Systems Biology Team

Goal
  • Construction of the integrated database for human, mouse and rat genes that can be useful to genome annotation and to research the relation of gene and disease


  • Date
  • Weekly meeting : every Thursday 9:00 a.m
  • Members
  • Á¤ÈñÁØ, ±èÁöÈÆ(Áë), ±è¹Î±¸, Çѹ̷É, Á¤Å¼ö, Á¤¿ë, ¹ÚÂùÈñ (7¸í)


  • 2006. May(5)
    Date Name Title Material
    05.04 Á¤Å¼ö
    05.04 ±èÁöÈÆ Similarity measure between lattices : toxicant data
    05.11 ±è¹Î±¸ Correlation dependent on third gene expression level
    05.11 ÇÑ¹Ì·É cDNA microarray & Proteomics (2Â÷ ºÐ¼®)
    05.18 Á¤ÈñÁØ
    05.18 Á¤¿ë
    05.25 ¹ÚÂùÈñ
    05.25 Á¤ÈñÁØ
    2006. April(4)
    Date Name Title Material
    04.06 ¹ÚÂùÈñ GRIP Ư¡ Á¤¸® ¹× ÀÎÅÍÆäÀ̽º ¼öÁ¤ ÁøÇà»óȲ
    04.06 Á¤ÈñÁØ Pathway mapping
    04.13 ±èÁöÈÆ BioLattice as analysis viewer on BioCANDi
    04.13 ±è¹Î±¸ Temporal relation between GO
    04.20 ÇÑ¹Ì·É Multimarker predictive model using machine learning algorithm
    04.20 Á¤Å¼ö BioLattice: similarity of lattices
    04.27 Á¤¿ë Difficulty in importing GEO data into Xperanto
    04.27 ¹ÚÂùÈñ Depth-First Search ±â¹Ý Object Search & Drawing Object Network
    2006. March(3)
    Date Name Title Material
    03.03 Á¤Å¼ö PathTalk: Visualization and evaluation of structural relationship between gene clusters and biological pathways
    03.03 Á¤¿ë GEO, for better approach
    03.09 ¹ÚÂùÈñ DB Update ¹× Interface ÇöȲ
    03.09 Á¤ÈñÁØ PathMeSH + miRNA progress
    03.16 ±èÁöÈÆ BioLattice application II
    03.16 ±è¹Î±¸ Functional enrichment of sequential pattern with MIPS functional category
    03.23 ÇÑ¹Ì·É Integrating Classification and Association Rule Mining
    03.30 Á¤Å¼ö Geodesic distance in pathway graph
    03.30 Á¤¿ë Present state of GEO Localization
    2006. February(2)
    Date Name Title Material
    02.03 Á¤ÈñÁØ
    02.03 Á¤Å¼ö PathTalk: Visualization and evaluation of structural relationship between gene clusters and biological pathways
    02.10 ÇÑ¹Ì·É Applying rule mining and FCA to protein with profile & pattern
    02.10 ±èÁöÈÆ Rule mining from concept lattice
    02.24 ±è¹Î±¸
    02.24 ÇÑ¹Ì·É Association Mining and Formal Concept Analysis
    2006. January(1)
    Date Name Title Material
    01.06 ±è¹Î±¸ Application of Genetic Algorithm to sequential pattern mining on gene expression data
    01.06 ÇÑ¹Ì·É Comparative analysis of array CGH algorithms
    01.13 Á¤Å¼ö PathTalk: diameters of gene sets on topological structure of pathways
    01.13 Á¤ÈñÁØ ArrayXPathIII: Implementation of Mutual Information
    01.20 ±èÁöÈÆ Rule mining from Concept Lattice
    01.20 ±è¹Î±¸ Sequential pattern miningÀÇ ¸íÈ®ÇÑ ³í¸®Àü°³¸¦ À§ÇÑ flow chart
    2005. December(12)
    Date Name Title Material
    12.02 ±èÁöÈÆ Genome Annotation Report
    12.02 ÇÑ¹Ì·É À¯¹æ¾Ï AB chip ºÐ¼®°èȹ
    12.16 ±è¹ÌÇö Evaluation of matrix factorization methods for the analysis of DNA microarray gene expression data
    12.16 ±è¹Î±¸ Rationale for sequential pattern mining
    12.23 Á¤Å¼ö PathTalk: Visualization and evaluation of structural relationship between gene clusters and biological pathways
    12.23 Á¤ÈñÁØ ArrayXPathIII: localize KEGG pathways using KEGG API
    12.30 ±èÁöÈÆ Orientia genome annotation update
    2005. November(11)
    Date Name Title Material
    11.04 ¹ÚÂùÈñ
    11.04 ±è¹Î±¸ spmÀÇ ¼³µæ·ÂÀÖ´Â ³í¸®Àü°³
    11.11 ÇÑ¹Ì·É Plan for protein-ontology lattice
    11.18 ±è¹ÌÇö matrix factorization for clustering and pattern discovery Á¤¸®
    11.25 Á¤Å¼ö DispLay: different sequential patterned moduLes in array data
    11.25 Á¤ÈñÁØ Plan for ArrayXPath and add a function
    2005. October(10)
    Date Name Title Material
    10.07 ±èÁöÈÆ research plan
    10.07 ¹ÚÂùÈñ ¾à¹°À¯Àüü DB ¼öÁ¤ »çÇ×
    10.14 ±è¹Î±¸ Do you understand the rationale for SPM?
    10.14 ÇÑ¹Ì·É What is the next step?
    10.21 ±è¹ÌÇö (progress) Matrix factorization for clustering and molecular pattern discovery on Microarray
    10.21 Á¤Å¼ö Kullback-Leibler divergence to measure the biological relevance of given cluster
    10.28 Á¤ÈñÁØ Idea for ArrayXPath III
    10.28 ±èÁöÈÆ correlation of transcriptome and interactome
    2005. September(9)
    Date Name Title Material
    09.02 Çѹ̷É
    09.02 Á¤Å¼ö ¼¼Æ÷ÀÇ ¹Ì»ý¹° ¿À¿° ¾ÈÀü¼º Æò°¡
    09.09 Á¤ÈñÁØ Frame work of GRIP
    09.09 ±èÁöÈÆ Short BioLattice Manuscript
    09.16 ¹ÚÂùÈñ GRIP Pathway Mapping
    09.16 ±è¹Î±¸ Cluster viewer upgrade
    09.23 ±è¹ÌÇö Matrix factorization fo microarray data analysis
    09.23 ÇÑ¹Ì·É aCGH_GLAD
    09.30 Á¤Å¼ö
    09.30 Á¤ÈñÁØ Idea of pathway merge
    2005. August(8)
    Date Name Title Material
    08.05 ±è¹Î±¸ Get the facts about SGD GO-slim
    08.05 ÇÑ¹Ì·É Molecule Role Ontology
    08.12 Á¤Å¼ö Required analysis modules in Xperanto
    08.12 ±èÁöÈÆ BioLattice manuscript (artworks)
    08.19 Á¤ÈñÁØ newGRIP manuscript
    08.19 ±è¹Î±¸ The very first step in mouse lymphoma microarray analysis
    08.26 Á¤ÈñÁØ
    08.26 ±è¹ÌÇö Issues for application MF to microarray data analysis
    2005. July(7)
    Date Name Title Material
    07.01 ±è¹Î±¸ Temporal relation between GO terms
    07.08 ÇÑ¹Ì·É Further steps for protein classification
    07.08 Á¤Å¼ö Filters in Xperanto-BioCANDI
    07.15 ±è¹ÌÇö Review of Matrix factorization (ICA¿Í ºñ±³)
    07.15 À±Çý¼º Heterogeneous Ensemble
    07.22 Á¤ÈñÁØ Chip2Chip
    07.22 ±èÁöÈÆ BioLattice work summary
    07.29 Á¤ÈñÁØ Biological mode and knowledge based conversion for microarray
    07.29 ±è¿Á±¸ PhactaXÀÇ SOAP ±â¹Ý ÀÓ»ó½ÃÇè°ü·Ã Àڷᱳȯ
    2005. June(6)
    Date Name Title Material
    06.13
    Monthly
    ±èÁöÈÆ Biological interpretation of BioLattice results
    06.03 À±Çý¼º Cluster Ensemble and Its Applications in Gene Expression Analysis
    06.03 Á¤Å¼ö Learning Model for pathway extension
    06.10 Á¤ÈñÁØ Summary GRIP concept for manuscript
    06.10 ±èÁöÈÆ Biological interpretation of BioLattice results
    06.17 ¹ÚÂùÈñ attributes of New GRIP
    06.17 ±è¿Á±¸ Microarray Analysis Component °£ ÀÚ·áÇ¥Çö XML Schema °³¹ß
    2005. May(5)
    Date Name Title Material
    05.06 Á¤ÈñÁØ Item sets for newGRIP
    05.06 ±èÁöÈÆ Representation and visualization of cluster relationship
    05.13 ¹ÚÂùÈñ Gene ·¹º§ & Gene Family ·¹º§ ÁøÇà»óȲ
    05.13 ±è¿Á±¸ Microarray Analysis Component °£ ÀÚ·áÇ¥Çö ¹× ±³È¯¹æ¹ý
    05.20 ÇÑ¹Ì·É Protein classification from protein domain composition and GO using formal concept analysis
    05.27 ±è¹Î±¸ Re-design and Re-implementation of BioGPS
    05.27 ±è¹ÌÇö review of issues for ICA
    2005. April(4)
    Date Name Title Material
    04.01 Á¤Å¼ö RunDEDS
    04.01 Á¤ÈñÁØ PathCross: the first step
    04.08 ±èÁöÈÆ BioLattice analysis results
    04.08 ¹ÚÂùÈñ Current Localized Sequence object status
    04.15 ±è¿Á±¸ Development plan for the component-based Microarray analysis environment
    04.15 ±è¹Î±¸ Summary of sequential pattern mining
    04.22 ÇÑ¹Ì·É Analysis & interpretation of tripartite lattice
    04.22 ±è¹ÌÇö Web-DEDS º¸¿Ï
    04.29 À±Çý¼º Combining Multiple Clusterings
    04.29 Á¤Å¼ö Plan to complete PathPlus

    2005. March(3)
    Date Name Title Material
    03.03 Á¤ÈñÁØ Manuscript for AXP 2.0
    03.03 ±èÁöÈÆ BioLattice work report
    03.10 ¹ÚÂùÈñ GRIP Specs. (¹ÌÁ¤¸®..)
    03.10 ±è¿Á±¸ Microarray High-Level Data Analysis Modeling (Use Case Modeling)
    03.17 ±è¹Î±¸ FESD: a Functional Element SNPs Database in human
    03.17 ÇÑ¹Ì·É Database localization & How to make matrix?
    03.24 ±è¹ÌÇö Progress in DEDS
    03.24 À±Çý¼º Approaches to Discover Emerging Patterns in bio-data

    2005. February(2)
    Date Name Title Material
    02.03 ±èÁöÈÆ Supporting evidence to modular organization
    02.03 ±è¹Î±¸ Current agenda and Overlap matrix visualization
    02.17 ¹ÚÂùÈñ
    02.17 ÇÑ¹Ì·É Three-way interpenetration among protein domain, protein, and GO using FCA
    02.24 ±è¹ÌÇö Algorithm of ICA - FastICA
    02.24 À±Çý¼º Application of emerging patterns for multi-source data classification and analysis
    2005. January(1)
    Date Name Title Material
    01.06 ¹ÚÂùÈñ MDS errors...
    01.06 ±è¹Î±¸ Manuscripting "sequential patterning mining in gene expression data"
    01.13 Á¤ÈñÁØ The development present status of ArrayXPath 2.0
    01.13 ±è¹ÌÇö Algorithm of ICA
    01.20 ÇÑ¹Ì·É GOTree Machine (GOTM)
    01.20 ¹ÚÂùÈñ GRIP object
    01.27 ÇÑ¹Ì·É Review GO tool
    01.27 ±è¿Á±¸ MAGE-OM ³» Highlevel Data Analysis ÆÐÅ°Áö È®Àå
    01.27 Á¤ÈñÁØ Strategy for ArrayXPath

    December(12)
    Date Name Title Material
    12.02 Á¤ÈñÁØ ArrayXPath plan for NGIC project
    12.02 ±èÁöÈÆ(Áë) GO-FCA work progress
    12.09 ±è¿Á±¸ ÀÓ»ó½ÃÇèÀÚ·á°ü¸®½Ã½ºÅÛ ³» MGED ¸ðµ¨¸µ ÀÚ·á¼öÁý
    12.09 ÇÑ¹Ì·É VitaPad: Visualization Tools for the Analysis of Pathway Data
    12.16 ±è¹Î±¸ Sequential pattern mining¿¡ ´ëÇÑ ±âº»°³³ä°ú Å×Å©´Ðµé
    12.16 ¹ÚÂùÈñ GRIP Object ÀÇ property °áÁ¤
    12.23 ±è¹ÌÇö Estimating gene networks Using Bayesian network
    12.23 Á¤ÈñÁØ Items of ArrayXPath 2.0
    12.30 ±èÁöÈÆ Progress note for BioLattice
    12.30 ±è¿Á±¸ ÀÓ»ó½ÃÇèÀÚ·á°ü¸®½Ã½ºÅÛ ³» MGED ÀÚ·á ÀԷ¼³°è

    November(11)
    Date Name Title Material
    11.04 Á¤ÈñÁØ ArrayXPath: version 2.0
    11.04 ±èÁöÈÆ(Áë) GO-based cluster annotation using Formal Concept Analysis
    11.11 ±è¹Î±¸ Relevant work review of k-gOPSM
    11.11 ±è¿Á±¸ ÀÓ»ó½ÃÇèÀÚ·á¿Í »ý¹°½ÇÇèÀÚ·áÀÇ ¿¬°á¹æ¾È
    11.18 Á¤Å¼ö CGH-Explorer ¹× À¯»ç Åø ¸®ºä
    11.18 ¹ÚÂùÈñ GRIP Version 2 Intro
    ( GRIP Ver.2 ÀÇ modelling °ú open/closed integration issue µé¿¡ ´ëÇÑ ³íÀÇ )
    11.25 ÇÑ¹Ì·É Searching pathway databases
    11.25 ±è¹ÌÇö Using BN for estimating gene networks from microarrays and biological knowledge

    October(10)
    Date Name Title Material
    10.07 ±è¹Î±¸ Order-based subspace clustering
    10.07 ±è¿Á±¸ ÀÓ»ó½ÃÇèÀÚ·á¿Í ¹ÙÀÌ¿ÀÀÚ·áÀÇ ÅëÇÕÀ» À§ÇÑ µ¥ÀÌÅÍ ¸ðµ¨
    10.14 Á¤Å¼ö Determining differentially expressed genes in a microarray expression dataset
    10.14 ¹ÚÂùÈñ GEO¿¡¼­ Platform Description header ¿Í Sample Description headerÀÇ ºÐ¼®
    10.21 ÇÑ¹Ì·É Possibility of systematic Multiple-pathways
    10.21 ±è¹ÌÇö Bayesian Network & example of application

    September(9)
    Date Name Title Material
    09.23 Á¤ÈñÁØ PathMesh - Writing manuscript -
    09.23 ±èÁöÈÆ(Áë) Total context view of clusters using FCA


    Grip/PharmGKB Team Meeting

    Goal
    Construction of the integrated database for human, mouse and rat genes that can be useful to genome annotation and to research the relation of gene and disease
    Date
    Weekly meeting : every Thursday 10:00 A.M
    Monthly meeting: every firstTuesday 08:30 A.M.

    2004
     September
    9.07 ±èÁöÈÆ Monthly Meeting
    9.02 ±èÁöÈÆ Formal Concept Analysis & Application
    9.02 ÇÑ¹Ì·É PharmGKB parsing
    9.09 ¹ÚÂùÈñ KPRN data repository site
     
    &lng patterns for multi-source data classification and analysis

     August
    8.10 ÀÌÇý¿ø (Monthly Meeting)
    8.12 ¹ÚÂùÈñ GRIP Layer ( Object )
    8.19 ±è±â¿ø Church vs Snubi
    8.19 ±è¹Î±¸ Modeling for BioGPS;
    8.26 ÀÌÇý¿ø Tissue Microarray Data Modeling
    2005. January(1)
    Date Name Title Material
    01.06 ¹ÚÂùÈñ MDS errors... <
    6.29 Á¤ÈñÁØ (Monthly Meeting)
    7.01 ±èÁöÈÆ Current application in Literature Mining 1
    7.01 ¹ÚÂùÈñ Open/closed database integration approach
    7.08 ±è±â¿ø ToPNet
    7.08 ÀÌÇý¿ø Regulation at Chromatin level
    7.15 ±è¹Î±¸ Multiple mapping in BioGPS
    7.15 ÇÑ¹Ì·É HGNC parsing
    7.22 ±èÁöÈÆ C20050127_okgu.ppt">
    01.27 Á¤ÈñÁØ Strategy for ArrayXPath

    December(12)
    Date Name Title Material
    12.="3">
     June
    6.01 ÇÑ¹Ì·É Gene Family and Protein Family DataBases(Monthly meeting)
    6.03 ±èÁöÈÆ State of art in Literature Mining
    6.03 Á¤ÈñÁØ Link between pathway and disease
    6.10 ¹ÚÂùÈñ Entrez Gene À¸·Î ÀÎÇÑ Gene Layer Àç ¸ðµ¨¸µ
    6.10 ±è¹Î±¸ lt;/tr>
    6.17<7_hyewon.ppt"> Databases containing the elements of gene structure
     
    Database of Association between disease and pathway
    6.24 ±è±â¿ø Cytoband visualization
    6.24 ÇÑ¹Ì·É HGNC Gene Family parsing plan
     
     May
    5.04 ±è¹Î±¸ Koogle, the finale(Monthly meeting)
    5.06 ÀÌÇý¿ø Elements of Gene structure
    5.06 ÇÑ¹Ì·É Breast Cancer Risk Assessment Tool
    5.13 ±èÁöÈÆ Review - Text Mining in Biology
    5.13 Á¤ÈñÁØ Link between pathway and medical information
    5.20 ±è±â¿ø Data Structure based on biological concepts
    5.20 ±è¹Î±¸ BioGPS, writing manuscript
    5.27 ÀÌÇý¿ø First step with a few genes to Gene Modeling
    5.27 ÇÑ¹Ì·É Gene Family and Protein Family
     

     April

    4.01 ±èÁöÈÆ Frequency Finder
    4.06 ¹ÚÂùÈñ Data Integrating Issue (Monthly meeting)
    4.22 ¹ÚÂùÈñ GRIP full-text search
    4.28 ±è¹Î±¸ Network-based approach for identifier mapping
     

     March

    3.03 ¹ÚÂùÈñ PharmGKB ±¸Á¶¿Í ¹®Á¦Á¡ PharmGKB ±¸Á¶¿Í ¹®Á¦Á¡À» ºÐ¼®ÇÏ°í ¾à¹°À¯Àüü»ç¾÷´Ü data submission ¹æÇâÀ» »ý°¢ÇÑ´Ù.
    3.09 ÀÌÇý¿ø Constructing PharmGKB with GRIP Monthly Meeting
    3.11 ÌÇý¿?lt;/td> Ontology Development for a Pharmacogenetics Knowledge base Pharmacogenetics Ontology °³¹ß ¸ñÀû ¹× ¹æ¹ý·Ð
    3.18 ±è¹Î±¸ Koogle Development Graph algoritmÀ» ÀÌ¿ëÇؼ­ ¼­·Î ´Ù¸¥ id¸¦ resolveÇØ º¸°í °¢°¢ÀÇ algorithmÀ» Àû¿ëÇßÀ» ¶§ÀÇ Àǹ̿¡ ´ëÇØ »ý°¢ÇØ º»´Ù. web interface¸¦ °¡Áø prototypeÀ» ½ÃÇöÇÑ´Ù.
    3.25 ÇÑ¹Ì·É GRIP Contents ¼öÁ¤ ÇöÀç GRIP ¿¡¼­ Á¦°øÇÏ´Â ContentµéÀÇ ºÎÁ·ÇÑÁ¡µéÀ» º¸¿ÏÇÏ°í New interface ¸¦ »õ·Î ±¸»óÇÑ? ( ÀÌ ³»¿ëÀ» Åä´ë·Î ½ÇÁ¦ interface ¹Ù²Ü°ÍÀÓ )
     

     February

    2.04 ÇÑ¹Ì·É Guidance for Industry Pharmacogenomic Data Submissions FDA¿¡¼­ ³ª¿Â Draft Guidance Document ¸¦ Âü°íÇÏ¿© ÇöÀç PharmGKB data submission Á¤Ã¥ ¹× Æ®·»µå¸¦ ºÐ¼®ÇÑ´Ù.
    2.10 ±è¹Î±¸ From Gene to Pharmacogenetics Monthly Meeting
    2.11 ¹ÚÂùÈñ PharmGKB ¼³°è º¸°í ¹× À¥ ÀÎÅÍÆäÀ̽º °³¹ß °èȹ PharmGKB ¼³°è¿¡ ±Ù°ÅÇÏ¿© ¾à¹°À¯Àüü¿¬±¸´Ü data¸¦ ¾î¶»°Ô ÀúÀåÇÒ°ÍÀÎÁö , À¥ ÀÎÅÍÆäÀ̽º ±¸¼ºÀº ¾î¶»°Ô ÇÒ°ÍÀÎÁö¿¡ ´ëÇÑ ³íÀǸ¦ ÇÑ´Ù.
    2.18 Á¤ÈñÁØ BioSVG + GRIP ÃÖÁ¾Á¤¸® ±×µ¿¾È °°ÀÌ ¿¬±¸Çß´ø ºÎºÐµéÀ» Á¤¸®ÇÏ°í DB Management ºÎºÐ¿¡¼­ »ý±â´Â ¹®Á¦Á¡µé°ú ÇØ°áÃ¥À» ¸ð»öÇÑ´Ù.
    2.25 ±è¹Î±¸ Koogle: Id chaining, key resolving ´Ù¾çÇÑ id¸¦ resolveÇÏ´Â service¸¦ ¸¸µç´Ù.
     

     January 

    1.06 ¹ÚÂùÈñ GRIP Interface ±¸¼º°ú Ensembl localize  
    1.07 ¹ÚÂùÈñ Gene Symbol ÅëÇÕ °èȹ¾È Monthly Meeting
    1.14 Á¤ÈñÁØ GRIP weekly meeting  
    1.28 ÀÌÇý¿ø Ensembl Localize¿Í statistics ensembl id ·Î µé¾î¿À´Â input ¿¡ ´ëÇØ GRIP¿¡¼­ resolving ÀÌ °¡´ÉÇÏ°Ô ÇÑ´Ù.
    1.28 ±è¹Î±¸ LocusLink ¿Í UniGene ³»¿¡ ÀÖ´Â Gene Symbol ÅëÇÕ LocusLink ¿Í UniGene ¿¡ Á¸ÀçÇÏ´Â Symbol µéÀ» ÅëÇÕÇÔÀ¸·Î¼­ GRIP ³»¿¡¼­ Æ÷°ýÀûÀÎ Symbol search ¹× full text search °¡ °¡´ÉÇÏ°Ô ÇÑ´Ù.

     

    2003
    Date Presenter Title
    8.08 ¹ÚÂùÈñ GRIP °èȹ
    8.22 ¹ÚÂùÈñ Introduction MGD
    9.05 ÀÌÇý¿ø comparison of SOURCE and GRIP
    9.19 ±è¹Î±¸ SWISSPROT -> GRIP
    10.01 ±èÁöÈÆ dbSNP parsing strategy
    10.08 ÌÇý¿?lt;/td> interface ÁøÇà»óȲ
    10.21(monthly) ¹ÚÂùÈñ Swissprot/TrEMBL in GRIP
    10.22 ¹ÚÂùÈñ GRIPÀÇ bug º¸°í
    10.29 ¹ÚÂùÈñ GRIP interface ȸÀÇ
    11.05 Á¤ÈñÁØ BIOSVG -Method of Search and Match-Making
    11.12 ±èÁöÈÆ dbSNP parsing Àü·«
    11.18(monthly) ¹ÚÂùÈñ GRIP monthly report
    11.19 ±èÁöÈÆ dbSNP parsing result
    12.03 ±èÁöÈÆ dbSNP parsing
    12.10 ¹ÚÂùÈñ Gene Symbol in BioSVG
    12.17 ¹ÚÂùÈñ Genome Research Informatics Pipeline
    12.24 ÀÌÇý¿ø Ensembl localize