The bill adoption of Municipal Ordinance in local assembly: Centered on Seoul Metropolitan Council

2021 ◽  
Vol 16 (1) ◽  
pp. 145-169
Author(s):  
Kyoungdon Park ◽  
Keyword(s):  
Local Assembly

scholarly journals Nippon Kaigi: Gerakan Kebangkitan Nasionalisme Jepun

2020 ◽  
Vol 9 (1) ◽  
pp. 1-18
Author(s):  
Asmadi Hassan ◽  
Abdul Rasyid Mokhtar
Keyword(s):  
Japanese Society ◽  
Right Wing ◽  
Pressure Group ◽  
Ordinary People ◽  
Religious Groups ◽  
New Approach ◽  
Political Propaganda ◽  
Local Assembly

Nippon Kaigi is an influential right-wing pressure group in Japan. Its membership is not only among the ordinary people but also influential politicians, professionals, businessmen, religious groups, academics and chief justices. Their goal is to build a nation whose people are proud to be citizens (nationalism). The article discusses the movement by Nippon Kaigi to nurture nationalism in Japan and how it achieved its goals. The article is divided into several parts, namely the introduction of Nippon Kaigi, the oddity of current Japanese society which led to the need for a spirit of nationalism and the movement in Japan. The study found that the activities of this organization are not through violence but by political propaganda activities. In order to disseminate its ideology among the citizens, it holds assemblies, collecting signatures and calls for local assembly approval across the country. In other words, Nippon Kaigi has employed a new approach to advance right-wing movements.

scholarly journals Somatic variant analysis of linked-reads sequencing data with Lancet

2020 ◽  
Author(s):  
Rajeeva Musunuri ◽  
Kanika Arora ◽  
André Corvelo ◽  
Minita Shah ◽  
Jennifer Shelton ◽  
...  
Keyword(s):  
Supplementary Information ◽  
De Bruijn Graph ◽  
Haplotype Structure ◽  
Sequencing Data ◽  
Somatic Variant ◽  
Local Assembly ◽  
De Bruijn ◽  
Variant Analysis ◽  
Colored De Bruijn Graph ◽  
Commercial Research

Abstract Summary We present a new version of the popular somatic variant caller, Lancet, that supports the analysis of linked-reads sequencing data. By seamlessly integrating barcodes and haplotype read assignments within the colored De Bruijn graph local-assembly framework, Lancet computes a barcode-aware coverage and identifies variants that disagree with the local haplotype structure. Availability and implementation Lancet is implemented in C++ and available for academic and non-commercial research purposes as an open-source package at https://github.com/nygenome/lancet. Supplementary information Supplementary data are available at Bioinformatics online.

Patterns in the local assembly of Egyptian rodent faunas: Co-occurrence and nestedness

2011 ◽  
Vol 75 (1) ◽  
pp. 14-19 ◽  
Author(s):  
M. Abu Baker ◽  
B.D. Patterson
Keyword(s):  
Local Assembly

Political Church: The Local Assembly as Embassy of Christ's Rule

2017 ◽  
Vol 18 (8) ◽  
pp. 763-765
Author(s):  
Myles Werntz
Keyword(s):  
Local Assembly

scholarly journals SvABA: Genome-wide detection of structural variants and indels by local assembly

2017 ◽  
Author(s):  
Jeremiah Wala ◽  
Pratiti Bandopadhayay ◽  
Noah Greenwald ◽  
Ryan O’Rourke ◽  
Ted Sharpe ◽  
...  
Keyword(s):  
Variant Calling ◽  
Accurate Method ◽  
Structural Variants ◽  
Sequencing Data ◽  
Cancer Driver ◽  
Insertion And Deletion ◽  
Genome Wide ◽  
Cancer Genomes ◽  
Local Assembly ◽  
Genomic Regions

AbstractStructural variants (SVs), including small insertion and deletion variants (indels), are challenging to detect through standard alignment-based variant calling methods. Sequence assembly offers a powerful approach to identifying SVs, but is difficult to apply at-scale genome-wide for SV detection due to its computational complexity and the difficulty of extracting SVs from assembly contigs. We describe SvABA, an efficient and accurate method for detecting SVs from short-read sequencing data using genome-wide local assembly with low memory and computing requirements. We evaluated SvABA’s performance on the NA12878 human genome and in simulated and real cancer genomes. SvABA demonstrates superior sensitivity and specificity across a large spectrum of SVs, and substantially improved detection performance for variants in the 20-300 bp range, compared with existing methods. SvABA also identifies complex somatic rearrangements with chains of short (< 1,000 bp) templated-sequence insertions copied from distant genomic regions. We applied SvABA to 344 cancer genomes from 11 cancer types, and found that templated-sequence insertions occur in ~4% of all somatic rearrangements. Finally, we demonstrate that SvABA can identify sites of viral integration and cancer driver alterations containing medium-sized SVs.

scholarly journals LinkedSV for detection of mosaic structural variants from linked-read exome and genome sequencing data

2018 ◽  
Author(s):  
Li Fang ◽  
Charlly Kao ◽  
Michael V Gonzalez ◽  
Fernanda A Mafra ◽  
Renata Pellegrino da Silva ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Read Depth ◽  
Structural Variants ◽  
Sequencing Data ◽  
High Coverage ◽  
Short Read ◽  
Short Read Sequencing ◽  
Sequencing Studies ◽  
Long Read ◽  
Local Assembly

AbstractLinked-read sequencing provides long-range information on short-read sequencing data by barcoding reads originating from the same DNA molecule, and can improve the detection and breakpoint identification for structural variants (SVs). We present LinkedSV for SV detection on linked-read sequencing data. LinkedSV considers barcode overlapping and enriched fragment endpoints as signals to detect large SVs, while it leverages read depth, paired-end signals and local assembly to detect small SVs. Benchmarking studies demonstrates that LinkedSV outperforms existing tools, especially on exome data and on somatic SVs with low variant allele frequencies. We demonstrate clinical cases where LinkedSV identifies disease causal SVs from linked-read exome sequencing data missed by conventional exome sequencing, and show examples where LinkedSV identifies SVs missed by high-coverage long-read sequencing. In summary, LinkedSV can detect SVs missed by conventional short-read and long-read sequencing approaches, and may resolve negative cases from clinical genome/exome sequencing studies.

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