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[BBON] 생물정보학 뉴스레터 Vol 1/4, 2005
[BBON] 생물정보학 뉴스레터 Vol 1/4, 2005 저자
등록일 2009.03.06
조회6727  인쇄  주소복사  소셜네트워크로 공유하기
키워드: BBON, 생물정보학, Bioinformatics

Communication Recruit Resources Events Books and Reports Movement Gossip
[Communication]


1. Scientific Briefs

1) 논문 발표 실적 분석
2005년 5월 PubMed에 등록된 국내 생물정보학 관련 발표 논문 분석(발표 논문에 제1 저자가 한국에서 발표한 저널을 대상으로 12가지의 생물정보학 관련 keyword로 검색하여 정리한 결과임)

1) 발표 논문 전체: 23편

연구주체

대학

기업

국가기관

벤처

기타

발표논문 수

20

-

1

2

-



2) 대학별 발표논문 수(5편이상) - 5월에는 해당대학 없음

3) 지역별분포

지역구분

서울, 경기

대전

대구

부산

발표논문수

15

4

2

2



4) 주요 연구분야

분야

편수

분야

편수

Microarray

6

Data Visualization

2

Predictive Method

7

Structural Biology

1

Proteome analysis

3

Functional Genomics

2

DataMining

1

Phylogeny & Evolution

1



5) 생물정보학관련 주요 논문 전체보기

저널

PMID

연구주체

Bioinformatics. 2005 May 1;21(9):1927-34

15746288

카톨릭의대

Comput Methods Programs Biomed. 2005 May;78(2):157-64

15848270

서울대

Int J Cancer. 2005 Jul 10;115(5):807-13

15729698

경북대

Bioinformatics. 2005 May 1;21(9):1927-34

15647300

KAIST

Mech Ageing Dev. 2005 May 10

15893360

부산대

Neurobiol Aging. 2005 Jul;26(7):1083-91

15748788

디지털지노믹스

Plant Physiol. 2005 May;138(1):341-51. Epub 2005

15834008

명지대

Biochem Biophys Res Commun. 2005 May 27;331(1):78-85

15845361

서울대

Gynecol Oncol. 2005 May;97(2):337-41

15863127

인제대

Int J Cancer. 2005 May 4

15880358

울산대

Int J Cancer. 2005 May 4

15880373

고려대

Neurosurgery. 2005 May;56(5):1021-34; discussion 1021-34

15796900

연세대

Proteomics. 2005 May;5(7):1987-95

15832365

KRIBB

Gynecol Oncol. 2005 May 19

15907983

카톨릭의대

J Hum Genet. 2005 May 14

15895287

SNP Genetics

Biochem J. 2005 May 15;388(Pt 1):7-15

15737070

이화여대

Biosens Bioelectron. 2005 May 15;20(11):2300-5

15797329

서강대

J Ultrasound Med. 2005 May;24(5):643-9.

15840796

성균관대

Nat Biotechnol. 2005 May;23(5):591-599. Epub 2005

15867911

경북대, 웰진

IEEE Trans Vis Comput Graph. 2005 May-Jun;11(3):265-72

15868826

KAIST

Eur J Vasc Endovasc Surg. 2005 May 9

15890541

성균관대

Bioinformatics. 2005 May 15;21(10):2541-3.

15749693

KAIST



2. 주요저널 발표논문

2005년 5월 Bioinformatics 저널에 발표된 국내 연구자 논문

5월 Bioinformatics 저널에 발표된 국내 연구자 논문

1. 서울대 장병탁 박사(Bioinformatics 2005 21(9):2116-2117)
CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays
Sek Won Kong 1,2,*, , Kyu-Baek Hwang 3, , Richard D. Kim 4, Byoung-Tak Zhang 3, Steven A. Greenberg 5,6, Isaac S. Kohane 4,6 and Peter J. Park 4,6
1Bauer Center for Genomics Research, Harvard University Cambridge, MA, USA
2Molecular Medicine, Beth Israel Deaconess Medical Center Boston, MA, USA
3School of Computer Science and Engineering, Seoul National University Korea
4Harvard-Partners Center for Genetics and Genomics Boston, MA, USA
5Department of Neurology, Brigham and Women's Hospital Boston, MA, USA
6Children's Hospital Informatics Program Boston, MA, USA
Summary: To increase compatibility between different generations of Affymetrix GeneChip arrays, we propose a method of filtering probes based on their sequences. Our method is implemented as a web-based service for downloading necessary materials for converting the raw data files (*.CEL) for comparative analysis. The user can specify the appropriate level of filtering by setting the criteria for the minimum overlap length between probe sequences and the minimum number of usable probe pairs per probe set. Our website supports a within-species comparison for human and mouse GeneChip arrays.
Availability: http://www.crosschip.org
Contact: skong@cgr.harvard.edu

2. KAIST 이도헌 박사(Bioinformatics 2005 21(9):1927-1934)
Detecting clusters of different geometrical shapes in microarray gene expression data
Dae-Won Kim 1, Kwang H. Lee 1,2 and Doheon Lee 1,*
1Department of BioSystems and Advanced Information Technology Research Center, Korea Advanced Institute of Science and Technology 373?1 Guseong-dong, Yuseong-gu, Daejeon, 305?701, Korea
2Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology 373?1 Guseong-dong, Yuseong-gu, Daejeon, 305?701, Korea
Motivation: Clustering has been used as a popular technique for finding groups of genes that show similar expression patterns under multiple experimental conditions. Many clustering methods have been proposed for clustering gene-expression data, including the hierarchical clustering, k-means clustering and self-organizing map (SOM). However, the conventional methods are limited to identify different shapes of clusters because they use a fixed distance norm when calculating the distance between genes. The fixed distance norm imposes a fixed geometrical shape on the clusters regardless of the actual data distribution. Thus, different distance norms are required for handling the different shapes of clusters.
Results: We present the Gustafson?Kessel (GK) clustering method for microarray gene-expression data. To detect clusters of different shapes in a dataset, we use an adaptive distance norm that is calculated by a fuzzy covariance matrix (F) of each cluster in which the eigenstructure of F is used as an indicator of the shape of the cluster. Moreover, the GK method is less prone to falling into local minima than the k-means and SOM because it makes decisions through the use of membership degrees of a gene to clusters. The algorithmic procedure is accomplished by the alternating optimization technique, which iteratively improves a sequence of sets of clusters until no further improvement is possible. To test the performance of the GK method, we applied the GK method and well-known conventional methods to three recently published yeast datasets, and compared the performance of each method using the Saccharomyces Genome Database annotations. The clustering results of the GK method are more significantly relevant to the biological annotations than those of the other methods, demonstrating its effectiveness and potential for clustering gene-expression data.
Availability: The software was developed using Java language, and can be executed on the platforms that JVM (Java Virtual Machine) is running. It is available from the authors upon request.
Contact: dhlee@bisl.kaist.ac.kr
Supplementary information: Supplementary data are available at http://dragon.kaist.ac.kr/gk

3. 국가유전체정보센터 박종화 박사(Bioinformatics 2005 21(10):2541-2543)
PSIbase: a database of Protein Structural Interactome map (PSIMAP)
Sungsam Gong 1, Giseok Yoon 2, Insoo Jang 3, Dan Bolser 4, Panos Dafas 5, Michael Schroeder 6, Hansol Choi 1, Yoobok Cho 2, Kyungsook Han 7, Sunghoon Lee 3, Hwanho Choi 1, Michael Lappe 8, Liisa Holm 9, Sangsoo Kim 3, Donghoon Oh 2 and Jonghwa Bhak 1,2,3,10,*
1Biomatics Lab, Department of BioSystems, KAIST Daejeon, Korea
2OITEK Daejeon, Korea
3NGIC, KRIBB Daejeon, Korea
4MRC-DUNN Cambridge, UK
5City University London, UK
6Biotechnologisches Zentrum TU Dresden, Germany
7Inha University Incheon, Korea
8Max Planck Institute for Molecular Genetics Berlin, Germany
9Helsinki University Finland
10BiO Centre, KAIST Daejeon, Korea
Summary: Protein Structural Interactome map (PSIMAP) is a global interaction map that describes domain?domain and protein?protein interaction information for known Protein Data Bank structures. It calculates the Euclidean distance to determine interactions between possible pairs of structural domains in proteins. PSIbase is a database and file server for protein structural interaction information calculated by the PSIMAP algorithm. PSIbase also provides an easy-to-use protein domain assignment module, interaction navigation and visual tools. Users can retrieve possible interaction partners of their proteins of interests if a significant homology assignment is made with their query sequences.
Availability: http://psimap.org and http://psibase.kaist.ac.kr/
Contact: biopark@kaist.ac.kr
Supplementary information: Supplementary material is available at http://psibase.kaist.ac.kr/Doc/supplementary_material.htm

4. 국외 : Bioinformatics 2005 21(10):2514-2516
PLATCOM: a Platform for Computational Comparative Genomics
Kwangmin Choi 1, Yu Ma 2, Jeong-Heyon Choi 1 and Sun Kim 1,3,*
1School of Informatics, Indiana University Bloomington, IN 47404, USA
2Department of Computer Science, Indiana University Bloomington, IN 47404, USA
3Center for Genomics and Bioinformatics, Indiana University Bloomington, IN 47404, USA
Motivation: As more whole genome sequences become available, comparing multiple genomes at the sequence level can provide insight into new biological discovery. However, there are significant challenges for genome comparison. The challenge includes requirement for computational resources owing to the large volume of genome data. More importantly, since the choice of genomes to be compared is entirely subjective, there are too many choices for genome comparison. For these reasons, there is pressing need for bioinformatics systems for comparing multiple genomes where users can choose genomes to be compared freely.
Results: PLATCOM (Platform for Computational Comparative Genomics) is an integrated system for the comparative analysis of multiple genomes. The system is built on several public databases and a suite of genome analysis applications are provided as exemplary genome data mining tools over these internal databases. Researchers are able to visually investigate genomic sequence similarities, conserved gene neighborhoods, conserved metabolic pathways and putative gene fusion events among a set of selected multiple genomes.
Availability: http://platcom.informatics.indiana.edu/platcom
Contact: sunkim2@indiana.edu; kwchoi@indiana.edu

5. 국외: Bioinformatics 2005 21(10):2264-2270
Prediction of protein interdomain linker regions by a hidden Markov model
Kyounghwa Bae 1, Bani K. Mallick 1 and Christine G. Elsik 2,*
1Department of Statistics, Texas A&M University College Station, TX 77843-3143, USA
2Department of Animal Science and Intercollegiate Faculty of Genetics, Texas A&M University College Station, TX 77843-2471, USA
Motivation: Our aim was to predict protein interdomain linker regions using sequence alone, without requiring known homology. Identifying linker regions will delineate domain boundaries, and can be used to computationally dissect proteins into domains prior to clustering them into families. We developed a hidden Markov model of linker/non-linker sequence regions using a linker index derived from amino acid propensity. We employed an efficient Bayesian estimation of the model using Markov Chain Monte Carlo, Gibbs sampling in particular, to simulate parameters from the posteriors. Our model recognizes sequence data to be continuous rather than categorical, and generates a probabilistic output.
Results: We applied our method to a dataset of protein sequences in which domains and interdomain linkers had been delineated using the Pfam-A database. The prediction results are superior to a simpler method that also uses linker index.
Contact: c-elsik@tamu.edu
Supplementary information: http://racerx00.tamu.edu/kbae

6. 카톨릭의대 정현준 박사(Bioinformatics 2005 21(10):2554-2555)
ArrayCyGHt: a web application for analysis and visualization of array-CGH data
Su Young Kim 1,2, Suk Woo Nam 1,2, Sug Hyung Lee 1,2, Won Sang Park 1,2, Nam Jin Yoo 1,2, Jung Young Lee 1,2 and Yeun-Jun Chung 3,*
1Microdissection Genomics Research Center, The Catholic University of Korea Seoul, 137-701, Republic of Korea
2Department of Pathology, The Catholic University of Korea Seoul, 137-701, Republic of Korea
3Department of Microbiology, College of Medicine, The Catholic University of Korea Seoul, 137-701, Republic of Korea
Summary: ArrayCyGHt is a web-based application tool for analysis and visualization of microarray-comparative genomic hybridization (array-CGH) data. Full process of array-CGH data analysis, from normalization of raw data to the final visualization of copy number gain or loss, can be straightforwardly achieved on this arrayCyGHt system without the use of any further software. ArrayCyGHt, therefore, provides an easy and fast tool for the analysis of copy number aberrations in any kinds of data format.
Availability: ArrayCyGHt can be accessed at http://genomics.catholic.ac.kr/arrayCGH/
Contact: yejun@catholic.ac.kr
Supplementary information: Technical documentation is available. See http://genomics.catholic.ac.kr/arrayCGH/


3. 국외 뉴스

5월 주요 국외 뉴스 클리핑 (자료출처: http://science.bio.org, 주요 저널에 발표된 성과 중심)

날짜

내용

5월 25일

A Genetic Chip Shot (AgWeb.com)

5월 22일

DNA test tackles deadly cereal disease (Foodqualitynews.com)

5월 20일

Functional Genomic Analysis of RNA Interference in C. elegans (Science)

5월 20일

From attograms to Daltons: Cornell NEMS device detects the mass of a single DNA molecule (Cornell University)

5월 20일

Blazing a Trail: A Public Health Research Agenda in Genomics and Chronic Disease (CDC)

5월 19일

International team begins to map sheep genome (CORDIS)

5월 13일

Function of cancer genes discovered (Netherlands Organization for Scientific Research)

5월 13일

International team determines geographic origin of leprosy (NIH/National Institute of Allergy and Infectious Diseases)

5월 12일

Bioinformatics in Computer-Aided Drug Design (B-EYE-Network)

5월 12일

A Scan for Positively Selected Genes in the Genomes of Humans and Chimpanzees (PLoS Biology)

5월 11일

FDA Approves First DNA-based Test to Detect Cystic Fibrosis (FDA)

5월 11일

Program finds lost genes in nematode genome (Washington University in St. Louis)

5월 10일

New genome project, new controversy (The Scientist)

5월 09일

Researchers Develop Promising New Gene Network Analysis Method (Brown University)

5월 06일

Celera to End Subscriptions and Give Data to Public GenBank (Science)

5월 06일

Functional Genomic Analysis of the Wnt-Wingless Signaling Pathway (Science)

5월 05일

A genome-wide scalable SNP genotyping assay using microarray technology (Nature Genetics)

5월 05일

Mutation accumulation of the transcriptome (Nature Genetics)

5월 04일

Biologists Determine Genetic Blueprint Of Social Amoeba (University of California - San Diego)

5월 02일

Planarians enter the genomic era (The Scientist)


참고: 주요 유전자은행 소식

구분

URL

EBI News http://www.ebi.ac.uk
Gene Banks News http://www.ncbi.nlm.nih.gov
DDBJ News http://www.ddbj.nig.ac.jp


4. 국내 뉴스

날짜

내용

5월 11일

NIHRoadmap_Bioinformatics and Computational Biology

5월 02일

Genomics 시장동향


5. PubMed에 등록된 5월 주요 리뷰

저널

제목

Immunology. 2005 May;115(1):21-33 Immunology and mathematics: crossing the divide
J Microbiol Methods. 2005 May;61(2):145-60. In vitro cell culture methods for investigating Campylobacter invasion mechanisms.
Mass Spectrom Rev. 2005 May-Jun;24(3):413-26 Intact-protein based sample preparation strategies for proteome analysis in combination with mass spectrometry.
Mass Spectrom Rev. 2005 May-Jun;24(3):367-412 Shotgun lipidomics
Neurol Clin. 2005 May;23(2):307-20. Overview of molecular, cellular, and genetic neurotoxicology


6. BMC Bioinformatics (Research highlights)

제목

서지정보

요약

Robust detection of periodic time series measured from biological systems BMC Bioinformatics 2005, 6:117 A general and robust testing procedure for finding periodic sequences in time series data is insensitive to outliers, missing-values, short time series and nonlinear distortions, all of which are common in biological systems
Detailed protein sequence alignment based on Spectral Similarity Score (SSS) BMC Bioinformatics 2005, 6:105 Inspired by music database retrieval systems, this algorithm establishes spectral similarity between two amino acid sequences based on 256 attributes, detecting local variations and sub-sequence similarities that character-based algorithms miss.
MARS: Microarray analysis, retrieval, and storage system BMC Bioinformatics 2005, 6:101 The MARS suite for microarray data is fully MIAME compliant, and provides a lab notebook and laboratory information management system, integrated with a pipeline of image analysis, normalization, gene expression clustering and pathway mapping.


7. 5월 주요저널 ; Science, Cell, Nature

저널

제목

Science, Vol 308, Issue 5726, 1310-1314 The Effects of Artificial Selection on the Maize Genome
Science, Vol 308, Issue 5726, 1318-1321 Structural Bioinformatics-Based Design of Selective, Irreversible Kinase Inhibitors
Science, Vol 308, Issue 5726, 1321-1323 Global Topology Analysis of the Escherichia coli Inner Membrane Proteome
Science, Vol 308, 20 May 2005 1149-1154. Transcriptional Maps of 10 Human Chromosomes at 5-Nucleotide Resolution
Science, Vol 308, Vol 308, Issue 5725, 1164-1167 Functional Genomic Analysis of RNA Interference in C. elegans
Science, Vol 308, May 2005 826-833 Functional Genomic Analysis of the Wnt-Wingless Signaling Pathway
Cell, Vol 121, Issue 4 , Pages 511-513 Systems Biology: Its Practice and Challenges
Cell, Vol 121, Issue 4 , Pages 507-509 Towards Cellular Systems in 4D
Cell, Vol 121, Issue 4 , Pages 505-506 Systems Biology, Integrative Biology, Predictive Biology
Cell, Vol 121, Issue 4 , Pages 503-504 The Meaning of Systems Biology
Cell, Vol 121, Issue 3 , Pages 325-333 Mitotic-Exit Control as an Evolved Complex System
Nature 433, 633-638 (2005) Corrigendum: A universal trend of amino acid gain and loss in protein evolution


8. Nature 저널이 선정한 웹 포커스 (주: Free Access)
http://www.nature.com/nature/focus/index_biologicalsciences.html

Dictyostelium discoideum genome Nature 435, 43-57 (4 May 2005)
The chicken genome Nature 432, 761-764 (9 Dec 2004)


9. The Plant Cell 저널의 Functional Genomics Collection GENE IDENTIFICATION
(September 1999 ~ anuary 2001)
http://www.plantcell.org/misc/papers1.shtml



[Recruit]

1. 구인정보: 생물학연구정보센터 BioJob 자료제공

방식

형태

채용기관

학위

분야

마감일

계약직

PostDoc

경희대학교(서울 캠퍼스)

Ph.D..

Bioinformatics
Molecular_Biology
생물학관련..

06/15

대학원생

연구원

가톨릭의과대학 의과학연구소

Bs

Genomics
Molecular_Bi...
생물학관련..

06/15

정규직

경력사원

(주)비츠코리아 인포메틱스

MS

Bioinformatics
Molecular_Biology
Cell_Bi..

06/26

계약직

연구원

국립암센터

Bs

Cancer_Biology
Genetics
Genomics

06/29

계약직

연구원

국립암센터

MS

Cancer_Biology
Genetics
Genomics

06/29

정규직

PostDoc

State University of New York at Buffalo

Ph.D.

Biophysics
Bioinformatics
Neuroscience

06/31

계약직

연구원

국립한경대학교 생물정보통신대학교

Bs

Bioinformatics
Genomics
Genetics

06/31



[Resources]

1. Organelle Databases

Database

Full name and/or description

URL

GOBASE Organelle genome database http://megasun.bch.umontreal.ca/gobase/
OGRe Organelle genome retrieval system http://ogre.mcmaster.ca/
Organelle genomes NCBI's organelle genome resources http://www.ncbi.nlm.nih.gov/genomes/ORGANELLES/
organelles.html
PLprot Arabidopsis thaliana chloroplast protein database http://www.pb.ipw.biol.ethz.ch/proteomics
Organelle DB Organelle proteins and subcellular structures/ complexes http://organelledb.lsi.umich.edu/


2. Bioinformatics 2005 21(11):2791-2793 VariScan: Analysis of evolutionary patterns from large-scale DNA sequence polymorphism data The software: (1) can conduct many population genetic analyses; (2) incorporates a multiresolution wavelet transform-based method that allows capturing relevant information from DNA polymorphism data; and (3) it facilitates the visualization of the results in the most commonly used genome browsers.
자료: http://www.ub.es/softevol/variscan


3. BMC Genomics 2005, 6:73 SPR Opt (Software) for optimization of SNP and PCR-RFLP genotyping to discriminate many genomes with the fewest assays: SPR Opt (SNP and PCR-RFLP Optimization) software optimizes the selection of forensic markers to maximize information to discriminate sequences from the fewest assays, accepting whole or partial genome sequence data as input.
자료: http://www.llnl.gov/IPandC/technology/software/softwaretitles/spropt.php



[Events]

1. 국내 행사

행사명

날짜

장소

2005년도 한국미생물생명공학회 국제심포지엄 및 정기학술대회 06.30-07.01 고려대학교 인촌기념관
Bio Business Korea 2005 "Korea-Germany Life Science Partnering Event" 06.27-30 서울 신라호텔
한국 뇌학회 2005 학술대회 06.24 가톨릭의과대학 의과학연구원
Microarray 실험과 분석의 이론과 실제(Practical Guide of Microarray Experiments and Bioinformatics in Biomedicine) 06.16-17 강연 :아산병원 대강당/
실습: 서울대 의대
SEVERANCE - JOHNS HOPKINS JOINT SYMPOSIUM 2005 06.11 신촌 새 세브란스병원 대강당

2. 국외행사

행사명

날짜

장소

Protein Transport Across Cell Membranes June 12-17 New London, New Hamshire, USA
Mechanisms Of Cell Signalling June 12-17 Hong Kong, China
CHI's Beyond Genome June 13 - 16 San Francisco, California, USA
2nd Annual Practical Experiences of High-Content Screening June 16 - 17 London, UK
Carbohydrates June 19-24 Tilton, New Hamshire, USA
Bio 2005: Annual Convention June 19 - 22 Philadelphia, Pennsylvania, USA
Proteins June 19-24 Plymouth, New Hamshire, USA
Gene Therapy June 23 - 24 London, England
Biomarkers Europe 2005 June 23 - 24 London, England
ISMB2005: Annual Meeting of the International Society for Computational Biology June 25 - 29 Detroit, Michigan, USA
Metabolic Diseases Drug Discovery and Development June 29 - 30 San Franciso, California, USA


[Books and Reports]

1. Books
1) 자료 출처: 아마존 - http://www.amazon.com

제목

저자

형태 / 출판일

Bioinformatics for Dummies Jean-Michel Claverie, et al Paperback/2004
An Introduction to Bioinformatics Algorithms (Computational Molecular Biology) Neil C. Jones, Pavel A. Pevzner Hardcover/2004
Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Third Edition Andreas D. Baxevanis, B. F. Francis Ouellette. Hardcover/2004
R for Bioinformatics Kim Seefeld, Ernst Linder Paperback/2005

2) 자료출처: Wiley - http://as.wiley.com/

제목

저자

형태 / 출판일

Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems Edward Keedwell, Ajit Narayanan Hardcover, June 2005
Handbook of Toxicogenomics: Strategies and Applications Jurgen Borlak Hardcover, March 2005
Functional Metabolism: Regulation and Adaptation Kenneth B. Storey E-Book, February 2005
Analyzing Microarray Gene Expression Data Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise E-Book, February 2005
Bioinformatics and Functional Genomics Jonathan Pevsner E-Book, February 2005
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra, Tinku Acharya E-Book, January 2005


[Movement]

1. 부산대 장익수 박사 5월 27일 프로테옴 워크샵 개최 (VOD 서비스 예정)

2. (사) 한국생물정보학회 허철구 박사(위원장) 천연물정보연구회 1차, 2차 워크샵 개최

3. KAIST 이도헌 박사 Bioinformatics 저널에 연속 2편 논문 발표

4. 2005년 6월 2일 포항공대 바이오시스템 다이나믹스 국가핵심연구센터(센터장, 남홍길 박사) 개소식



[Gossip]

1. The Nature top ten : 매달 Nature 웹사이트를 통해 PDF형태로 가장 많이 다운로드 된 논문 리스트
http://www.nature.com/nature/topten/index.html

2. IBM 신약개발을 위한 소프트웨어 아키텍쳐 개발 : Big Blue aims to modernise pharma production.
http://www.in-pharmatechnologist.com/news/news-ng.asp?n=60213-big-blue-aims

3. 인간의 다양성은 개인적인 유전적인 차이보다는 지놈의 구조적인 차이에 기인했을지도...
Nature 435, 252-253 (19 May 2005) | doi: 10.1038/435252b


4. 국가 핵심연구센터 (NCRC) 웹페이지

센터명

센터명(영문)

센터
대표


설치
기관


홈페이지

나노 응용시스템 국가핵심연구센터 NANO Systems Institute-National Core Research Center(NSI-NCRC) 박영준 서울대 http://nsi.snu.ac.kr
환경생명과학 연구센터 Environmental Biotechnology National Core Research Center 이상열 경상대 http://eb-ncrc.gsnu.ac.kr
나노메디컬 국가핵심연구센터 Yonsei NanoMedical National Core Research Center 유경화 연세대 http://nanomed.yonsei.ac.kr
시스템 바이오 다이나믹스 연구센터 Systems Bio-Dynamics National Core Research Center 남홍길 POSTECH http://sbd.postech.ac.kr


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Logos Biosystems,Inc. 스폰서배너광고 안내
 
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