A novel approach to carbon hollow spheres and vessels from CCl4 at low temperaturesElectronic supplementary information (ESI) available: mass and GC spectra. See http://www.rsc.org/suppdata/cc/b2/b211996j/

2003 ◽  
pp. 904-905 ◽  
Author(s):  
Yujie Xiong ◽  
Yi Xie ◽  
Zhengquan Li ◽  
Changzheng Wu ◽  
Rong Zhang
Keyword(s):  
Hollow Spheres ◽  
Supplementary Information ◽  
Novel Approach ◽  
Carbon Hollow Spheres

Activation of nanosized carbon shells on carbon hollow spheres under water vapor

2005 ◽  
Vol 22 (1) ◽  
pp. 42-45 ◽  
Author(s):  
Jae Kwang Lee ◽  
Sang Yun Han ◽  
Seung-Kyu Park ◽  
Yong-Ki Park ◽  
Chul Wee Lee
Keyword(s):  
Water Vapor ◽  
Hollow Spheres ◽  
Carbon Hollow Spheres

Two-dimensional MoN@N-doped carbon hollow spheres as an anode material for high performance lithium-ion battery

2019 ◽  
Vol 295 ◽  
pp. 246-252 ◽  
Author(s):  
Jianbiao Wang ◽  
Chengyu Yang ◽  
Jingjing Wang ◽  
Lijing Han ◽  
Mingdeng Wei
Keyword(s):  
Lithium Ion Battery ◽  
Anode Material ◽  
High Performance ◽  
Hollow Spheres ◽  
Lithium Ion ◽  
Two Dimensional ◽  
Carbon Hollow Spheres

scholarly journals Pristine mesoporous carbon hollow spheres as safe adjuvants induce excellent Th2-biased immune response

Nano Research ◽  
2017 ◽  
Vol 11 (1) ◽  
pp. 370-382 ◽  
Author(s):  
Manasi Jambhrunkar ◽  
Meihua Yu ◽  
Hongwei Zhang ◽  
Prasanna Abbaraju ◽  
Anand Kumar Meka ◽  
...  
Keyword(s):  
Immune Response ◽  
Mesoporous Carbon ◽  
Hollow Spheres ◽  
Carbon Hollow Spheres

scholarly journals PathScore: a web tool for identifying altered pathways in cancer data

2016 ◽  
Author(s):  
Stephen G. Gaffney ◽  
Jeffrey P. Townsend
Keyword(s):  
Web Application ◽  
Somatic Mutations ◽  
Supplementary Information ◽  
Web Tool ◽  
Cancer Data ◽  
Link Type ◽  
Novel Approach ◽  
Supplementary Material ◽  
User Friendly ◽  
Pathway Effect

ABSTRACTSummaryPathScore quantifies the level of enrichment of somatic mutations within curated pathways, applying a novel approach that identifies pathways enriched across patients. The application provides several user-friendly, interactive graphic interfaces for data exploration, including tools for comparing pathway effect sizes, significance, gene-set overlap and enrichment differences between projects.Availability and ImplementationWeb application available at pathscore.publichealth.yale.edu. Site implemented in Python and MySQL, with all major browsers supported. Source code available at github.com/sggaffney/pathscore with a GPLv3 [email protected] InformationAdditional documentation can be found at http://pathscore.publichealth.yale.edu/faq.

Synthesis of Carbon Hollow Spheres by a Reaction of Hexachlorobutadiene with Sodium Azide

2004 ◽  
Vol 33 (5) ◽  
pp. 532-533 ◽  
Author(s):  
Liang Shi ◽  
Yunle Gu ◽  
Luyang Chen ◽  
Zeheng Yang ◽  
Jianhua Ma ◽  
...  
Keyword(s):  
Sodium Azide ◽  
Hollow Spheres ◽  
Carbon Hollow Spheres

scholarly journals Studying 3D genome evolution using genomic sequence

2019 ◽  
Author(s):  
Raphaël Mourad
Keyword(s):  
Genome Evolution ◽  
High Throughput Sequencing ◽  
Genomic Sequence ◽  
Regulation Of Gene Expression ◽  
Replication Timing ◽  
Three Dimensions ◽  
Supplementary Information ◽  
3D Genome ◽  
Chromatin Looping ◽  
Novel Approach

Abstract Motivation The three dimensions (3D) genome is essential to numerous key processes such as the regulation of gene expression and the replication-timing program. In vertebrates, chromatin looping is often mediated by CTCF, and marked by CTCF motif pairs in convergent orientation. Comparative high-throughput sequencing technique (Hi-C) recently revealed that chromatin looping evolves across species. However, Hi-C experiments are complex and costly, which currently limits their use for evolutionary studies over a large number of species. Results Here, we propose a novel approach to study the 3D genome evolution in vertebrates using the genomic sequence only, e.g. without the need for Hi-C data. The approach is simple and relies on comparing the distances between convergent and divergent CTCF motifs by computing a ratio we named the 3D ratio or ‘3DR’. We show that 3DR is a powerful statistic to detect CTCF looping encoded in the human genome sequence, thus reflecting strong evolutionary constraints encoded in DNA and associated with the 3D genome. When comparing vertebrate genomes, our results reveal that 3DR which underlies CTCF looping and topologically associating domain organization evolves over time and suggest that ancestral character reconstruction can be used to infer 3DR in ancestral genomes. Availability and implementation The R code is available at https://github.com/morphos30/PhyloCTCFLooping. Supplementary information Supplementary data are available at Bioinformatics online.

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