ライフサイエンスコーパス: biologist

1 It is truly a great time to be a glial biologist.

2 are some reflections on my journey as a cell biologist.

3 zation schemes available to a broad range of biologists.

4 ure climate change is a challenging task for biologists.

5 neural network models and deep learning for biologists.

6 friendly, and validated in a way relevant to biologists.

7 The origin of animals has always fascinated biologists.

8 ncologists, physician scientists, and cancer biologists.

9 ormaticians, computer scientists and systems biologists.

10 at have limited their utility to comparative biologists.

11 rocesses that limit lifespan have challenged biologists.

12 grated, programmed, and operated by cellular biologists.

13 dioecious plants of interest to evolutionary biologists.

14 of development' organized by The Company of Biologists.

15 ation and analysis resource for experimental biologists.

16 007, this field remained in the hands of RNA biologists.

17 which has been challenging for evolutionary biologists.

18 t day ecological patterns has long intrigued biologists.

19 imic is a major challenge posed by synthetic biologists.

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

21 tely become a prominent target for synthetic biologists.

22 need for bioinformaticians and computational biologists.

23 e transcripts faster and more convenient for biologists.

24 t interest to crop breeders and evolutionary biologists.

25 nment is an indispensable tool for molecular biologists.

26 biogeographers, ecologists, and evolutionary biologists.

27 s a difficult object to study for structural biologists.

28 Thus, their adoption is very limited amongst biologists.

29 n, a finding that has long puzzled molecular biologists.

30 ed quantitative analysis among developmental biologists.

31 unnatural forms of DNA created by synthetic biologists.

32 anding enigma for molecular and evolutionary biologists.

33 ns has long been of interest to evolutionary biologists.

34 high summits remain relatively unexplored by biologists.

35 The limits of evolution have long fascinated biologists.

36 llenging and time-consuming for most wet-lab biologists.

37 en clinicians, geneticists and developmental biologists.

38 tters or those from outside the field, e.g., biologists.

39 th 'signal-response' curves measured by cell biologists.

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

41 Birth-death processes have given biologists a model-based framework to answer questions a

42 rther advance the utility of this system for biologists across disciplines, we generated a transcript

43 utcomes of interest to social scientists and biologists alike.

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

45 ting since as a stem cell researcher, cancer biologist and an MD, I have a unique perspective on thes

46 ility of pertinent research publications for biologist and medical practitioners remains a challenge.

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

48 a protocol that can be implemented by plant biologists and adapted to produce functionalized single-

49 from structural biologists to computational biologists and beyond.

50 n invaluable online resource, assisting both biologists and bioinformaticians to conduct experiments

51 ysis will provide an insightful resource for biologists and bioinformaticians who are interested in u

52 NEAT provides biologists and bioinformaticians with a robust, efficien

53 ed for biomedical researchers, computational biologists and bioinformaticians-we survey emerging comp

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

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

56 GDISC allows biologists and clinicians to interactively explore the g

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

58 Chemists, biologists and clinicians, among other scientists, are p

59 ndrome features an interesting challenge for biologists and clinicians, as the disorder lies at the i

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

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

62 anisation were first discovered by molecular biologists and how they relate to the patterns revealed

63 g captivated the imagination of evolutionary biologists and inspired the durable metaphor of the coev

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

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

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

67 of interdisciplinary collaborations between biologists and physical scientists may not only advance

68 therefore of paramount importance, such that biologists and synthetic chemists avoid pursuing phantom

69 nt virome will be of broad interest to plant biologists and virologists alike and will stimulate ever

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

73 e efforts of biochemists, cell and molecular biologists, and hematologists have provided an appreciat

74 biologists, developmental biologists, tumor biologists, and oncologists attempting to understand how

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

76 80% in the past two decades and conservation biologists are actively seeking to understand and revers

77 ces 686 SUMMARY: Ecologists and evolutionary biologists are concerned with explaining the diversity a

78 Biologists are drawn to this system as a new "model orga

79 Evolutionary biologists are increasingly using population genetic var

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 Our voices as cell biologists are powerful tools that can be used to combat

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

84 350 years, these two organs have fascinated biologists as a model of organ structure and function.

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

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

87 formation about macromolecules, help systems biologists assemble global models of cells that encompas

88 Historically, many biologists assumed that evolution and ecology acted inde

89 le de novo assembly algorithms have hindered biologists attempting to swiftly assemble high-quality c

90 actor to benefit a recipient) once perplexed biologists because it seemed paradoxical in a Darwinian

91 rlooked by metabolic engineers and synthetic biologists because specific target genes have been elusi

92 e appearance of resources to help bench-side biologists become skilled at computational data analysis

93 has attracted the intense focus of top cell biologists, biochemists, and structural biologists, due

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

95 I am just starting my career as a cancer biologist, but I have always been a Black man in America

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

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

98 ought CRNT approaches closer to experimental biologists by automating all the necessary steps in CRNT

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

100 The resolution and dimensionality with which biologists can characterize cell types have expanded dra

101 and many human diseases, we as developmental biologists can contribute skills and expertise that are

102 mmunity faces, and discuss how developmental biologists can make unique and valuable contributions to

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

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

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

106 As computational biologists continue to be inundated by ever increasing a

107 spp. are standard tools for plant molecular biologists, current laboratory strains have remained unc

108 Systems biologists currently working with omics data are invited

109 Computational biologists daily face the need to explore massive amount

110 Collaborations between biologists, data scientists and philosophers of science

111 now embraced by engineers, physicists, cell biologists, developmental biologists, tumor biologists,

112 Brazilian-born British biologist Dr.

113 cell biologists, biochemists, and structural biologists, due to its unique activation mechanisms and

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

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

116 mpatric speciation)-has puzzled evolutionary biologists ever since Darwin(1,2).

117 Here we provide a guide for biologists, explaining different simulation approaches a

118 philosopher of biology, an artist and a cell biologist - explore how best to represent the entire pro

119 for medicinal chemists, structural and cell biologists exploring ubiquitination pathways.

120 Computational biologists face many challenges related to data size, an

121 Even computational biologists find it unexpectedly difficult to reproduce r

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

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

124 evolutionary phenomenon that has fascinated biologists for centuries.

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

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

127 les of some species has puzzled evolutionary biologists for over 50 years.

128 rsification of floral signals has fascinated biologists for over a century.

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

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

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

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

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

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

135 analytical framework that releases astrocyte biologists from region-of-interest-based tools.

136 Cell biologists generally consider that microtubules and acti

137 protein-protein interactions (PPIs) can help biologists generate testable hypotheses about signaling.

138 An equivalent effort from plant molecular biologists has been lagging behind, but recent work in A

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

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

141 Evolutionary biologists have approached the question of predictabilit

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

143 For centuries, biologists have been captivated by the vast disparity in

144 Developmental biologists have been overcoming those exclusions for som

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

146 Stem cell biologists have been yearning to visualize hematopoietic

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

148 While ocean global change biologists have begun to experimentally test how variabi

149 Algal biologists have embraced this paradigm, and studies buil

150 this Review, we summarize the ingenious ways biologists have exploited natural mechanisms for protein

151 gh fitness costs of inbreeding, evolutionary biologists have found it challenging to understand the p

152 Developmental biologists have frequently pushed the frontiers of moder

153 Synthetic biologists have gained quantitative insights into the pr

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

155 e with the data deluge are progressing, many biologists have lagged behind due to the fast pace of co

156 Evolutionary biologists have long been fascinated by camouflage patte

157 Biologists have long been fascinated by this disparity,

158 Biologists have long known that these are crude metrics,

159 Although biologists have long recognized that intraspecific varia

160 Biologists have long sought to trace this cell lineage t

161 Evolutionary biologists have long sought to uncover the adaptive orig

162 Plant biologists have long speculated that outcrossing mating

163 Biologists have long tried to describe and name the diff

164 Bone biologists have long understood how estrogen drives oste

165 Over the past two decades, biologists have shown that cooption of gene regulatory n

166 computational and modeling toolsets, systems biologists have turned their attention to tumor immunolo

167 Synthetic biologists have used microfluidics for DNA assembly, cel

168 Evolutionary cell biologists have used morphological and molecular phenoty

169 For centuries, biologists have used phenotypes to infer evolution.

170 BRM provides bioinformatics tools to assist biologists having minimal programming skills with analys

171 y have disappeared or to new locations where biologists hypothesize they have a good chance of surviv

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

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

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

175 e describe the achievements by developmental biologists in identifying the genes responsible for dome

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

177 Training molecular biologists in single-cell data analysis and empowering t

178 e altered by engaging 16-18-year-old A level biologists in sustained research.

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

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

181 Here, we present TBtools (a Toolkit for Biologists integrating various biological data-handling

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

183 ences, and is an important tool for protease biologists interested in protease specificity for specif

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

185 The driving passion of molecular cell biologists is to understand the molecular mechanisms tha

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 Biologists less familiar with programing can now work ha

189 obinson-Foulds (RF) metric is widely used by biologists, linguists and chemists to quantify similarit

190 can be discontinuous will not surprise many biologists - many genes are restricted in when and where

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

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

193 Future generations of biologists must be more computationally aware and capabl

194 relevance of hiPSC-based studies, stem cell biologists must contemplate statistical and biological c

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

196 y collaboration between dermatologists, skin biologists, neuroendocrinologists, and neuropharmacologi

197 Dictyostelium biologists now face the widespread challenges of analyzi

198 opic of intense investigation among the cell biologists over the years.

199 ong been of interest to both cell and cancer biologists, partly because of its documented role in tum

200 ould bring valuable information to chemists, biologists, pharmacologists and toxicologists.

201 Biologists, physicians and immunologists have contribute

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

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

204 e field of biology is no exception; but most biologists receive little or no formal preparation for t

205 Bioinformaticians and biologists rely increasingly upon workflows for the flex

206 Developmental biologists rely on genetics-based approaches to understa

207 nd other model systems enhance fitness, many biologists remain skeptical given the extraordinary natu

208 the integrated representation accessible to biologists remains an open challenge.

209 Whether chemists or biologists, researchers dealing with metabolomics requir

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

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

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

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

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

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

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

217 Our method can be used to help biologists select among tens or hundreds of genes for fu

218 Consequently cell biologists showed little interest in the protein folding

219 adiations on oceanic islands have fascinated biologists since Darwin's exploration of the Galapagos a

220 Cooperation has fascinated biologists since Darwin.

221 ross their axes has fascinated developmental biologists since the founding of embryology.

222 Biologists still strive to identify the ecological and e

223 ces and the human history of taxonomists and biologists struggling with species concepts in this fasc

224 ding interest to developmental and stem cell biologists studying embryonic morphogenesis and adult ti

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

226 intensivists, neonatologists, and complement biologists, summarizes the current knowledge of these po

227 morate the life of the eminent developmental biologist, Suzanne Eaton.

228 ci has completely upended how today's cancer biologists tackle drug target discovery.

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

230 quencing has fundamentally changed how plant biologists think about genes.

231 genetic alterations dominate the way cancer biologists think about oncogenesis, growing evidence sug

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

233 approach provides a universal technique for biologists to answer questions in living animals.

234 mbining these approaches allows evolutionary biologists to better study the interplay between genotyp

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

236 ing omics-scale data as well as in assisting biologists to build hypotheses for designing experiments

237 ffective and efficient tool for experimental biologists to comprehensively analyze and interpret OMIC

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

239 Our goal is to motivate and empower all biologists to consider FRET for the powerful research to

240 b-based application developed to allow plant biologists to construct dynamic mathematical models of m

241 rgo delivery(1), and have inspired synthetic biologists to create novel protein assemblies via the pr

242 workshop with the support of The Company of Biologists to debate the current state of knowledge rega

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

244 e imaging contrast and enable clinicians and biologists to differentiate between various cell organel

245 ighlight the opportunities for developmental biologists to engage with human geneticists and genetic

246 tworks (GCNs) are powerful tools that enable biologists to examine associations between genes during

247 Identifying emerging phenomena may help biologists to examine potential relationships among phen

248 unfeasible or impossible, driving structural biologists to explore new production avenues.

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

250 on-ready visualizations of results, allowing biologists to identify sites of embedded rNMPs, study th

251 ient web-based server is available for plant biologists to identify the experimentally verified targe

252 ging) is a chemical technique widely used by biologists to interrogate its physiology.

253 s extended PSI-MI format will enable systems biologists to model large-scale signalling networks more

254 iverse animals, it is time for developmental biologists to move away from this reductive approach.

255 sues with cellular resolution, thus enabling biologists to objectively determine drug binding kinetic

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

257 corporation, debCAM software tool will allow biologists to perform a more comprehensive and unbiased

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

259 that allows medical professionals and bench biologists to prioritize and visualize genetic variants

260 focus on the opportunities now available to biologists to study the developmental genetics, cell bio

261 It is critical for biologists to understand the concepts in image processin

262 iptomes at the single-cell level have helped biologists to understand the heterogeneity of cell popul

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

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

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

266 eering and applications can be a "real" cell biologist, too.

267 zed by evolutionary developmental (evo-devo) biologists, tools for quantitative evaluation of morphol

268 , physicists, cell biologists, developmental biologists, tumor biologists, and oncologists attempting

269 Consequently, biologists typically rely on molecular phylogenies to st

270 Our method can help biologists understand underlying regulatory mechanisms u

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

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

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

274 lation is one of the central strategies that biologists use to investigate the molecular underpinning

275 d out by any trained biochemist or molecular biologist using commercially available reagents and typi

276 PDB Data Depositors include structural biologists using macromolecular crystallography, nuclear

277 electrical and civil engineering, synthetic biologists utilize abstraction, decoupling and standardi

278 Biologists very often use enrichment methods based on st

279 changed the way hematologists and stem cell biologists view aging.

280 changing the way ecologists and evolutionary biologists view the importance of microorganisms in ecos

281 s Spotlight, we argue that, as developmental biologists, we are in a prime position to contribute to

282 These biologists were also drawn to Stentor because it exhibit

283 In the spirit of enabling biologists who may not have programming skills to instal

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

285 jectory at extreme old ages is important for biologists who test their theories of aging with demogra

286 But for the biologist whose main focus is not bioinformatics, much o

287 a collection of examples that demonstrate to biologists why visualization should be an integral compo

288 innovations that an aspiring structural cell biologist will consider when planning to ask bold questi

289 Biologists will need spatially explicit models to predic

290 Pathway Commons provides biologists with (i) tools to search this comprehensive r

291 data mining is challenging for experimental biologists with limited training in curating, integratin

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

293 with unprecedented detail, but also confront biologists with the challenge of selecting the best-suit

294 nditions experienced by organisms and equips biologists with the means to do so.

295 wielded at the molecular level is presenting biologists with unique opportunities to unravel the comp

296 iovascular medicine specialists and vascular biologists work closely with oncologists in the care of

297 oming an increasingly essential step in many biologists' work.

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

299 t summarizes conclusions from The Company of Biologists Workshop 'Understanding Human Birth Defects i

300 long fascinated ecologists and evolutionary biologists, yet our understanding of the factors that ca