• Title/Summary/Keyword: high-throughput tool

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In silico High-Throughput Screening by Hierarchical Chemical DB Search by 3D Pharmacophore Model

  • Shin, Jae-Min
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.181-182
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    • 2002
  • Recentadvancesin '-omics ' technologies enable us to discover more diverse disease- relevant target proteins, which encourages us to find out more target-specific novel lead compounds as new drug candidates. Therefore, high-throughput screening (HTS) becomes an essential tool in this area. Among many HTS tools, in silico HTS is a very fast and cost-effective tool to try to derive a new lead compound for any new targets, especially when the target protein structures are known or readily modeled. (omitted)

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Hardware Design and Implementation of Block Encryption Algorithm ARIA for High Throughput (High Throughput을 위한 블록 암호 알고리즘 ARIA의 하드웨어 설계 및 구현)

  • Yoo, Heung-Ryol;Lee, Sun-Jong;Son, Yung-Deug
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.104-109
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    • 2018
  • This paper presents a hardware design for the block encryption algorithm of ARIA which is used for standard in Korea. It presents a hardware-efficient design to increase the throughput for the ARIA algorithm using a high-speed pipeline architecture. We have used ROM for the S-box implementation. This approach aims to decrease the critical path delay of the encryption. In this paper, hardware was designed by VHDL, realized RTL level by Synplify which is synthesis tool and verified simulation by ModelSim. The ARIA algorithm is shown 68.3 MHz (Maximum operation frequency) to use Xilinx VertxE XCV Series device.

The Principles and Applications of High-Throughput Sequencing Technologies

  • Jun-Yeong Lee
    • Development and Reproduction
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    • v.27 no.1
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    • pp.9-24
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    • 2023
  • The advancement in high-throughput sequencing (HTS) technology has revolutionized the field of biology, including genomics, epigenomics, transcriptomics, and metagenomics. This technology has become a crucial tool in many areas of research, allowing scientists to generate vast amounts of genetic data at a much faster pace than traditional methods. With this increased speed and scale of data generation, researchers can now address critical questions and gain new insights into the inner workings of living organisms, as well as the underlying causes of various diseases. Although the first HTS technology have been introduced about two decades ago, it can still be challenging for those new to the field to understand and use effectively. This review aims to provide a comprehensive overview of commonly used HTS technologies these days and their applications in terms of genome sequencing, transcriptome, DNA methylation, DNA-protein interaction, chromatin accessibility, three-dimensional genome organization, and microbiome.

High-Throughput DNA Extraction Method for Marker Analysis in Rice Grain (대량의 쌀 시료 분석을 위한 DNA 추출법)

  • Choi, Young-Deok;Lee, Hae-Kwang;Lee, Yun-Suk;Yun, Jeong-Hee;Kim, Su-Jeong;Park, Seong-Whan
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.51 no.spc1
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    • pp.269-273
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    • 2006
  • The study of molecular markers to improve crops largely depends on the availability of rapid and of efficient DNA extraction methods. Here we developed a cheap and convenient method to isolate genomic DNA from rice grains suitable for large-scale microsatellite analysis. We confirmed that the isolated rice DNA is suitable for PCR analysis with STS marker and SNP marker, as well as microsatellite marker. Further, we established high-throughput DNA extraction system in a 96-well plate format which make it possible high-throughput analysis of microsatellite markers with rice grains. This implies that the new method could be a useful tool for other types of marker analysis in large scale.

Slipchip Device Development in Molecular Diagnostics

  • Qingtian Yin;Huiwen Bai;Ruijie Li;Youngung Seok
    • Korean Journal of Materials Research
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    • v.34 no.2
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    • pp.63-71
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    • 2024
  • Slipchip offers advantages such as high-throughout, low cost, and simple operation, and therefore, it is one of the technologies with the greatest potential for high-throughput, single-cell, and single-molecule analyses. Slipchip devices have achieved remarkable advances over the past decades, with its simplified molecular diagnostics gaining particular attention, especially during the COVID-19 pandemic and in various infectious diseases scenarios. Medical testing based on nucleic acid amplification in the Slipchip has become a promising alternative simple and rapid diagnostic tool in field situations. Herein, we present a comprehensive review of Slipchip device advances in molecular diagnostics, highlighting its use in digital recombinase polymerase amplification (RPA), loop-mediated isothermal amplification (LAMP), and polymerase chain reaction (PCR). Slipchip technology allows users to conduct reliable droplet transfers with high-throughput potential for single-cell and molecule analyses. This review explores the device's versatility in miniaturized and rapid molecular diagnostics. A complete Slipchip device can be operated without special equipment or skilled handling, and provides high-throughput results in minimum settings. This review focuses on recent developments and Slipchip device challenges that need to be addressed for further advancements in microfluidics technology.

A Visualization Tool for Computational Analysis of DNA Methylation Level Using Bisulfite Sequencing Data

  • Tae, Hong-Seok
    • Genomics & Informatics
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    • v.9 no.3
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    • pp.136-137
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    • 2011
  • Methylation of cytosine is a post-synthesis modification that does not affect the primary DNA sequence but greatly influences gene expression level and phenotypes of an organism. As high-throughput sequencing of bisulfite-treated DNA is the most efficient method to identify methylated sites, several tools to map sequencing reads on a reference are available. But tools to visualize and to interpret the methylation level of methylation sites are currently insufficient. Herein, we present a novel tool to visualize the methylation level of CpG sites.

A VLSI Design of IDEA Cipher Algorithm Based On a Single Iterative Round Method (단일 라운드 프로세스 방식의 IDEA 암호 알고리즘의 하드웨어 설계)

  • 최영민;권용진
    • Proceedings of the IEEK Conference
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    • 2000.11b
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    • pp.144-147
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    • 2000
  • Data security is an important issue in today's computer networks. In order to construct a safe infra in the open communication network, a cryptography is necessarily applied to several communication application fields like a high-speed networking system supporting real-time operation. A cryptography which has already realized by a software is designed by using a hardware to improve a throughput. In this paper, we design hardware architecture of IDEA by using a single iterative round method to improve a encryption throughput. In addition, we intend to develop a hardware design methodology that a specific cryptography operate with high-speed. The hardware model is described in VHDL and synthesized by the Samsung KG 80 Library in the Synopsys development software tool. With a system clock frequency 20MHz, this hardware permits a data conversion rate of more than 116 Mbit/s.

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CaGe: A Web-Based Cancer Gene Annotation System for Cancer Genomics

  • Park, Young-Kyu;Kang, Tae-Wook;Baek, Su-Jin;Kim, Kwon-Il;Kim, Seon-Young;Lee, Do-Heon;Kim, Yong-Sung
    • Genomics & Informatics
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    • v.10 no.1
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    • pp.33-39
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    • 2012
  • High-throughput genomic technologies (HGTs), including next-generation DNA sequencing (NGS), microarray, and serial analysis of gene expression (SAGE), have become effective experimental tools for cancer genomics to identify cancer-associated somatic genomic alterations and genes. The main hurdle in cancer genomics is to identify the real causative mutations or genes out of many candidates from an HGT-based cancer genomic analysis. One useful approach is to refer to known cancer genes and associated information. The list of known cancer genes can be used to determine candidates of cancer driver mutations, while cancer gene-related information, including gene expression, protein-protein interaction, and pathways, can be useful for scoring novel candidates. Some cancer gene or mutation databases exist for this purpose, but few specialized tools exist for an automated analysis of a long gene list from an HGT-based cancer genomic analysis. This report presents a new web-accessible bioinformatic tool, called CaGe, a cancer genome annotation system for the assessment of candidates of cancer genes from HGT-based cancer genomics. The tool provides users with information on cancer-related genes, mutations, pathways, and associated annotations through annotation and browsing functions. With this tool, researchers can classify their candidate genes from cancer genome studies into either previously reported or novel categories of cancer genes and gain insight into underlying carcinogenic mechanisms through a pathway analysis. We show the usefulness of CaGe by assessing its performance in annotating somatic mutations from a published small cell lung cancer study.

A Computer-aided Design Tool with Semiautomatic Image-Processing Features for Visualizing Biological Pathways

  • Ham, Sung-Il;Yang, San-Duk;Thong, Chin-Ting;Park, Hyun-Seok
    • Genomics & Informatics
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    • v.7 no.3
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    • pp.168-170
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    • 2009
  • The explosion in biological data resulting from high-throughput experiments requires new software tools to manipulate and display pathways in a way that can integrate disparate sources of information. A visual Java-based CAD tool for drawing and annotating biological pathways with semiautomatic image-processing features is described in this paper. The result of the image-editing process is an XML file for the appropriate links. This tool integrates the pathway images and XML file sources. The system has facilities for linking graphical objects to external databases and is capable of reproducing existing visual representations of pathway maps.

siMacro: A Fast and Easy Data Processing Tool for Cell-Based Genomewide siRNA Screens

  • Singh, Nitin Kumar;Seo, Bo Yeun;Vidyasagar, Mathukumalli;White, Michael A.;Kim, Hyun Seok
    • Genomics & Informatics
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    • v.11 no.1
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    • pp.55-57
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    • 2013
  • Growing numbers of studies employ cell line-based systematic short interfering RNA (siRNA) screens to study gene functions and to identify drug targets. As multiple sources of variations that are unique to siRNA screens exist, there is a growing demand for a computational tool that generates normalized values and standardized scores. However, only a few tools have been available so far with limited usability. Here, we present siMacro, a fast and easy-to-use Microsoft Office Excel-based tool with a graphic user interface, designed to process single-condition or two-condition synthetic screen datasets. siMacro normalizes position and batch effects, censors outlier samples, and calculates Z-scores and robust Z-scores, with a spreadsheet output of >120,000 samples in under 1 minute.