ライフサイエンスコーパス: ATAC-seq

1 posase-accessible chromatin with sequencing (ATAC-seq).

2 e Chromatin with high-throughput sequencing (ATAC-seq).

3 ions in DNA (DNase-seq, ChIP-seq, FAIRE-seq, ATAC-seq).

4 osase-accessible chromatin using sequencing (ATAC-seq).

5 assay for transposase-accessible chromatin (ATAC-Seq).

6 may be applied to other data types including ATAC-seq.

7 despite having more accessible chromatin by ATAC-seq.

8 stem cells by integrating Hi-C, RNA-seq and ATAC-seq.

9 y DNA in cutaneous T cell lymphoma (CTCL) by ATAC-seq.

10 landscape including DNase-seq, FAIRE-seq and ATAC-seq.

11 regions near distal enhancers, compared with ATAC-seq.

12 QTLs (caQTLs) in a European population using ATAC-seq.

13 ata analysis including RNA-seq, ChIP-seq and ATAC-seq.

14 ions from chicken lung were used to optimize ATAC-seq.

15 matin identified previously by DNase-seq and ATAC-seq.

16 ay for transposase accessible chromatin (sci-ATAC-seq); a software suite, scitools, for the rapid pro

17 ATAC-seq accessible regions shift during tissue maturati

18 nsposase Accessible Chromatin by sequencing (ATAC-seq) accurately depicts the chromatin regulatory st

19 posase-accessible chromatin with sequencing (ATAC-seq) after GLI1 knockdown supported these findings,

20 By ATAC-seq analyses of EpCAM(+) PDAC malignant epithelial

21 RNA-seq and ATAC-seq analyses of Hopx(+) embryonic, early postnatal,

22 ATAC-seq analyses revealed altered accessibility regions

23 ATAC-seq analyses revealed differentially accessible chr

24 ES and XEN coupled with single-cell RNA and ATAC-seq analyses showed distinct rates, efficiencies, a

25 e chromatin with high-throughput sequencing (ATAC-seq) analyses revealed transcriptional and chromati

26 osase-Accessible Chromatin using sequencing (ATAC-seq) analyses.

27 While the methods available for single-cell ATAC-seq analysis are well optimized for clustering cell

28 ATAC-seq analysis in oocytes revealed that Snf2h regulat

29 Single-cell RNA-seq and ATAC-seq analysis of Hic1(+) MPs in skeletal muscle show

30 ATAC-seq analysis provided evidence that AP-1 family mem

31 ATAC-seq analysis revealed 115 genes that were different

32 ATAC-seq analysis revealed more than 2000 regions in the

33 ATAC-seq analysis reveals that VPE, PSE_a and four addit

34 Second, ATAC-seq analysis showed that CTCF sites display greatly

35 ATAC-seq analysis showed that stem-like CD8 T cells had

36 This paper presents Scasat (single-cell ATAC-seq analysis tool), a complete pipeline to process

37 We present the first dedicated ATAC-seq analysis tool, a semi-supervised machine learni

38 ATAC-seq analysis uncovers an ensemble of cis-regulatory

39 nalyzing scATAC-seq data, called Single-Cell ATAC-seq analysis via Latent feature Extraction (SCALE).

40 transposase-accessible chromatin sequencing (ATAC-seq) analysis reveals that selective chromatin acce

41 ts provide insights into the optimization of ATAC-seq and a platform for profiling open chromatin in

42 eloping maize ear and tassel primordia using ATAC-seq and characterize combinatorial epigenome featur

43 ATAC-seq and ChIP-seq data show that Cnp-E1 and Cnp-E2 a

44 ATAC-Seq and ChIP-Seq experiments revealed that CDK9i in

45 Through single-cell transcriptomics, ATAC-Seq and ChIP-Seq profiling, we expose a key role fo

46 ATAC-seq and ChIP-seq show that DMRT1 induces formation

47 the authors show, using CRISPR gene editing, ATAC-seq and ChIP-seq, that specific Runx1-bound enhance

48 Using ATAC-seq and ChIP-seq, we found that activation of JUN r

49 luding ERG, GATA2, and RUNX1, as measured by ATAC-seq and ChIP-seq.

50 d correlated with chromatin accessibility by ATAC-seq and gene expression by RNA-seq in pancreatic ca

51 Through a combination of scRNA-seq, ATAC-seq and genome-scale CRISPR-Cas9 screening, we iden

52 y the combination of experimental (ChIP-seq, ATAC-seq and GRO-seq) and computational approaches.

53 and its chromatin landscape using ChIP-seq, ATAC-seq and Hi-C.

54 our large-scale datasets of DNA methylation, ATAC-seq and histone modification ChIP-seq.

55 arget genes of islet enhancers defined using ATAC-seq and published ChIP-seq data.

56 ATAC-seq and RNA-seq analyses showed that CHD1 loss resu

57 Here, we generate time courses of paired ATAC-seq and RNA-seq data on cultured HUVECs under hypox

58 scale evaluation of TRN inference, combining ATAC-seq and RNA-seq data.

59 ChIP-seq, ATAC-seq and RNA-seq experiments reveal that CASZ1 direc

60 nisms underlying these effects, we performed ATAC-seq and RNA-seq in RNF20 knockdown FTE cell lines.

61 g to acute and chronic viral infection using ATAC-seq and RNA-seq techniques.

62 Single-cell ATAC-seq and RNA-seq were integrated with our Hi-C and p

63 e-cell regulome mapping technologies such as ATAC-seq and single-cell ATAC-seq (scATAC-seq) allow ana

64 An analysis strategy based on ATAC-seq and single-cell ATAC-seq that enriched for geno

65 Combined ATAC-seq and telomere chromatin immunoprecipitation stud

66 Here we exploited ATAC-seq and transcriptional profiling strategies to des

67 e chromatin with high-throughput sequencing (ATAC-seq) and chromatin immunoprecipitation with high-th

68 7 leads to modified chromatin accessibility (ATAC-seq) and differential nascent expression (Bru-Seq)

69 transposase-accessible chromatin sequencing (ATAC-seq) and H3K27ac ChIP-seq showed that GATA2AS is es

70 osase-accessible chromatin using sequencing (ATAC-seq) and RNA sequencing data under resting and stim

71 e chromatin with high-throughput sequencing (ATAC-seq) and RNA sequencing, respectively, in four func

72 osase-Accessible Chromatin using Sequencing (ATAC-Seq) and RNA-Seq datasets from three distinct neuro

73 osase-accessible chromatin using sequencing (ATAC-Seq) and RNA-Seq.

74 Here, we report the epigenomic (ATAC-seq) and transcriptomic (RNA-seq) landscapes of alp

75 Single-cell RNA-seq, ATAC-seq, and cellular barcoding analysis of BBDI respon

76 Whole genome-wide scRNA-seq, ATAC-seq, and ChIP-seq analyses reveal that ARID1A is re

77 nockout (KO) library, combined with RNA-seq, ATAC-seq, and ChIP-seq, we have dissected the regulatory

78 OCOA's utility by analyzing DNA methylation, ATAC-seq, and multi-omic data in supervised and unsuperv

79 ting previously published BS-seq, DNase-seq, ATAC-seq, and RNA-seq data collected during multiple sta

80 As an alternative, ATAC-seq assay is simple to conduct and provides genomic

81 CLL samples from 55 patients measured by the ATAC-seq assay.

82 e, chromatin accessibility, as determined by ATAC-seq (assay for transposase-accessible chromatin [AT

83 y micrococcal nuclease (MNase) digestion and ATAC-seq (assay for transposase-accessible chromatin [AT

84 identified for chromatin landscape based on ATAC-seq (assay for transposase-accessible chromatin usi

85 , time-course single-cell RNA sequencing and ATAC-seq (assay for transposase-accessible chromatin usi

86 two-stage least squares and applied it to an ATAC-seq (assay for transposase-accessible chromatin usi

87 ATAC-Seq (assay for transposase-accessible chromatin wit

88 Bulk ATAC-seq assays have been used to map and profile the ch

89 osase-accessible chromatin using sequencing (ATAC-seq) assays for chromatin accessibility across 72 d

90 osase accessible chromatin using sequencing (ATAC-seq) at seven time points during early neural diffe

91 These findings were further strengthened by ATAC-seq based open chromatin and TF footprint analysis

92 osase-accessible chromatin using sequencing (ATAC-seq), based on direct in vitro transposition of seq

93 ity cut-offs in the differential analysis of ATAC-seq by applying them to real data.

94 ate of 10%) and demonstrated how RASQUAL and ATAC-seq can provide powerful information for fine-mappi

95 ATAC-seq captures open chromatin sites using a simple tw

96 transposase-accessible chromatin sequencing (ATAC-seq), ChIP-seq, and RNA-seq reveal that IL-10 repre

97 and then used several global methodologies (ATAC-seq, ChIP-seq and RNA-seq) to assess the effect of

98 ven gene inactivation combined with RNA-seq, ATAC-seq, ChIP-seq, and study of patient samples suggest

99 and curate a comprehensive atlas comprising ATAC-seq, ChIP-seq, RNA-seq, and proteomics datasets.

100 BRGenomics has been used to analyze ATAC-seq, ChIP-seq/ChIP-exo, PRO-seq/PRO-cap, and RNA-se

101 on CREB-binding protein co-factor binding or ATAC-seq chromatin accessibility, and then identify thos

102 rmation derived from ChIP-seq, DNase-seq and ATAC-seq chromatin profiling assays, which map the genom

103 posase-accessible chromatin with sequencing (ATAC-seq), chromatin immunocleavage sequencing (ChIC-seq

104 osase-accessible chromatin using sequencing (ATAC-seq), chromatin immunoprecipitation with sequencing

105 posase-accessible chromatin with sequencing (ATAC-seq), chromatin immunoprecipitation with sequencing

106 e ATAC-array technology in both the original ATAC-seq cohort as well as in an independent validation

107 FANS-ATAC-seq compares favorably with published DNaseI sequen

108 Integrated RNA-seq and ATAC-seq data analyses identified a subset of differenti

109 g publicly available ChIP-seq, DNase-seq and ATAC-seq data are a valuable resource for the systematic

110 Single-cell ATAC-seq data are sparse and noisy, and analyzing such d

111 Analysis of single-cell RNA-seq/ATAC-seq data distinguished RTEs by the expression of SO

112 ssion profiling integrated with ChIP-seq and ATAC-seq data established that inactivation of Suz12 led

113 by analyzing ChIP-exo, chemical mapping, and ATAC-seq data from other laboratories.

114 By analysing Hi-C and ATAC-seq data in the butterfly Junonia coenia, we show t

115 Additionally, we find that the ATAC-seq data is able to predict ALS disease progression

116 performance of Destin using downsampled bulk ATAC-seq data of purified samples and scATAC-seq data fr

117 Since ATAC-seq data plays a crucial role in the study of the e

118 We generate a new ATAC-seq data profiling chromatin accessibility in gynec

119 ATAC-seq data provided insights into candidate genes' ac

120 However, ATAC-seq data revealed in hypoxia that peaks with STAT1

121 long-range interactions by Hi-C coupled with ATAC-seq data showed that these regions, that we call 'p

122 Analysis of single nuclei RNA-seq and ATAC-seq data shows that PV+/CCK+ cells are a subset of

123 pe 17 (Th17) differentiation, generating new ATAC-seq data to complement existing Th17 genomic resour

124 TRN inference in a mammalian setting, using ATAC-seq data to improve gene expression modeling.

125 show that DeFCoM can detect footprints using ATAC-seq data with similar accuracy as when using DNase-

126 be used to perform differential analysis of ATAC-seq data, but a comprehensive comparison and benchm

127 ChromA can analyze single cell ATAC-seq data, correcting many biases generated by the s

128 By intersecting our Capture C and ATAC-seq data, we observe consistent contacts between ca

129 sensitivity in the differential analysis of ATAC-seq data.

130 ize the large-scale ChIP-seq, DNase-seq, and ATAC-seq data.

131 RNA-seq, MNase-seq, DNase-seq, GRO-seq, and ATAC-seq data.

132 A performs well on both bulk and single-cell ATAC-seq data.

133 run on signatures generated from RNA-Seq or ATAC-Seq data.

134 ing endogenous mitochondrial DNA variants in ATAC-seq data.

135 matin coupled to high-throughput sequencing (ATAC-seq) data, we found that the latent HIV-1 promoter

136 e chromatin with high-throughput sequencing (ATAC-seq) data.

137 On the ATAC-seq dataset and RNA-seq dataset, ClusterATAC has ac

138 HMMRATAC splits a single ATAC-seq dataset into nucleosome-free and nucleosome-enr

139 Assessment on 129 ATAC-seq datasets from the Cistrome Data Browser demonst

140 d that single-end sequenced or size-selected ATAC-seq datasets result in a loss of sensitivity compar

141 tor-induced differentiation or reprogramming ATAC-seq datasets suggests that induction of these facto

142 r peak-calling algorithms on published human ATAC-seq datasets.

143 acterization of chromatin accessibility from ATAC-seq datasets.

144 Furthermore, chromatin assays (ATAC-seq) demonstrate that Opa, like Zld, influences chr

145 ATAC-seq demonstrated a distinct epigenetic landscape of

146 ATAC-seq demonstrated ERK-driven changes in chromatin ac

147 sase-Accessible Chromatin (ATAC) sequencing (ATAC-seq) demonstrated that H2-Aa, H2-Ab1 and other MHCI

148 ATAC-seq demonstrates that Vpr-mediated SLF2 depletion i

149 Our data further indicate that ATAC-seq detects cell-specific regulatory elements for c

150 Single-cell ATAC-seq detects open chromatin in individual cells.

151 mical cleavage-seq) or nonnucleosomal (e.g., ATAC-seq) DNA but lose track of the total DNA population

152 g single-cell technologies (e.g. single-cell ATAC-seq, DNase-seq or ChIP-seq) have made it possible t

153 brain eQTLs, histone modification ChIP-seq, ATAC-seq, DNase-seq, and Hi-C results from publicly avai

154 d real datasets from single-cell RNA-seq and ATAC-seq experiments demonstrates its capability of dete

155 Here, we performed ATAC-seq experiments on isolated E9.5 tailbud tissue, wh

156 riety of ChIP-seq, DNase-seq, FAIRE-seq, and ATAC-seq experiments, we show that our weight-adjusted r

157 from 30 cells can offer better accuracy than ATAC-seq from 500 cells.

158 for zebrafish fin regeneration, we performed ATAC-seq from bulk tissue or purified fibroblasts of uni

159 single-cell data such as HiChIP, RNA-seq and ATAC-seq from the same heterogeneous cell population.

160 A second round of ATAC-seq from these specific neuron subsets revealed add

161 ATAC-seq further demonstrated that BPTF increases chroma

162 ethylase influenced chromatin accessibility (ATAC-Seq), gene expression (RNA-Seq), and adipocyte diff

163 e chromatin with high-throughput sequencing (ATAC-seq) generates genome-wide chromatin accessibility

164 Here, we use ATAC-seq, genome-wide histone modification mapping, and

165 ATAC-seq has become a leading technology for probing the

166 ATAC-seq has been widely adopted to identify accessible

167 osase-accessible chromatin using sequencing (ATAC-Seq) has become a fundamental tool of epigenomic re

168 chitecture by integrating RNA-seq, ChIP-seq, ATAC-seq, Hi-C, and Hi-ChIP data.

169 Here, we collect ATAC-seq, Hi-C, Capture Hi-C and nuclear RNA-seq data in

170 transposase accessible chromatin sequencing (ATAC-seq) identifies nucleosome-depleted (open) chromati

171 ATAC-Seq in knockout MEFs revealed that actin-dependent

172 n, we compared chromatin accessibility using ATAC-seq in sorted prosensory cells (Sox2-EGFP(+)) and s

173 Conceptually, DIVA is similar to ATAC-seq in that it relies on the integration of exogeno

174 We performed single-cell ATAC-seq in zebrafish brain, which delineated 25 differe

175 assay for transposase-accessible chromatin (ATAC-seq) in four plant species (Arabidopsis thaliana, M

176 transposase accessible chromatin sequencing (ATAC-seq) in mouse sperm and found nucleosome enrichment

177 profiled DNA methylation and open chromatin (ATAC-seq) in SSEA4(+) hSSCs, analyzed bulk and single-ce

178 transposase-accessible chromatin sequencing (ATAC-seq) in two islet samples enabled us to identify sp

179 ATAC-seq), which implements modifications to ATAC-seq, including subjecting the output to BS-seq.

180 osase-accessible chromatin using sequencing (ATAC-seq) indicate that Srebp2 transregulates Notch path

181 osase-accessible chromatin using sequencing (ATAC-seq) integrated into a programmable microfluidics p

182 ATAC-seq is a high-throughput sequencing technique that

183 ATAC-seq is a recently developed method to identify the

184 ATAC-seq is a widely-applied assay used to measure genom

185 ATAC-seq is widely used to measure chromatin accessibili

186 Transposase Accessible Chromatin sequencing (ATAC-seq) is a recently developed technique used to map

187 Transposase-Accessible Chromatin sequencing (ATAC-Seq) is a widely used technique to explore gene reg

188 nsposase-accessible chromatin by sequencing (ATAC-seq) is rapidly becoming the assay of choice to inv

189 Applying this methodology to the original ATAC-seq libraries as well as independent libraries gene

190 ATAC-seq libraries for roughly 12 samples can be generat

191 approaches to decrease wasted sequencing in ATAC-seq libraries generated from lymphoblastoid cell li

192 A main advantage of KAS-ATAC-seq lies in its precise measurement of ssDNA levels

193 ATAC-seq maps from primary human cells reveal individual

194 Using ATAC-seq maps of human CD4(+) T cells from a proband obt

195 ultiplicity of sequence signals in DNase- or ATAC-seq maps.

196 aps that are indistinguishable from the best ATAC-seq maps.

197 Here, we describe methyl-ATAC-seq (mATAC-seq), which implements modifications to

198 quality, ultimately resulting in a modified ATAC-seq method capable of generating high quality chrom

199 Accessible Chromatin followed by sequencing (ATAC-seq) method can be performed using fewer cells than

200 AMULET (ATAC-seq MULtiplet Estimation Tool) enumerates regions w

201 As such, neither methods developed for bulk ATAC-seq nor single-cell RNA-seq data are appropriate.

202 itu mRNA hybridization, and most importantly ATAC-Seq of FACS-isolated nuclei, to show that cardiac E

203 osase-accessible chromatin using sequencing (ATAC-seq) of skin in wild-type and IRF6-deficient mouse

204 osase-accessible chromatin using sequencing (ATAC-seq) of wild-type FOXA1 and representative Wing2 an

205 nd regulatory network function, we performed ATAC-seq on Drosophila embryos during the establishment

206 could lead to cost reduction when performing ATAC-seq on large numbers of samples and in cell types t

207 a unique epigenomic landscape, we performed ATAC-seq on mouse rods and their most closely related ce

208 of these data with epigenome data, including ATAC-seq on skeletal muscle, and transcriptome data acro

209 We used ATAC-seq on sorted neonatal mouse SAN to compare regions

210 e chromatin with high-throughput sequencing (ATAC-Seq) on monocytes from patients with malaria showed

211 ng depth method, EpiMethylTag, that combines ATAC-seq or ChIP-seq (M-ATAC or M-ChIP) with bisulfite c

212 l RNA for mRNA-seq and mitochondrial DNA for ATAC-seq, our method allows for greater proportional rea

213 ent methods (e.g. H3K4me1/H3K27ac, DNase-seq/ATAC-seq, P300, POLR2A, CAGE, ChIA-PET, GRO-seq, STARR-s

214 by investigating the activity of overlapping ATAC-seq peaks along with a full tiling of the acetylate

215 Of note, ATAC-seq peaks in cells expressing R219 mutants lacked t

216 ssDNA levels within both proximal and distal ATAC-seq peaks, enabling the identification of transcrip

217 precisely locate the active enhancers within ATAC-seq peaks.

218 Lastly, we performed an additional sci-ATAC-seq preparation from cultured hippocampal neurons (

219 Distilling functional regions from ATAC-seq presents diverse analysis challenges.

220 Transposase Accessible Chromatin sequencing (ATAC-seq) produce genome-wide data that include distinct

221 SnapATAC is applied to 55,592 single-nucleus ATAC-seq profiles from the mouse secondary motor cortex.

222 Furthermore, a comparison of ATAC-seq profiles of three ASCP and three PDAC genomes u

223 omics data across the whole genome (Such as ATAC-seq profiles).

224 TF sequence signals from ChIP-, DNase-, and ATAC-seq profiles.

225 ever, at the chromatin level, utilization of ATAC-Seq profiling demonstrated a dramatic remodeling of

226 Comparative ATAC-seq profiling of Arabidopsis root hair and non-hair

227 By ATAC-seq, progression was associated with reconfiguratio

228 ained by preparing samples with the original ATAC-seq protocol (using detergent) and treating them wi

229 We present Omni-ATAC, an improved ATAC-seq protocol for chromatin accessibility profiling

230 osase-accessible chromatin using sequencing (ATAC-seq) protocol for limited-amount clinical samples,

231 Because current ATAC-seq protocols are not optimized to use flies, we de

232 When done at single-cell resolution, ATAC-seq provides an insight into the cell-to-cell varia

233 osase-Accessible Chromatin using sequencing (ATAC-seq) provides insight on TFBSs and nucleosome posit

234 chromatin accessibility data (DNase-seq and ATAC-seq) published before January 1, 2016, including 13

235 ly, 22% MHSs are not covered by DNase-seq or ATAC-seq reads, which are referred to "specific MHSs" (s

236 ATAC-seq requires a relatively small number of input cel

237 Integrative transcriptome analysis and ATAC-seq revealed a significant dysregulation of transcr

238 ATAC-seq revealed that Chi3l1 increases accessibility of

239 n and H3K79me2 profiling in conjunction with ATAC-seq, revealed a permissive genomic environment for

240 posase-Accessible Chromatin with sequencing (ATAC-seq) reveals chromatin accessibility across the gen

241 When tested on 12 ChIP-seq, ATAC-seq, RNA-seq and ChIA-PET datasets, pyBedGraph is o

242 beta cell responses to IFNalpha by combining ATAC-seq, RNA-seq and proteomics assays.

243 172 healthy adults 22-93 years of age using ATAC-seq, RNA-seq, and flow cytometry.

244 ne the most similar ChIP-seq, DNase-seq, and ATAC-seq samples in terms of genomic interval overlaps w

245 Depending on the cell type, ATAC-seq samples may contain 20-80% of mitochondrial seq

246 tprints from human PBMC and pancreatic islet ATAC-seq samples to show its utility to identify putativ

247 F footprint calls obtained from EndoC-betaH1 ATAC-seq samples using three different algorithms (CENTI

248 Single-cell ATAC-seq (scATAC) yields sparse data that make conventio

249 echnologies such as ATAC-seq and single-cell ATAC-seq (scATAC-seq) allow analyses of small-cell-numbe

250 Single-cell ATAC-seq (scATAC-seq) maps from hundreds of single cells

251 Single-cell ATAC-seq (scATAC-seq) profiles the chromatin accessibili

252 Differential analysis of ATAC-seq shares many similarities with differential expr

253 posase-accessible chromatin with sequencing (ATAC-Seq) showed decreased chromatin accessibility at pr

254 However, the distribution of ATAC-seq signal intensity is different from that of RNA-

255 ct correction and visualization of corrected ATAC-seq signals in a genome browser.

256 on, coincident with DNase hypersensitive and ATAC-seq sites at a low sequencing burden.

257 Sperm distal ATAC-seq sites containing motifs for various transcripti

258 -cell RNA-seq (scRNA-seq) and single-nucleus ATAC-seq (snATAC-seq) data, but similar steps apply acro

259 SMAD3 ChIP-seq and ATAC-seq suggested that TGFbeta-mediated H3K9ac occurs t

260 The broader applicability of this modified ATAC-seq technique was tested using cryopreserved nuclei

261 ysed human neuronal cells using ChIP-seq and ATAC-seq technologies.

262 ATAC-seq technology effectively identifies active cis-RE

263 and biological differences intrinsic to the ATAC-seq technology.

264 to integrate all Th17 data (gene expression, ATAC-seq, TF knockouts, and ChIP-seq).

265 s strategy based on ATAC-seq and single-cell ATAC-seq that enriched for genomic regions most likely t

266 scription factor binding, as well as DHS and ATAC-seq that yield coverage files for chromatin accessi

267 egions of open chromatin in the inner ear by ATAC-seq that, in combination with Gli2 ChIP-seq, identi

268 Here we survey, using ATAC-seq, the active DNA regulatory elements of eight ty

269 while flash-frozen iMNs are not suitable for ATAC-Seq, the assay is successful with slow-cooled cryop

270 In this study, we use ATAC-seq to identify chromatin accessibility changes in

271 Applying spatial FFPE-ATAC-seq to mouse and human tissues, including brain and

272 We used RNA-seq and ATAC-seq to probe the transcriptional and epigenetic res

273 We used sci-ATAC-seq to produce 2346 high-quality single-cell chroma

274 Here we use ATAC-seq to profile the chromatin structure in four dist

275 Application of ATAC-seq to sorted nuclei identifies accessible regions

276 Applying spatial-ATAC-seq to tonsil tissue resolved the spatially distinc

277 Assay for Transposase Accessible Sequencing (ATAC-seq) to biobanked specimens is described and was us

278 e Chromatin with high-throughput sequencing (ATAC-seq) to define chromatin accessibility in predicted

279 e chromatin with high-throughput sequencing (ATAC-seq) to genotype and profile active regulatory DNA

280 transposase-accessible chromatin sequencing (ATAC-seq) to investigate epigenetic mechanisms underlyin

281 Accessible Chromatin followed by sequencing (ATAC-seq) to neuronal and non-neuronal nuclei isolated f

282 Assay for Transposase-Accessible Chromatin (ATAC-seq) to profile chromatin accessibility has surged

283 osase-accessible chromatin using sequencing (ATAC-seq)) to a state strongly resembling that of mouse

284 Transposase-accessible chromatin sequencing (ATAC-seq) was performed in MFD-1, OE33, and non-neoplast

285 osase-Accessible Chromatin using sequencing (ATAC-seq) was used to investigate changes in chromatin a

286 matin coupled to high-throughput sequencing (ATAC-Seq), we first find that the regenerating cardiomyo

287 e chromatin with high-throughput sequencing (ATAC-seq), we identified accessible chromatin within end

288 e assay of transposase accessible chromatin (ATAC-seq), we observe a highly structured pattern of DNA

289 e chromatin with high-throughput sequencing (ATAC-seq), we show that the histone deacetylase inhibito

290 Using a new approach of allelic ATAC-seq, we demonstrate that the Igkappa V alleles have

291 o and genome-wide chromatin accessibility by ATAC-seq, we found that the occupancy of target sequence

292 nd characterizing chromatin accessibility by ATAC-seq, we identify the likely molecular mechanisms un

293 ezing neuronal cells that is compatible with ATAC-Seq; we focused on a disease-relevant cell type, na

294 A popular example is ATAC-seq, whereby Tn5 transposase inserts sequencing ada

295 osase-Accessible Chromatin using Sequencing (ATAC-Seq), which revealed an association between decreas

296 osase-accessible chromatin using sequencing (ATAC-seq), which uses Tn5 transposase to sequence protei

297 seq, which is based on nuclease DNase I, and ATAC-seq, which is based on transposase Tn5, have been w

298 Given the popularity of ATAC-seq, which provides high-resolution with low sample

299 Here, we describe an assay combining ATAC-seq with fluorescence-activated nuclei sorting (FAN

300 Integrating ATAC-seq with predictions from RNA-seq increases the pow