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2012-02:
13 ̼ Prepare co-expression data using GEOquery package in R   TopicSem
18 ̼ Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing     J.Club

2012-01:
03 ̼ Exome and transcriptome sequencing data analysis  MAInfo
04 ̼ miRNA-mRNA Pair-database : summarize by 4 categories  TopicSem
25 ̼ miRNA target prediction and functional annotation  Seminar

2011-12:
08 ̼ miRNA-mRNA pair database fill out statistics  TopicSem
31 ̼ SeqGene a comprehensive software solution for mining exome- and transcriptome- sequencing data     J.Club

2011-11:
22 ̼ Genomic similarity in population  MAInfo

2011-08:
23 ̼ RNA-seq Data Analysis     TopicSem

2011-07:
16 ̼ MU2A - reconciling the genome and transcriptome to determine the effects of base substitutions     J.Club

2011-06:
07 ̼ Sequence comparison in population  MAInfo
13 ̼ MicroRNA м miRNA-mRNA Ӽ ͺ̽ м   TopicSem
20 ̼ MicroRNA м microRNA-mRNA Ӽ ͺ̽ м   TopicSem

2011-05:
02 ̼ Construction of miRNA-mRNA pair database  TopicSem
21 ̼ miRGator v2.0 : an integrated system for functional investigation of microRNAs     J.Club
25 ̼ Construct miRNA-mRNA pair database - add co-expressed data set  TopicSem

2011-04:
06 ̼ miRNA-mRNA pair database design  TopicSem
09 ̼ Towards computational prediction of microRNA function and activity     J.Club

2011-03:
16 ̼ To analysis co-transcriptomics data using miRNA-mRNA pairing database  TopicSem
29 ̼ Differential expression analysis for sequence count data     MAInfo

2011-02:
15 ̼ Gene ontology analysis for RNA-seq accounting for selection bias     MAInfo
19 ̼ Using GOstats to test gene lists for GO term association     J.Club
21 ̼ Relationship btw co-transcriptomics data and target genes  TopicSem

2011-01:
05 ̼ Database of miRNA-mRNA pairs  TopicSem
26 ̼ miRNA-mRNA pairing relationship ? genomic locations and co-transcriptomics data set  TopicSem

2010-12:
06 ̼ Converting RNA-Seq data into tag count - read count normalization  Seminar
11 ̼ miRSel: Automated extraction of associations between microRNAs and genes from the biomedical literature     J.Club
15 ̼ Extract miRNA-mRNA pairs from gene2pubmed and compare with miRSel  TopicSem

2010-11:
16 ̼ Mapping and quantifying mammalian transcriptomes  MAInfo
30 ̼ Read Count Normalization  MAInfo

2010-10:
16 ̼ High-Throughput SuperSAGE for Digital Gene Expression Analysis of Multiple Samples Using Next Generation Sequencing     J.Club
19 ̼ converting NGS data into tag count  MAInfo
25 ̼ Converting NGS data into tag count - tag-to-gene identification  Seminar
27 ̼ Extract miRNA-mRNA target pairs from literatures and co-transcriptomics data  TopicSem

2010-09:
04 ̼ RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays     J.Club
08 ̼ Extract real miRNA targets from literatures  TopicSem
14 ̼ Tag from RefSeq  MAInfo
27 ̼ Translating RefSeq sequence and RNA-Seq reads into 17-mer tags  Seminar
28 ̼ 3 tag digital gene expression profiling of human brain and universal reference RNA using Illumina Genome Analyzer  MAInfo

2010-08:
09 ̼ Purpose of Convert NGS reads into tags  Seminar
31 ̼ converting RNA-seq into tagCount compare with traditional extracting expression profile  MAInfo

2010-07:
06 ̼ Convert NGS reads into tags to store, map and analysis &  MAInfo
08 ̼ miRNA_GO : add pval density plot, 127 combination method, validation plot  Seminar
10 ̼ DSAP : deep-sequencing small RNA analysis     J.Club
20 ̼ Convert NGS reads into tags to store, map and analysis - workflow  MAInfo

2010-06:
01 ̼ miRNA and mRNA expression profiling from Deep sequencing data  MAInfo
08 ̼ Progress align read seqs in GSE10782  MAInfo
17 ̼ miRNA2GO : GO Enrichment analysis of clustered miRNAs by using three hypergeometric distribution  Seminar
22 ̼ RNA-seq data convert into tag count  MAInfo
28 ̼ Convert NGS reads into tags to store, map and analysis  Seminar

2010-05:
04 ̼ NGS vs. microarray  MAInfo
12 ̼ To get mRNA and miRNA profiles from RNA-Seq data  MAInfo
17 ̼ To get mRNA and miRNA profiles from RNA-seq data  Seminar
19 ̼ Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing tech. for measuring differential microRNA expression     MAInfo
25 ̼ To get Co-transcriptomics data from NGS data, and then analysis  MAInfo
29 ̼ Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms     J.Club

2010-04:
06 ̼ Apollo: a sequence annotation editor     MAInfo
06 ̼ DDBJ Read Archive and DDBJ Read Annotation Pipeline : an archive database and an analytical tool for next-generation sequence data     MAInfo
12 ̼ MAQ   MAInfo
14 ̼ add personal data  MAInfo
16 ̼ maq result using human Refseq data download  MAInfo
20 ̼ NGS and co-transcriptomics  MAInfo
24 ̼ Cepred: Predicting the Co-Expression Patterns of the Human Intronic microRNAs with Their Host Genes     J.Club
27 ̼ A highly annotated whole-genome sequence of a Korean Indivisual     MAInfo

2010-03:
08 ̼ Progree in NGS data analysis - complete maq preprocessing  Seminar
13 ̼ MTar: a computational microRNA target prediction architecture for human transcriptome     J.Club
22 ̼ complete maq preprocessing & some errors using Arachne  Seminar
29 ̼ complete using MAQ and some errors using Arachne  Seminar

2010-02:
08 ̼ Plan for NGS Data replications  Seminar
22 ̼ Progress in NGS data analysis - complete preprocessing  Seminar

2010-01:
30 ̼ Targeted next-generation sequencing of a cancer transcriptome enhances detection of sequence variants and novel fusion transcripts     J.Club

2009-12:
26 ̼ Genome-Wide Transcriptional Profiling Reveals MicroRNA-Correlated Genes and Biological Processes in Human Lymphoblastoid Cell Lines     J.Club
30 ̼ GO Enrichment analysis of clustered miRNAs by using three hypergeometric distribution  Seminar

2009-11:
04 ̼ GO Enrichment analysis of clustered miRNAs by using three hypergeometric distribution - rank sum and add dataset  Seminar
25 ̼ Modify annotation of Affy_Human_Gene_1.0_ST_Array in xperanto  Seminar
28 ̼ Tissue and Process Specific microRNA-mRNA Co-Expression in Mammalian Development and Malignancy     J.Club

2009-10:
19 ̼ GO Enrichment analysis of clustered miRNAs by using three hypergeometric distribution ?rank sum  Seminar
31 ̼ Decoding global gene expression programs in liver cancer by noninvasive imaging     J.Club

2009-09:
12 ̼ TargetMiner: MicroRNA target prediction with systematic identification of tissue specific negative example     J.Club
14 ̼ GO Enrichment analysis of clustered miRNAs by using three hypergeometric distribution ?naive validation test  Seminar
28 ̼ GO Enrichment analysis of clustered miRNAs by using three hypergeometric distribution ?validation test  Seminar

2009-08:
06 ̼ GO Enrichment analysis of clustered miRNAs by using three hypergeometric distribution (2)  Seminar
24 ̼ GO Enrichment analysis of clustered miRNAs by using three hypergeometric distribution ?breast and colon cancer  Seminar
26 ̼ Web-Based Resources for Clinical Bioinformatics  BookReading

2009-07:
02 ̼ GO annotation of miRNAs by using hypergeometric distribution?developing methods  Seminar
20 ̼ GO Enrichment analysis of clustered miRNAs by using three hypergeometric distribution  Seminar
25 ̼ MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression     J.Club

2009-06:
15 ̼ GO annotation for clustered miRNAs  Seminar
17 ̼ Evaluating DNA Sequence Variants of Unknown Biological Significance  BookReading
20 ̼ GeneSet2miRNA: finding the signature of cooperative miRNA activities in the gene lists     J.Club

2009-05:
06 ̼ Microarrays - Planning Your Experiment  BookReading
09 ̼ Quality Assessment and Data Analysis for microRNA expression Arrays     J.Club
11 ̼ Stem cell microRNA microarray analysis - modify xperanto SOM cluster analysis module  Seminar
28 ̼ stem cell miRNA microarray analysis - GO annotation in xperanto  Seminar

2009-04:
06 ̼ Osteoporosis Data Analysis -   Seminar
23 ̼ Stem cell miRNA microarray analysis  Seminar

2009-03:
16 ̼ Predict miRNA expression profiles from mRNA expressions using machine learning - purpose of this study  Seminar
28 ̼ Comparison of normalization methods with microRNA microarray     J.Club

2009-02:
05 ̼ Predict microRNA expressions from mRNA expression profiles using NN - select best features  Seminar
26 ̼ Predict let-7 microRNA expressions from mRNA expression profiles using NN - select best features (2)  Seminar
28 ̼ MicroRNA target prediction by expression analysis of host genes     J.Club

2009-01:
02 ̼ Predict miRNA expression profiles from mRNA expressions using NN - determine the number of iteration  Seminar
15 ̼ Predict mRNA expression profile from miRNA expressions using ANN - GA feature selection  Seminar
17 ̼ Genomic Profiling of MicroRNA and Messenger RNA Reveals Deregulated MicroRNA Expression in Prostate Cancer     J.Club

2008-12:
11 ̼ Predict miRNA expression profiles from mRNA expression - various miRNA family set test  Seminar
13 ̼ Global correlation analysis for micro-RNA and mRNA expression profiles in human cell lines     J.Club

2008-11:
03 ̼ Predict microRNA expressions from mRNA expression profiles using NN  Seminar
15 ̼ An Integrative Analysis of microRNA and mRNA Expression - A Case Study     J.Club
24 ̼ Predict microRNA expression profiles from mRNA expression using Machine Learning  Seminar
27 ̼ Predict microRNA expressions from mRNA expression profiles Using Neural Network ?plan  Seminar

2008-10:
11 ̼ The roles of binding site arrangement and combinatorial targeting in microRNA repression of gene expression     J.Club
16 ̼ NN analysis using let-7 microRNAs and their target mRNAs their target mRNAs  Seminar

2008-09:
08 ̼ Compare the clustering performance using mRNA/miRNA expression profiles  Seminar
29 ̼ Predict microRNA expression profiles from mRNA expressions using NN  Seminar

2008-08:
07 ̼ Summary of co-transcriptomics datasets  Seminar
16 ̼ mRNA/microRNA gene expression profile in microsatellite unstable colorectal cancer     J.Club
25 ̼ First Plan using miRNA/mRNA expression profile datasets  Seminar

2008-07:
14 ̼ Co-transcriptomics : comprehensive analysis of microRNA and mRNA expression  Seminar
21 ̼ Differential responses to ionizing radiation in two lung cancer cell lines (2)  Seminar
26 ̼ Prediction of both conserved and nonconserved microRNA     J.Club

2008-06:
13 ̼ collect datasets for co-transcriptomics  Seminar
27 ̼ Differential responses to ionizing radiation in two lung cancer cell lines (time=0)  Seminar
28 ̼ Genomic and epigenetic alterations deregulate microRNA expression in human epithelial ovarian cancer     J.Club

2008-05:
02 ̼ CCD   Seminar
03 ̼ Computational analysis of biological functions and pathways     J.Club
23 ̼ co-regulation btw miRNA and mRNA  Seminar
31 ̼ The microRNA.org resource:targets and expression     J.Club

2008-04:
05 ̼ MicroRNA acuurately identify cancer tissue origin     J.Club
18 ̼ ڷ miRNA м   Seminar

2008-03:
14 ̼ Mining co-regulated gene profiles for the detection of functional associations in gene expression data  Seminar
31 ̼ N2a microRNA  Seminar

2008-02:
23 ̼ A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments     J.Club
26 ̼ Mining co-regulated genes  Seminar

2008-01:
11 ̼ advanced idea extracting gene expression pattern  Seminar
12 ̼ Mining co-regulated gene profiles for the detection of functional associations in gene expression data     J.Club
25 ̼ Progress in CCD data and mining co-regulated genes  Seminar

2007-12:
04 ̼ AB Human Genome Survey Microarray V2.0 annotation & Result of CCD analysis  Seminar
15 ̼ Cancer immunomics: Using autoantibody signatures in the early detection of prostate cancer     J.Club
18 ̼ AB annotation  Seminar
28 ̼ Feature selection and Rule extraction of time series  Seminar

2007-11:
13 ̼ Feature selection and classification of time series microarray using GP 2nd idea  Seminar

2007-10:
06 ̼ Feature Selection and Molecular Classification of Cancer Using Genetic Programming     J.Club
09 ̼ Feature selection of time series microarray using GP  Seminar
30 ̼ Advanced idea for feature selection of time series microarray Using GP  Seminar

2007-09:
01 ̼ GPDTI A Genetic Programming Decision Tree Induction method to find epistatic effects in common complex diseases     J.Club
18 ̼ Microarray Feature Selection using GP  Seminar

2007-08:
10 ̼ Data analysis ,CCD data  Seminar
31 ̼ ISMB2007 Review - microarray  Seminar

2007-07:
07 ̼ maSigPro: a Method to Identify Significantly Differential Expression Profiles in Time-Course Microarray Experiments     J.Club
11 ̼ CCD м Ȳ  Seminar
27 ̼   Seminar

2007-06:
01 ̼ CCD м ȹ  Seminar
16 ̼ Significance analysis of mcroarray transcript levels in time series experiments     J.Club
22 ̼ CCD м   Seminar

2007-04:
28 ̼ Modeling Nonlinearity in Dilution Design Microarray Data [microarraydilution]      J.Club

2007-03:
10 ̼ A Five-Gene Signature and Clinical Outcome in Non-Small-Cell Lung Cancer       J.Club

2005-06:
01 ̼ 縯 ۸ м  MAInfo
28 ̼ ۸ м ABI м  xMutant

2005-04:
12 ̼ ü м  xMutant
20 ̼ ENU м  MAInfo

2005-03:
02 ̼ AB microarray м(2)  MAInfo
04 ̼ NA  xMutant
23 ̼ ABI chip м Ȳ (2-way ANOVA ̿ Gene Filtering۾)  MAInfo

2005-02:
14 ̼ A comparison of normalization methods for high density oligonucleotide array data based on variance and bias       J.Club

2005-01:
05 ̼ Ontologizer Review  MAInfo
26 ̼ AB microarray м  MAInfo
29 ̼ AB microarray м [MAInfo] Seminar

2004-12:
15 ̼ Normalization microarray м  MAInfo

2004-11:
17 ̼ Research plan  MAInfo

2004-10:
13 ̼ A genetic Approach for Gene Selection on Microarray Expression data  MAInfo

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