The inclusive fitness concept allows biologists to treat organisms as akin to rational agents

260 e been sustained efforts on the part of cell biologists to understand the mechanisms by which cells r

261 This framework may allow plant biologists to unlock powerful global plant predictions f

262 inception, to a playground for quantitative biologists, to a major area of biomedical research.

263 d by current and evolving technologies, cell biologists today are embracing new scientific challenges

264 veries transform a discipline overnight, but biologists today can manipulate cells in ways never poss

265 overwhelming evidence of change in habitats, biologists today must assume that few, if any, study are

266 Consequently, biologists typically rely on molecular phylogenies to st

267 Our method can help biologists understand underlying regulatory mechanisms u

268 chastic gene regulatory networks can further biologists' understanding of phenotypic behavior associa

269 Here are a few approaches that field biologists use in designing and conducting semi-wild exp

270 ngle the discrepancies in how physicists and biologists use the term 'precision' to facilitate intera

271 able resource, the expertise of the intended biologist users.

272 r B-factor), which is critical to decide how biologists utilize the predicted models, is however miss

273 werful tool available to plant developmental biologists was a scalpel, helped transform the disciplin

274 nvaluable tool for computational and systems biologists, we anticipate that these fast and numericall

275 y, to ensure result interpretation by system biologists, we display the annotation in a network where

276 These biologists were also drawn to Stentor because it exhibit

277 he (PS)(2) server would be a useful tool for biologists who are interested not only in the structures

278 become a part of the talented group of cell biologists who have received this award before me.

279 it will enable both the community of systems biologists who study genome-wide ribosome profiling data

280 building awareness of inference biases among biologists who tend to prefer one causal direction over

281 GS presents a challenge for the evolutionary biologists who wish to estimate evolutionary genetic par

282 Biologists will need spatially explicit models to predic

283 n be carried out by an experienced molecular biologist with a basic understanding of bioinformatics.

284 micromanipulation experience and a molecular biologist with basic bioinformatic skills.

285 The Gene Ontology (GO) provides biologists with a controlled terminology that describes

286 The system provides biologists with a framework to analyze their candidate g

287 The focus of Phyre2 is to provide biologists with a simple and intuitive interface to stat

288 a has been designed to be understandable for biologists with limited programming skills by providing

289 These packages are instrumental in providing biologists with minimal R skills a complete toolkit faci

290 is designed for a broad audience, especially biologists with no computer-science background.

291 Among careers for biologists with PhDs, science communication is one of th

292 is to offer a current perspective for plant biologists without requiring specialized knowledge of bi

293 still in production and is essential for any biologist working with the mouse embryo, although the la

294 To assist biologists working across a broad spectrum of organisms,

295 ion tool for biodiversity informaticians and biologists working with large numbers of scientific name

296 heir pathways or phenotypes of interest, and biologists working with other organisms to explore the f

297 plant and animal systems met at a Company of Biologists workshop to discuss 'Coordinating Cell Polari

298 Wotton House near London for the Company of Biologists' workshop 'From Stem Cells to Human Developme

299 enced subsequent generations of evolutionary biologists, yet over the past two decades each has been

300 ttention from evolutionary and developmental biologists, yielding speculation and hypotheses concerni