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782 results for “Conflict”
Excessive transcription-replication conflicts are a vulnerability of BRCA1-mutant cancers
GEO Series GSE173223. Homo sapiens. 14 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Targeting transcription-replication conflicts is an effective therapeutic principle for MYCN-driven neuroblastoma [ChIPseq_IMR5]
GEO Series GSE152476. Homo sapiens. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide Mapping of Topoisomerase Binding Sites Suggests Topoisomerase 3a (TOP3A) as a Reader of Transcription-Replication Conflicts (TRC)
GEO Series GSE269841. Homo sapiens. 15 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Depletion of BRD9-mediated R-loop accumulation inhibits leukemia cell growth via transcription-replication conflict
GEO Series GSE300622. Homo sapiens. 4 samples. Type: Other.
Targeting transcription-replication conflicts is an effective therapeutic principle for MYCN-driven neuroblastoma [4SU-seq]
GEO Series GSE144287. Homo sapiens. 17 samples. Type: Other.
CDK12 prevents MYC-induced transcription-replication conflicts [EU-seq]
GEO Series GSE236549. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
KCTD10 is a sensor for co-directional transcription-replication conflicts
GEO Series GSE295262. Homo sapiens. 5 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The MYCN oncoprotein resolves conflicts of stalling RNA Polymerase with the replication fork [DP_EXOSC10_ChIP_4sUseq]
GEO Series GSE164555. Homo sapiens. 84 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
CDK12 prevents MYC-induced transcription-replication conflicts [ChIP-seq]
GEO Series GSE236546. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Antagonistic conflict between transposon-encoded introns and guide RNAs (RIP-Seq)
GEO Series GSE261342. Escherichia coli. 4 samples. Type: Other.
Antagonistic conflict between transposon-encoded introns and guide RNAs
GEO Series GSE261344. Escherichia coli; Clostridium senegalense. 8 samples. Type: Other; Expression profiling by high throughput sequencing.
Transcription-Replication conflicts are linked to histone H3K79 methylation and R-loop dependent nucleosome eviction [ChIPseq]
GEO Series GSE267495. Homo sapiens. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The MYCN oncoprotein resolves conflicts of stalling RNA Polymerase with the replication fork [DP_EXOSC10_BLISS]
GEO Series GSE164567. Homo sapiens. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict
<p>We present a dataset that collects tweets from news media channels worldwide that pertain to the Russo-Ukrainian war. This dataset spans a period of February 2022-May 2023. The dataset is unique in its global scope, encompassing tweets in various languages and from different parts of the world. Additionally, we extracted information about the stance, sentiment, prominent entities & concepts that occur in tweets to be able to answer questions about the discourse: who says what (prominent entities), who stands (stance) where on what aspect (prominent concepts), how are the aspects portrayed (sentiment). We also downloaded the images attached to the post and classified them to extract image tags for each image. The dataset includes 1,524,826 tweets, out of which 306,295 tweets have images, for 60 languages.<br><br>The source code for the collection and processing of tweets can be found on here: <a href="https://github.com/sherzod-hakimov/ru-ua-news-discourse-twitter"><em>https://github.com/sherzod-hakimov/ru-ua-news-discourse-twitter</em></a></p> <p>Each entry in the dataset is a single JSON line and has the following entries:</p> <pre><code>{ 'tweet_id': 'lang': 'stanza_output': 'stanza_named_entities': 'sentiment': 'stance': 'channel': 'country': 'verified':<br>'image_tags': }</code></pre> <pre> </pre> <p><em><strong>If you need access to the full text of the dataset, please</strong> <strong>contact us via an email: <a href="mailto:sherzodhakimov@gmail.com">sherzodhakimov (at sign) gmail.com</a></strong></em><br><br>If you find the resources useful, please cite us:<br><br>```</p> <p>@inproceedings{hakimov2023unveiling,<br> title={Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict}, <br> author={Sherzod Hakimov and Gullal S. Cheema},<br> booktitle={Proceedings of the 2024 {ACM} International Conference on Multimedia Retrieval, {ICMR} 2024},<br> year={2024}<br>}<br>```</p>
Figure 1 in The phylogeny of charadriiform birds (shorebirds and allies) - reassessing the conflict between morphology and molecules
Figure 1. Charadriiform interrelationships resulting from analysis of nuclear and mitochondrial gene sequences (after Baker, Pereira & Paton, 2007; for simplicity, paraphyly of Sternidae is not shown).
Figure 2 in The phylogeny of charadriiform birds (shorebirds and allies) - reassessing the conflict between morphology and molecules
Figure 2. Previous hypotheses on the phylogeny of charadriiform birds based on analyses of morphological data. A, tree resulting from an analysis of 70 morphological characters by Strauch (1978). B, tree resulting from reanalysis of Strauch's data by Björklund (1994). C, tree resulting from reanalysis of Strauch's data by Chu (1995). D, tree resulting from an analysis of 2954 morphological characters by Livezey & Zusi (2007).
FIGURE 3 in Resolving the conflictive phylogenetic relationships of Oceanites (Oceanitidae: Procellariiformes) with the description of a new species
FIGURE 3. Biogeography and diversification of Oceanites genera plotted on consensus tree based on Cytb gene. Pie charts indicate ancestral range states at each node according to DIVALIKE+j model in BioGeoBears: A) South-east Pacific; B) Southern Ocean (including Antarctica); and C) Atlantic. Outgroups are not shown.
FIGURE S2 in Resolving the conflictive phylogenetic relationships of Oceanites (Oceanitidae: Procellariiformes) with the description of a new species
FIGURE S2. Calibrated phylogeny of Oceanites and related taxa based on BEAST analysis generated from Cytb sequence. Node numbers are node age in millions of years ago. Dark bars represent 95% highest probability density surrounding divergence times.
FIGURE 1. Spectral analysis results for a hypothetical data set. Each bar represents a in Exploring character conflict in molecular data*
FIGURE 1. Spectral analysis results for a hypothetical data set. Each bar represents a different split in the tree. Bars above the x-axis represent the relative degree to which the data support that split. Bars below the x-axis represent the relative degree to which the data support relationships that conflict with (i.e. are incompatible with) that split. In this example, there is significant phylogenetic signal for relationships that conflict with splits 3, 5, 8 and 11.
Figure 8 in Congruence and conflict: case studies of morphotaxonomy versus rDNA gene tree phylogeny among articulate brachiopods (Brachiopoda: Rhynchonelliformea), with description of a new genus
Figure 8. Ebiscothyris bellonensis gen. et sp. nov., cruise EBISCO, Coral Sea, South-West Pacific, SEM micrographs: A, inner view of ventral valve to show symphytium with a weak line of junction, and small teeth, paratype, CP 2616, 786–836 m depth, IB-2013-4; B–E, inner, tilted, posterior, and side views of dorsal valve to show brachidium and cardinalia, paratype, CP 2557, 800–923 m depth, IB-2013-5; F, inner view of posterior part of complete specimen to show tubular pedicle collar and cardinal process, paratype, CP 2616, 786–836 m depth, IB-2013-6. Scale bars: 1 mm.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.