05 | Predicting disease predisposition patterns of the personal genome | Seminar | ||
23 | Disease-related mutations predicted to impact protein function | J.Club |
14 | Predicting disease predisposition patterns of the personal genome based on disease hierarchy | TopicSem |
17 | Predicting disease predisposition patterns from personal genome based on disease hierarchy | TopicSem | ||
27 | Linking disease associations with regulatory information in the human genome | J.Club |
10 | Predicting disease predisposition patterns from personal genome based on disease hierarchy | TopicSem |
16 | Predicting disease predisposition patterns of personal genome based on disease hierarchy | TopicSem |
18 | Predicting disease predisposition of personal genome based on disease hierarchy | TopicSem |
23 | Predicting disease predisposition of personal genome based on disease hierarchy | TopicSem | ||
25 | Predicting disease predisposition of personal genome based on disease hierarchy | Seminar |
05 | Predicting the disease potential of personal genome based on disease hierarchy | TopicSem |
07 | Deep resequencing of GWAS loci identifies independent rare variants associated with inflammatory bowel disease | J.Club |
20 | Disease scoring system based on sequencing data | MAInfo | ||
26 | Disease scoring system based on sequencing data | TopicSem |
13 | Set-wise analysis for genome sequence interpretation | Seminar | ||
17 | Knowledge-based synergistic variant detection from NGS data | TopicSem | ||
18 | Considering goal and method | MAInfo |
08 | Gene set enrichment based on combinatorial variants | TopicSem | ||
22 | Microarray Data Analysis | TopicSem | ||
23 | NGS Data Analysis | TopicSem | ||
26 | Epigenome DATABASE and Tools | TopicSem | ||
26 | R Introduction | TopicSem |
16 | AnsNGS Interpreting the Personal Human Genome Sequencing Data | TopicSem |
19 | Relationship between structure and function of miRNAs | TopicSem |
02 | Novel multi-nucleotide polymorphisms in the human genome characterized by whole genome and exome sequencing | MAInfo | ||
08 | Parallel High Speed Annotation for Next Generation Sequencing | Seminar |
04 | Exome sequencing identifies the cause of a mendelian disorder | J.Club | ||
07 | Targeted capture and massively parallel sequencing of 12 human exomes | MAInfo |
01 | LookSeq: A browser-based viewer for deep sequencing data | J.Club | ||
10 | AnsNGS: Annotation System of structural variation for Next Generation Sequencing data | Seminar | ||
25 | Plan for NGS team project | MAInfo |
18 | Strategy for NGS data analysis | Seminar | ||
25 | Replicating papers: Genome variation discovery with high-throughput sequencing data | Seminar |
14 | Destroying the degree of correlation between memberships in a pre-miR structure cluster | Seminar | ||
24 | Conserved Expression Patterns Predict microRNA Targets | J.Club |
11 | ISMBECCB2009 Conference report | J.Club | ||
16 | Identifying and characterizing microRNA modules that co-regulate targets using microRNA-mRNA coexpression | Seminar |
07 | Filtering of false positive microRNA candidates by a clustering-based approach | J.Club | ||
12 | Identifying condition-specific combinatorial miRNA regulation | Seminar |
09 | Condition-specific combinatorial miRNA interactions | Seminar | ||
23 | Identifying condition-specific combinatorial miRNA regulation | Seminar |
15 | Finding microRNA regulatory modules using miR-association map | Seminar | ||
31 | Finding microRNA regulatory modules in human genome using rule induction | J.Club |
16 | Identifying combinatorial regulation of microRNAs | Seminar | ||
18 | Removal of AU Bias from Microarray mRNA Expression Data Enhances Computational Identification of Active MicroRNAs | J.Club |
08 | Association rule mining for large scale miRNA-mRNA expression data analysis | Seminar | ||
29 | Identifying tissue-specific combinatorial targeting in microRNA repression of gene expression | Seminar |
10 | Inferring MicroRNA Activities by Combining Gene Expression with MicroRNA Target Prediction | J.Club | ||
23 | Combining Gene Expression with Binding Score | Seminar |
22 | Conserved sequences in microRNAs | Seminar |
05 | Replicate of Tomlins work | Seminar | ||
16 | microRNA regulation depends on regional effect | Seminar | ||
27 | MicroRNA regulation of human protein-protein interaction network | J.Club |
11 | Construction of miRNA-mRNA interaction network in circadian rhythm | Seminar | ||
15 | Detection of a MicroRNA Signal in an In Vivo Expression Set of mRNAs | J.Club |
10 | MicroRNA as a Potential Regulator of Circadian Rhythm | Seminar | ||
29 | Identification of miRNAs involved in the regulation of circadian rhythm | Seminar |
01 | MicroRNA as a Potential Regulator of Circadian Rhythm | Seminar | ||
22 | MicroRNA as a Potential Regulator of Circadian Rhythm | Seminar | ||
23 | microRNA Modulation of Circadian-Clock Period and Entrainment | J.Club |
11 | Circadian rhythm of mouse liver | Seminar | ||
12 | MicroRNA expression alterations are linked to tumorigenesis and non-neoplastic processes in pancreatic ductal adenocarcinoma | J.Club | ||
21 | MicroRNA as a Potential Regulator of Circadian Rhythm in Mouse Liver | Seminar |
25 | miRNAs and circadian rhythm | Seminar |
14 | Circadian cycling of the mouse liver by miRNA microarray | Seminar |
01 | Standardization of GEO as gene expression data | Seminar | ||
24 | Categorization of GEO data | Seminar |
11 | [KOSMI paper] Progress in comparison of GO term between doses in B10 data | Seminar |
23 | Creation and implications of a phenome-genome network | J.Club |
02 | Data Analysis of Methotrexate in Rheumatoid Arthritis | MAInfo | ||
07 | Meta-analytic approach of breast cancer | xMutant | ||
10 | The model organism as a system:integrating omics data sets | J.Club | ||
26 | Gene Expression in Differential Responses of Time and Dose to IR | Seminar |
10 | Breastome : Meta-analytic approach of breast cancer | xMutant | ||
13 | Oncogenic pathway signatures in human cancers as a guide to targeted therapies | J.Club | ||
29 | Lung Fibroblast Radiation data analysis | Seminar |
12 | Comparison of Meta Analysis Methods | xMutant | ||
24 | Strategy for Microarray Meta-analysis | Seminar |
17 | Meta Analysis of Microarray | MAInfo | ||
25 | Functional annotation and network reconstruction through cross-platform integration of microarray data | J.Club |
14 | From signatures to models | MAInfo | ||
26 | Research plan | Seminar | ||
27 | BMT data analysis results | xMutant |
01 | Study of coordinative gene expression at the biological process level | J.Club | ||
04 | Bone Marrow Transplantation Microarray Analysis | xMutant |
14 | Codelink chip microarray analysis | MAInfo | ||
26 | Radiation data analysis | Seminar |
02 | Affy chip Analysis in BioCANDi | xMutant | ||
10 | Radiation Data Analysis - Time dependent | MAInfo | ||
13 | Use of extreme patient samples for outcome prediction from gene expression data | J.Club |
05 | An error in using FDR | xMutant | ||
20 | Summary of Radiation Data Analysis | MAInfo |
12 | [Plan]Extension of Venn Diagram | xMutant | ||
13 | Comparison of Statistical Methods in Replicated Microarray Profiles | MAInfo | ||
25 | Related Study to Low Dose Ionizing Radiation Data [MAInfo] | Seminar |
11 | NA | xMutant | ||
14 | A statistical method for identifying differential gene–gene co-expression patterns | J.Club | ||
23 | Secondary Analysis of Radiation Data | MAInfo |
25 | Analysis of B10 by Radiation Exposure | MAInfo |