• Title/Summary/Keyword: KRISTAL

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Comparison of growth performance of Berkshire purebreds and crossbreds sired by Hereford and Tamworth breeds raised in alternative production system

  • Park, Hyeon-Suk;Spann, Kristal;Whitley, Niki;Oh, Sang-Hyon
    • Asian-Australasian Journal of Animal Sciences
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    • v.30 no.9
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    • pp.1358-1362
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    • 2017
  • Objective: The objective of the present study was to compare growth performance of Berkshire purebred pigs (BB), Hereford (HB) and/or Tamworth (TB) sired Berkshire crossbred pigs reared in a hoop structure in two experiments. Methods: In the first experiment, BB was compared to TB while HB and TB were compared in the second. Body weights (BW) were recorded at 3 days of age and every 28 days from birth until 140 days of age. There was no significant difference between the BW of BB and TB, but HB was heavier than TB by 84 days of age. Least square means of average daily gain (ADG) were evaluated using one-way analysis of variance. Results: The mean parity (${\pm}$standard deviation) of the sows was $3.42{\pm}2.14$ and a total of 45 farrowing occurred from year 2012 to 2014. The mean number of total born, number born alive, number of mummies, and number weaned were $9.23{\pm}2.52$, $7.87{\pm}2.53$, $0.04{\pm}0.21$, and $5.94{\pm}2.74$, respectively. Parity did not have a significant effect on the growth performance of the pigs. For BB and TB, there was only one time frame in which there was a significant difference in the ADG: between 28 and 56 days of age. For HB and TB, the overall ADG of HB was significantly greater than the total ADG of TB. Conclusion: The breed of the sire did not affect the growth performance of the progeny between Berkshire purebreds and Tamworth${\times}$Berkshire crossbreds. The breed of the sire did have an effect between Hereford and Tamworth sired Berkshire crossbreds (p<0.05). The Hereford sired pigs were found to have increased growth performance compared to Tamworth sired.

A Study on Update of Bioinformatics Contents (생명정보 콘텐트 업데이트에 관한 연구)

  • Ahn, Bu-Young;Han, Jeong-Min;Hong, Soon-Chan;Lee, Sang-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.11a
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    • pp.452-455
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    • 2007
  • 생명과학 기술의 급속한 발달로 인류 복지 증진에 많은 기여를 하였지만 아직도 각종 질병 등으로 많은 사람들이 고통 받고 있으며, 이를 극복하기 위한 연구 및 기술개발은 세계 각처에서 계속되고 있다. 이러한 연구 및 기술개발의 결과로 산출되는 생명정보 데이터의 양은 기하급수적으로 증가하고 있기에 이런 방대한 양의 생명정보 데이터를 분석하고 분석된 데이터에서 인류 복지에 유용한 정보를 얻기 위한 생명정보학(Bioinformatics)이 등장하게 되었다. 이에, 한국과학기술정보연구원(KISTI)은 IT 기반 생명정보 인프라 구축의 중심기관으로 CCBB(Center for Conputationa Biology & Bioinformatics) 웹사이트를 운영하고 있다. CCBB는 전산학적인 기술을 이용한 생명현상 연구를 지원하기 위하여 21종의 생명정보 콘텐트(DB 및 분석도구)를 수집 분석 구축 제공하고 있다. 이 중에서 GenBank, PDB, PIR, Swiss-prot 등의 데이터베이스는 KISTI에서 개발한 KRISTAL 검색엔진을 통하여 국내에서도 빠르고 쉽게 검색 가능하도록 자체 구축하고 있으며, 이와 더불어 BLAST, FASTA, ClustalW 등의 주요 분석 도구 또한 제공하고 있다. 본 논문에서는 CCBB에서 제공중인 21종의 콘텐트 중에서 GenBank, REBASE, GeneCards, InterProScan 등 4종의 대용량 고효율 생명정보 콘텐트의 소개 및 업데이트 방법에 관한 내용을 기술하고자 한다.

Development of the Management Tool for S&T information in distributed retrieval database (분산 저장된 과학기술정보 서비스를 위한 검색 데이터베이스 관리 도구의 설계 및 개발)

  • Lee, Seok-Hyoung;Yoon, Hee-Jun;Yeo, Il-Yeon;Choi, Sung-Pil;Yoon, Hwa-Mook
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.677-681
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    • 2006
  • In this paper, we suggest the GUI Management Tool, named K-Manager, for management and service of science and technology information that stored in distributed retrieval databases. Generally, it must be adapted retrieval database system for web based S&T contents service. But, It is inconvenient contents manager or the system administrator controls information easily, because it does not support the S&T information management process like TOAD, which can use for the relation database, in information retrieval database system. Using K-Manager, content manager can process the S&T content and system manager can manage the databases easily. The proposed tool active controls information effectively which is stored in the distributed retrieval database which guarantee the safety management of the contents stored in database and operate retrieval with efficient performances. Our tool consists of two sub systems, one is content manager, the other is database manager for YESKISTI based on KRISTAL-IRMS.

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