ライフサイエンスコーパス: atlas

1 ents into the 3D Allen mouse brain reference atlas.

2 encyclopedias and represent these as a drug atlas.

3 ed data exchange with UniProt and Expression Atlas.

4 rectal adenocarcinomas, in The Cancer Genome Atlas.

5 sed GBM were obtained from The Cancer Genome Atlas.

6 cross 14 cancer types from The Cancer Genome Atlas.

7 arch (n = 41) and mapped onto a common brain atlas.

8 these data requires a standard 3D reference atlas.

9 modern societies drawn from the Ethnographic Atlas.

10 sive hamster tissue and cell line proteomics atlas.

11 ors and normal pancreas in The Cancer Genome Atlas.

12 cross 33 cancer types from The Cancer Genome Atlas.

13 tracts were segmented using a diffusion MRI atlas.

14 hite patients published by The Cancer Genome Atlas.

15 2 human brain samples from Allen Human Brain Atlas.

16 e transcriptomic data from The Cancer Genome Atlas.

17 s after registration to a standard reference atlas.

18 fied using data from the total cancer genome atlas.

19 eosin (H&E) specimens from The Cancer Genome Atlas.

20 on colorectal tumors from The Cancer Genome Atlas.

21 vice area (TSA) as defined by the Pittsburgh Atlas.

22 rgent expression across a diverse expression atlas.

23 inZero can help to chart the phosphoproteome atlas.

24 pression and CNA data from The Cancer Genome Atlas.

25 previously available in any other expression atlas.

26 breast cancer images from The Cancer Genome Atlas.

27 Kreiner's myeloarchitectonic-based histology atlas.

28 lity on external data from The Cancer Genome Atlas.

29 idual organs to create a full molecular cell atlas.

30 o generate reference maps for the human cell atlas.

31 ation resource, the Kidney Tubule Expression Atlas.

32 n a more accurate cytoarchitectonic auditory atlas.

33 tability for integration into reference cell atlases.

34 ovel cell type and states in the age of cell atlases.

35 w only 7% have been depicted in standard MRI atlases.

36 5% CI: 0.98, 0.99); and (18)F-FDG PET/CT MIP atlas, 0.99 (95% CI: 0.98, 1.00).

37 pleted the 52-week comparative phase with an ATLAS-2M screening plasma HIV-1 RNA less than 50 copies

38 r thousands of subjects in The Cancer Genome Atlas(7-13), we present evidence that subsampled tumor R

39 Here we present ATLAS, a software package for customizable data processi

40 of the VMI network to the Allen Human Brain Atlas, a whole-brain transcriptome-wide atlas of cortica

41 Here, we present the "SASP Atlas," a comprehensive proteomic database of soluble pr

42 esent here FC-R2, a comprehensive expression atlas across a broadly defined human transcriptome, incl

43 ingle-cell and single-nucleus transcriptomic atlases across various rat tissues undergoing aging and

44 Using The Cancer Genome Atlas acute myeloid leukemia data set, we found an inver

45 ression as measured by the Allen Human Brain Atlas (AHBA).

46 We developed an automated adaptive atlas algorithm to segment the left ventricle on CAC-CT,

47 Investigating the Cancer Genome Atlas also revealed that increased CFH mRNA expression i

48 Results: Cancer Genome Atlas analysis revealed increased RNA expression of TYMS

49 in alignment with an annotated histological atlas and can be browsed down to cellular resolution.

50 We provide a comprehensive cell atlas and characterize tumor-specific cells.

51 PDACs were determined from The Cancer Genome Atlas and compared with patient survival times.

52 e expression profiles from The Cancer Genome Atlas and essential survival gene datasets from The Canc

53 tumor/normal pairs across The Cancer Genome Atlas and found that MBNL1 was down-regulated in several

54 For each combination of atlas and method, we conducted a leave-one-out cross-com

55 The resulting protein atlas and our initial data analyses demonstrate the valu

56 nd cell types, we built a comprehensive gene atlas and studied tissue specificity of genes in cattle.

57 With this protein localization atlas and template-based protein structure modeling, we

58 onal areas of the transverse foramina of the atlas and the left carotid canal in StW 573 further sugg

59 ne data repositories (e.g. The Cancer Genome Atlas and Trans-Omics for Precision Medicine) have the p

60 levant anatomic volumes from the mouse brain atlas and ultrastructurally established interaction dist

61 een an impressive increase in resources-from atlases and databases to biological models-that is progr

62 e include gene model annotations, expression atlases and gene networks that provide information about

63 g single-cell, multiparametric, longitudinal atlases and integrating them with clinical outcomes shou

64 t cellular states to existing brain taxonomy atlases and sheds light on the elusive mechanisms of rem

65 hich is useful for establishing various cell atlases and studying tumor heterogeneity.

66 curated opensource software EASAL (efficient atlasing and search of assembly landscapes).

67 egion across the sample used to generate the atlas, and a statistical comparison of a chosen subset o

68 independent data set from The Cancer Genomic Atlas, and demonstrated that high asparagine synthetase

69 SC Xena, Chromothripsis Explorer, Expression Atlas, and PCAWG-Scout.

70 Anatomy and function of the early hominin atlas, and thus, its evolutionary history, are poorly do

71 otated in an existing scRNA-seq gastrulation atlas, and use this approach to guide ESC differentiatio

72 atlas level contours based on the reference atlases, and direct graphical and tabular comparison of

73 either omitted or misidentified in previous atlases; and (3) comprehensive fiber pathway maps of cor

74 histochemistry images from the Human Protein Atlas as the source of subcellular location information,

75 e braincase and palatal elements as well the atlas-axis complex for the first time.

76 ive imaging features were extracted by using atlas-based coregistration and segmentation.

77 imensional convolutional neural networks and atlas-based image processing were used for extraction of

78 to another study using the more complicated atlas-based method.

79 nce Atlas (mouse) (Dong, The Allen reference atlas, (book + CD-ROM): A digital color brain atlas of t

80 their arrangement in corresponding reference atlases: Brain Maps 4.0 (BM4, rat) (Swanson, The Journal

81 ent survival compared with The Cancer Genome Atlas Breast Cancer Project cohort.

82 Using The Cancer Genome Atlas Breast Cancer Project, somatic LRRK2 DNA sequence

83 tology has important applications in ex vivo atlas building and in modeling the link between microstr

84 We demonstrate the utility of the FC-R2 atlas by reproducing key findings from published large s

85 Our human pancreas cell atlas can be interrogated to understand pancreatic cell

86 plex traits in cattle, and our transcriptome atlas can serve as a primary source for biological inter

87 ransplant listings (2006-2016) and Dartmouth Atlas catchment areas to assess the optimal method of de

88 We benchmark Cumulus on the Human Cell Atlas Census of Immune Cells dataset of bone marrow cell

89 a more focused analysis in The Cancer Genome Atlas cohort of 12,153 patients.

90 om WCH and 47 cancers from The Cancer Genome Atlas Colon Adenocarcinoma database.

91 This cellular atlas, combined with deep-phenotypic, spatial and functi

92 sis and gene expression in The Cancer Genome Atlas complemented by single-cell analysis of six indepe

93 1, and TREM2 loci and curate a comprehensive atlas comprising ATAC-seq, ChIP-seq, RNA-seq, and proteo

94 The resulting average brain atlas consists of 3D reconstructions of 25 separate neur

95 The Cancer Genome Atlas consortium brought us terabytes of information abo

96 The Human Cell Atlas consortium is emerging as an important contributor

97 rspective, the first chimpanzee white matter atlas, constructed from in vivo chimpanzee diffusion-wei

98 id cancers investigated in The Cancer Genome Atlas data set.

99 of biomarker positivity in The Cancer Genome Atlas data suggests the potential for a similar precisio

100 Deep analysis of the The Cancer Genome Atlas database and tissue microarrays showed strong corr

101 rogression, an analysis of The Cancer Genome Atlas Database indicates that KRAS mutated colorectal ca

102 three atlas databases, and the Hammers_mith atlas database transferred to new datasets best regardle

103 matched healthy tissues in The Cancer Genome Atlas database were analyzed to select shared FSPs.

104 s significantly lowered in the Cancer Genome Atlas database.

105 FreeSurfer), using three publicly available atlas databases (Hammers_mith, Desikan-Killiany-Tourvill

106 automatic image segmentation methods and few atlas databases exist for analysing structural T1-weight

107 ternational Consortium and The Cancer Genome Atlas databases with CRISPR/Cas9-mediated depletion of t

108 l leave-one-out analyses in two of the three atlas databases, and the Hammers_mith atlas database tra

109 Bioinformatics analysis of The Cancer Genome Atlas dataset demonstrated that a high MDSC score in HCC

110 Here we used the The Cancer Genome Atlas dataset to examine 12 tumor types (including colon

111 h accuracy when applied to the Cancer Genome Atlas datasets.

112 This study provides a single-cell atlas defining the staging of autoimmune diabetes and re

113 comprehensive three-dimensional white matter atlas depicting fiber pathways that were either omitted

114 ortem brain microarray data from Allen Brain Atlas (donors n = 6) from 22 brain regions to investigat

115 mic data repositories like The Cancer Genome Atlas, Encyclopedia of DNA Elements, Bioconductor's Anno

116 These results present a single-cell atlas, explore intratumor heterogeneity, and provide pot

117 ably, >65% of GBM cases in The Cancer Genome Atlas express the non-responder (ERN1, IGFBP3, IGFBP5) g

118 nalysis of single-cell and Allen Human Brain Atlas expression data reveal somatostatin interneurons a

119 data on >6000 samples from The Cancer Genome Atlas for 12 different cancers.

120 We used data from the Allen Brain Atlas for replication.

121 make available a detailed MRI-based cortical atlas for the canine brain.

122 his study provides a comprehensive cell-type atlas for the early intra-mammalian stage of this devast

123 escribe a human single-nuclei transcriptomic atlas for the substantia nigra (SN), generated by sequen

124 d highlight the utility of human single-cell atlases for designing immunotherapies.

125 entified tract target is openly available in atlas form.

126 hive and genomic data from The Cancer Genome Atlas from 110 patients from five institutions with lowe

127 ogs, tissue segmentation maps and a cortical atlas generated from Jerzy Kreiner's myeloarchitectonic-

128 This atlas greatly extends the gene annotation used in the or

129 This atlas guides our aetiological understanding by associati

130 Together, these immune cell atlases have the potential to transform nephrology.

131 chieved using image registration to a single atlas image with reference segmentations of 18 volume of

132 Our human cardiac cell atlas improves our understanding of the human heart and

133 Our atlas improves the description of ionocytes, pulmonary n

134 vide the oxidative stress innate immune cell atlas in neuroinflammatory disease and report the discov

135 ta delineate a high-resolution transcriptome atlas in the entire male GSC lineage: the most dramatic

136 cing has opened the way to systematic tissue atlases in health and disease, but as the scale of data

137 tion could serve as an example for cell type atlases in other parts of the body.

138 This atlas includes a population template generated from 30 n

139 The atlas includes types identified previously as well as ma

140 tool to explore this comprehensive skin cell atlas, including epithelial and stromal cells such as fi

141 cs, imaging technologies, and the Human Cell Atlas initiative have together enabled a systems-level m

142 ncatula RNA-sequencing-based gene expression atlas integrated with various analytical tools, includin

143 The atlas is a 60 mum isotropic image volume composed of 256

144 Measurements and Main Results: The resulting atlas is composed of a high percentage of epithelial cel

145 Expression Atlas is EMBL-EBI's resource for gene and protein expres

146 The source code for ATLAS is freely available, distributed under a BSD-3 lic

147 ATLAS is written in Python and the workflow implemented

148 How best to project data across single-cell atlases is an open problem.

149 e and rat brain flatmaps are cerebral cortex atlas level contours based on the reference atlases, and

150 nnotated in the Mechanism and Catalytic Site Atlas (M-CSA), and compare our results with those in pre

151 (Apiaceae), a shrub that grows mainly in the Atlas Moroccan Mountains.

152 and the first version of the Allen Reference Atlas (mouse) (Dong, The Allen reference atlas, (book +

153 The Human Tumor Atlas Network (HTAN), part of the National Cancer Instit

154 We produced an atlas of 26,000 high-quality cells, representing more th

155 Our transcriptome-wide atlas of ADAR substrates and the features governing RNA

156 ere to construct a detailed, high-resolution atlas of cell populations and assess variability in cell

157 studied strains to construct a comprehensive atlas of cell-cycle and asexual development, revealing h

158 ensory neuron, we generated a transcriptomic atlas of cells traversing the primary somatosensory neur

159 ques to construct and explore a quantitative atlas of cellular architecture for the zebrafish posteri

160 We generate a single-cell resolution atlas of cellular metabolism in the TME, detailing how i

161 pled at different growth stages, creating an atlas of changes in metabolism and lifestyle.

162 Leveraging a granular atlas of chromatin accessibility across 81 immune cell t

163 This atlas of chromatin loops complements the diverse maps of

164 Our atlas of collagen-producing cells provides a roadmap for

165 rain Atlas, a whole-brain transcriptome-wide atlas of cortical genetic expression.

166 Here, we generate an atlas of CRMs showing predicted allelic variation in TF

167 ucture of the Netherlands has constructed an atlas of drug-metabolite associations for 87 commonly pr

168 and non-smokers, we generate a comprehensive atlas of epithelial cell types and states, connect these

169 Here, we obtain a detailed immune cell atlas of esophageal squamous cell carcinoma (ESCC) at si

170 e RNA FISH to provide a systematic molecular atlas of full-thickness skin, determining gene expressio

171 isms involved in these processes requires an atlas of gene expression and cell types.

172 ORFs (iORFs), generating a complete unbiased atlas of HHV-6 proteome.

173 Here we compiled an unbiased atlas of human colonic CD8(+) T cells in health and ulce

174 We created the first comprehensive atlas of human pancreas cells including epithelial and n

175 a spatially-resolved quantitative proteomic atlas of human skin.

176 graphic sleep activity and creates the first atlas of human sleep using recordings from the first sle

177 ross different species, and generated a cell atlas of isoform dynamics during the development of reti

178 ne called NeuroPAL (a neuronal polychromatic atlas of landmarks).

179 This study provides a comprehensive atlas of liver lineage establishment from the endoderm a

180 We generated a single cell atlas of lung ILC2s and found that Il18r1(+) ILCs compri

181 ther, our findings provide a high-resolution atlas of m(5)C in murine leukemia virus and reveal a fun

182 rn genome browser to present a comprehensive atlas of m(6)A methylation sites, histone modification s

183 This atlas of medically relevant invertebrate immune cells at

184 pproach to generate a single-cell-resolution atlas of mtDNA content in mammalian tissues was validate

185 We present a comprehensive atlas of polySia immunoreactivity: we report that polySi

186 Leveraging a human brain atlas of post-mortem gene expression, we found that glio

187 roup, and co-occurrence analysis provided an atlas of potential relationships between microbes and ho

188 A complete molecular atlas of retinal cell types provides an important founda

189 ng (scRNA-seq) to build a comprehensive cell atlas of the adult Drosophila ovary that contains transc

190 This single-cell transcriptional atlas of the adult fly VNC will be a valuable resource f

191 Here, we present a multi-omic epigenetic atlas of the adult human brain through profiling of sing

192 c tool for establishing a comprehensive cell-atlas of the brain, although its capacity for retrograde

193 tlas, (book + CD-ROM): A digital color brain atlas of the C57BL/6J male mouse, 2007).

194 amputated control digit tips and generate an atlas of the cell types participating in digit tip regen

195 ntiation in vitro and provides a single-cell atlas of the developing human lung.

196 Taken together, our transcriptional atlas of the developing human testis provides multiple i

197 It was derived from a 3D histological atlas of the human brain at 20-micrometer isotropic reso

198 , we developed a single-cell mRNA sequencing atlas of the human lung from 11.5 to 21 weeks of develop

199 tation approach, we create an extensive cell atlas of the human lung.

200 Our collective dataset provides an atlas of the migratory immune system and defines the nat

201 Here, we present an atlas of the murine lung immune compartment during early

202 Collectively, we provide a cell atlas of the peripheral immune response to severe COVID-

203 Our study provides a spatially-resolved cell atlas of the small intestinal stroma and exposes Lgr5+ v

204 our objective was to develop a comprehensive atlas of the transcriptome of limb tendons in adult mice

205 In sum, our study provides a comprehensive atlas of TRN neurons at single-cell resolution and links

206 s (SNPs) in the human genome and release the Atlas of Variant Age as a public online database.

207 onstruction of comprehensive transcriptional atlases of adult tissues and of developing embryos from

208 informative and accessible three-dimensional atlases of cancer transitions for a diverse set of tumor

209 We generated human cell atlases of chromatin accessibility and gene expression i

210 novations can be used for future single-cell atlases of ctenophores and analyses of neuronal evolutio

211 The partition function computation uses atlases of interface subassembly landscapes, rapidly gen

212 Histological atlases of the cerebral cortex, such as those made famou

213 of new cell types and established cell type atlases of tissues and organs.

214 of cells and are being used to compile cell atlases of tissues, organs and organisms.

215 This comprehensive atlas offers new insights into the organization of 5-HT

216 This comprehensive data atlas offers over > 1,000 multicolour volumes for explor

217 nt of two new ontologies - the Kidney Tissue Atlas Ontology and the Ontology of Precision Medicine an

218 ed as part of the Open Pediatric Brain Tumor Atlas (OpenPBTA) Project to determine recurrent fusions

219 l Cancer Genome Consortium/The Cancer Genome Atlas Pan-Cancer Analysis of Whole Genomes Consortium, w

220 er regulatory annotations, The Cancer Genome Atlas Pan-Cancer variants, Genome Reference Consortium P

221 mon fMRI methods such as cluster correction, atlas parcellation, and anatomical searchlight are biase

222 Here, we introduce an interactive expression atlas, Physcomitrella Expression Atlas Tool (PEATmoss),

223 annabinoid signaling (from Allen Human Brain Atlas postmortem tissue) were associated with spatial pa

224 The IVY Glioblastoma Atlas Project Database was used to evaluate DCN localiza

225 Comparative white matter atlases provide a useful tool for identifying neuroanato

226 This comprehensive cortical atlas provides a reference standard for canine brain res

227 l thickness in 2D, and the resultant laminar atlas provides an unprecedented level of precision and d

228 Functional morphology of the atlas reflects multiple aspects of an organism's biology

229 ting findings deposited in the human protein atlas repository.

230 Analysis of The Cancer Genome Atlas revealed that SLAMF7 transcript levels were strong

231 prostate cancer data from The Cancer Genome Atlas revealed that YAP1 and androgen receptor transcrip

232 Furthermore, The Cancer Genome Atlas RNA-sequencing data from HNSCC patients also showe

233 lioma Genome Atlas RNAseq, the Cancer Genome Atlas RNAseq and GSE16011 databases, were included in th

234 ncluding data from the Chinese Glioma Genome Atlas RNAseq, the Cancer Genome Atlas RNAseq and GSE1601

235 dataset to derive the South American Drought Atlas (SADA) over the continent south of 12 degrees S.

236 fication and characterization using a single atlas segmentation performs well compared to manual segm

237 Thus, this atlas serves as a resource for decoding neurodevelopment

238 This multiomics single-cell atlas significantly expands our understanding of pre-HSC

239 Furthermore, the identified fiber-based atlas structure might contribute to future postoperative

240 iant call files (VCF) from the Cancer Genome Atlas (TCGA) and found 12,141 incorrectly annotated MNVs

241 or the cancers profiled in The Cancer Genome Atlas (TCGA) and pathways from the Molecular Signatures

242 analyses for patients from The Cancer Genome Atlas (TCGA) and reveal divergent patterns for sex bias

243 of the mutations are from The Cancer Genome Atlas (TCGA) and the Catalogue Of Somatic Mutations In C

244 yses of primary tumors and The Cancer Genome Atlas (TCGA) data revealed an activated FOXM1-directed p

245 Interrogation of The Cancer Genome Atlas (TCGA) data showed that reduced expression of JAK3

246 ed in the ovarian cancer Tumor Cancer Genome Atlas (TCGA) database and in residual human ovarian canc

247 Examination of the cancer genome atlas (TCGA) database, and analysis of human RCC tumor t

248 sue microarrays (TMA), and The Cancer Genome Atlas (TCGA) database.

249 ion of the prostate cancer The Cancer Genome Atlas (TCGA) dataset, (b) chromatin immunoprecipitation,

250 y cause of CA, we analyzed The Cancer Genome Atlas (TCGA) genomic and transcriptomic data for genes e

251 Results were confirmed on The Cancer Genome Atlas (TCGA) glioblastoma dataset.

252 tumors by projects such as The Cancer Genome Atlas (TCGA) has provided important information regardin

253 n external institution and The Cancer Genome Atlas (TCGA) HNSCC imaging data.

254 cell carcinoma (ccRCC) by The Cancer Genome Atlas (TCGA) identified UQCRH as the top-ranked gene sho

255 n both NCI-MATCH trial and The Cancer Genome Atlas (TCGA) of primary tumors were compared.

256 ted origins represented in The Cancer Genome Atlas (TCGA) proteomic data.

257 MS/MS) proteomics data and The Cancer Genome Atlas (TCGA) related data to discover the possible dispa

258 hed checkpoint treatment naive Cancer Genome Atlas (TCGA) samples where cytolytic activity (CYT) impa

259 , we performed analyses of The Cancer Genome Atlas (TCGA) transcriptome data for different classes of

260 nome Consortium (ICGC) and The Cancer Genome Atlas (TCGA)(5).

261 nical trial, a cohort from the Cancer Genome Atlas (TCGA), and a Memorial Sloan Kettering (MSK) obser

262 nome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), we analyze patterns of chromothripsis acro

263 nome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), we characterized mutational signatures usi

264 nome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), which aggregated whole-genome sequencing d

265 le cancer studies, such as The Cancer Genome Atlas (TCGA), with both RNA-Seq and array-based platform

266 to thousands of samples in the Cancer Genome Atlas (TCGA).

267 real expression data from The Cancer Genome Atlas (TCGA).

268 using available data from The Cancer Genome Atlas (TCGA).

269 different tumor types from the Cancer Genome Atlas (TCGA).

270 ndependent validation set (The Cancer Genome Atlas [TCGA], n = 328).

271 trate here using data from The Cancer Genome Atlas that a substantial number of genes implicated in c

272 o our tool, we provide a gene prioritization atlas that includes mantis-ml's predictions across ten d

273 In The Cancer Genome Atlas, the expression of dACE2 was enriched in squamous

274 a mechanisms, we built an area postrema cell atlas through single-nucleus RNA sequencing, revealing a

275 We used Atlas.ti software version 7.5.12 (Scientific Software De

276 atim and analysed using thematic analysis in ATLAS.ti.

277 ouse tract tracing data from the Allen Brain Atlas to confirm the network's underlying structural con

278 e regulation to a single-cell RNA-seq tissue atlas to generate a tissue-specific DNA methylation refe

279 phase diagrams that serve as a thermodynamic atlas to indicate which compounds are energy minima in r

280 We then used the human retinal atlas to map expression of 636 genes implicated as cause

281 over a vagal/glossopharyngeal sensory neuron atlas to map, ablate, and control specific afferent popu

282 l tracts were identified using probabilistic atlases to measure the lesion volume fraction.

283 expression atlas, Physcomitrella Expression Atlas Tool (PEATmoss), that unifies publicly available e

284 Eligible participants from the ATLAS trial, from both the oral standard-of-care and lon

285 t genome sequence, alongside gene expression atlases, variation datasets and sequenced mutant populat

286 ished in the fifth edition of the BI-RADS(R) Atlas was between moderate and nearly perfect.

287 Importantly, the utility of our atlas was demonstrated by mapping glaucoma-relevant gene

288 A digital human fetal brain atlas was developed using previously obtained MRI imagin

289 The atlas was developed using Pydpiper image registration pi

290 Using data from The Cancer Genome Atlas, we authenticated the relationship between DNA met

291 other melanoma subtypes in The Cancer Genome Atlas, we predict that elevated redox capacity is a gene

292 nd transcriptome data from the Cancer Genome Atlas, we show that cluster analysis on model explanatio

293 Using data from multiple cell atlases, we show that the PageRank algorithm effectively

294 Tabula Muris Senis(2)-or 'Mouse Ageing Cell Atlas'-which follows on from the original Tabula Muris(3

295 ll support the creation of the Kidney Tissue Atlas, which aims to provide a comprehensive molecular,

296 comprised of over 70,000 samples, the FC-R2 atlas will empower other researchers to investigate func

297 These findings illustrate how this laminar atlas will provide a link between single-neuron morpholo

298 sion 4 (MS-DIAL 4), a comprehensive lipidome atlas with retention time, collision cross-section and t

299 avily genomic and transcriptomic single-cell atlases with protein-level profiling.

300 has revealed the most complete early hominin atlas yet found, having been cemented by breccia in its