Goal Date Members |
| 05 | 전예진 | eval |
| 03 | 전예진 | tableRAG |
| 06 | 강성훈 | OHDSI ETL |
| 29 | 전예진 | team meeting |
| 28 | 조민아 | Bipartite graph based on onset age and number of case group |
| 02 | 전예진 | parady | |
| 02 | 전예진 | parady2 | |
| 02 | 전예진 | 250623 | |
| 23 | 조민아 | Review:Computational Methods for Identifying Similar Diseases |
| 14 | 전예진 | PGx llm response generation | |
| 21 | 전예진 | team meeting |
| 17 | 임성수 | ASPIRE: Identifying Alternative Splicing Pairs to Enhance Drug Response Prediction |
| 06 | 임성수 | ASPIRE: Chemotherapy response prediction | |
| 20 | 조민아 | updated graph code using ggraph package |
| 02 | 임성수 | Resesarch overview | |
| 02 | 임성수 | Resesarch overview | |
| 02 | 임성수 | Resesarch overview | |
| 02 | 임성수 | Resesarch overview | |
| 02 | 임성수 | Resesarch overview | |
| 16 | 조민아 | PRS calculation workflow code |
| 22 | 전예진 | ARCHITECTURE OF RAG |
| 09 | 전예진 | MR |
| 05 | 임성수 | Predict anti-cancer drug response by using alternative splicing-based gene pairs |
| 08 | 임성수 | Identification of novel pairwise biomarkers to predict and treat cancer metastasis |
| 19 | 전예진 | the use of two sample methods for MR on single large datasets | |
| 26 | 임성수 | Identification SAM pairs from TCGA dataset |
| 15 | 이시은 | G-CDM : genomic information to current OMOP-CDM | |
| 22 | 조민아 | Comparison between matching and sex exact matching |
| 23 | 전예진 | DGIdb ; new Query Score and updated Interaction Score |
| 13 | 임성수 | Identifying synthetic anti-metastasis pairs from TCGA dataset - external validation | |
| 27 | 조민아 | Workflow of extracing eid considering self-report |
| 16 | 조민아 | AACR-KCA poster: Gene signatures for prediction of survival in bladder cancer patients treated with immune checkpoint inhibitor |
| 18 | 임성수 | Identifying SAM pairs from TCGA dataset |
| 07 | 임성수 | Identifying SAM pairs - calculate GVB by defining LOF mutations | |
| 21 | 조민아 | Code for network analysis of pair-wide gvb |
| 03 | 임성수 | Identifying SAM pair from TCGA-SKCM | |
| 10 | 조민아 | Code of trend of GVB in m-core analysis |
| 05 | 조민아 | igraph: r package for network graph (code) | |
| 05 | 조민아 | igraph: r package for network graph (code) | |
| 05 | 조민아 | igraph: r package for network graph (code) |
| 15 | 임성수 | (Replication) Identifying SAM pairs from TCGA-COAD patients |
| 02 | 임성수 | (Replication) Overall process of identifying SAM gene pairs from TCGA | |
| 17 | 조민아 | Downloading data using pyega3 |
| 27 | 전예진 | pgx-passport |
| 13 | 조민아 | RNA-seq deconvolution |
| 05 | 안세환 | test | |
| 26 | 전예진 | FoldX_variant stability and effect prediction |
| 21 | 조민아 | SCISSOR: tutorial |
| 03 | ... | õ | |
| 10 | ... | ü | |
| 17 | 조민아 | All variants of CEMIP2 genes in ulcerative colitis patients | |
| 24 | 부은경 | . |
| 26 | 전예진 | type of pharmacogenomic evidence and limitation |
| 01 | 조민아 | Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle |
| 18 | 안세환 | Adjusted Rand Index between haplogroups and populations |
| 20 | 안세환 | Evaluate the haplogrouping method by DNA evolution pairwise distances | |
| 27 | 조민아 | Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans) |
| 16 | 안세환 | Summary of variants in 25 pharmacogenes | |
| 23 | 조민아 | JASPAR database: an open-access database of curated, non-redundant transcription factor (TF) binding profiles |
| 05 | 부은경 | Exploration of genotype-phenotype interactions and prevalence of genetic variants | |
| 25 | 조민아 | The complete sequence of a human genome (github) |
| 29 | 조민아 | Comparing coverage of genotyping of previous study |
| 22 | 조민아 | Extracting disease age of onset in UKBB |
| 11 | 조민아 | Genozip: a universal extensible genomic data compressor | |
| 18 | 부은경 | Case study of thiopurine intolerance in IBD |
| 07 | 조민아 | The UKBB clinical data of results in UC patients group | |
| 14 | 부은경 | Study ideas for analyzing recurrent event data and correcting potential bias | |
| 28 | 안세환 | TPMT star-alleles in high-coverage T1GP |
| 02 | 부은경 | Analysis of rare and ultra-rare variants in gene based tests | |
| 23 | 안세환 | Comparison of phasing strategies for whole human genomes |
| 28 | 부은경 | Comparison of TIL incidence rate in combined IBD dataset |
| 06 | 안세환 | Querying against cell viability data(PRISM) in CMap LINCS website | |
| 20 | 윤미선 | Group-based pharmacogenetic prediction | |
| 27 | ֿ | Comparing distribution of variants in PD genes among 1KGP3 populations |
| 08 | 조민아 | Review: Transfer learning enables prediction of CYP2D6 haplotype function | |
| 13 | 부은경 | A systematic comparison of pharmacogene star allele calling bioinformatics algorithms: a focus on CYP2D6 genotyping | |
| 20 | 조원일 | Review: Pharmacogenimics_lancet | |
| 20 | 조원일 | Review: Pharmacogenimics_lancet | |
| 20 | 조원일 | Review: pharmacogenomics_lancet | |
| 27 | 안세환 | Calling star-alleles from NGS data |
| 18 | 홍진희 | ukbb genotype | |
| 18 | 홍진희 | ukbb genotype | |
| 18 | 홍진희 | ukbb genotype |
| 07 | 유경훈 | Global distribution of CYP2C19 risk phenotypes affecting safety and effectiveness of medications | |
| 14 | 홍진희 | manual of using GP dataset in ukbb |
| 03 | ֿ | Refining the clinical definition of clopidogrel adverse events | |
| 17 | 조민아 | PHASE: A program for reconstructing haplotypes from population data |
| 22 | ֿ | Primary care prescription drug use and related actionable drug-gene interactions in the Danish population |
| 31 | ֿ | Identifying populations likely to benefit from pharmacogenomic testing |
| 01 | 부은경 | Additional analysis to identify candidate variants associated with PD | |
| 08 | 안세환 | Mechanism of action lists in L1000 data | |
| 15 | 한봄 | Assessment of case-control studies |
| 24 | ȿ | [Review] Personalized Medicine and the Power of Electronic Health Records | |
| 24 | ȿ | [Review] Personalized Medicine and the Power of Electronic Health Records |
| 06 | 부은경 | Synergyfinder: Calculate and Visualize Synergy Scores for Drug Combinations | |
| 13 | 안세환 | Visualize interpretable pattern from LINCS-L1000 | |
| 20 | 한봄 | HLA*IMP |
| 14 | Distribution of in silico prediction scores for NUDT15 variants identified in gnomAD database | ||
| 21 | Analysis of OPLL | ||
| 28 | ֿ | Evaluation of candidate SAGs using tacrolimus sample WXS data |
| 03 | 안세환 | Errors in importing Leukemia Data | |
| 10 | 한봄 | Read quality check using CaReal | |
| 24 | ȿ | [Review] Standardizing terms for clinical pharmacogenetic test results: consensus terms from the CPIC |
| 13 | Evaluating potential drug targets through human loss-of- function genetic variation | ||
| 20 | Parallel processing in R | ||
| 27 | ֿ | Candidate SAG interpretation based on inter-ethnic variability |
| 07 | Consensus Path DB | ||
| 14 | ֿ | Evaluation of synthetic association detection using gene deleteriousness scores in hearing loss case | |
| 28 | 한봄 | Marker selection for genetic case-control association studies |
| 06 | Analysis of Early response in depression | ||
| 13 | ֿ | ITPA gene variants protecting against anemia as a case of synthetic association | |
| 20 | 안세환 | Protein domain layer in VVA Plot |
| 02 | Worldwide Distribution of Cytochrome P450 Alleles | ||
| 09 | ֿ | Using TCGA for validation of synthetic association | |
| 16 | Age of onset in MDD | ||
| 23 | 안세환 | Add knowledge bases to VVA plot |
| 07 | Current progress and future prospects in organoid research | ||
| 21 | ֿ | Signatures and examples of synthetic association | |
| 21 | ֿ | Signatures and examples of synthetic association | |
| 28 | 안세환 | Apply VVA to GDM |
| 07 | Non-linear model to predict cytotoxic drug response | ||
| 14 | ֿ | Gene set annotation for genes synthetically associated with PGx variants | |
| 28 | ȣ | 1265 Potential drug targets gene |
| 06 | ȫֿ | Transporter-madiated drug-drug interactions | |
| 23 | Effects of variants in transporter genes on drug efficacy and toxicity | ||
| 27 | ȣ | Detecting Antibiotic Resistance Genes |
| 01 | ֿ | Distribution of F10 mutations in the 1000 Genomes phase 3 population | |
| 08 | ȫֿ | Knowledge based Pharmsafe Database | |
| 15 | unknown | ||
| 15 | Exome Sequencing Project | ||
| 29 | ȣ | Cloud Platform - Pricing |
| 04 | MetaCyc database review | ||
| 11 | ȣ | TB database | |
| 18 | Pharmacoinformatics tools in Drug discovery and Development activities. | ||
| 25 | Microarray analysis (Illumina), research results |
| 02 | ̰ȭ | BRONJ gene centric analysis | |
| 09 | Integration of DrugBank and KEGG | ||
| 16 | ȣ | cmap data and perturbation sensitivity | |
| 23 | CYP450 and Personalized Medicine using 1000 genomes |
| 15 | ֿ | Review of clinical outcomes from pharmacogenotyping | |
| 22 | Fine-tuning plans | ||
| 29 | ֿ | Indications and pharmacologic action of frequently prescribed drugs in US and South Korea |
| 03 | ֿ | Review of pharmacoeconomic analysis methods | |
| 24 | ֿ | Application of breakeven analysis for preemptive genotyping |
| 13 | ֿ | Review of pharmacogene-related ADRs in Koreans |
| 01 | ֿ | Distribution of drug usage extent in HIRA 2011 patients | |
| 22 | ֿ | Overview of Korea Adverse Event Reporting System |
| 04 | Core functions of PharmPortal | ||
| 11 | ֿ | Trend in predicted number of people with serious AE over year 2011 | |
| 18 | Statistics of input drug-gene pair with Km and Kcat |
| 16 | ֿ | Additional results of preemptive genotyping calculation algorithm using 1KP ancestry | |
| 16 | ֿ | Additional results of preemptive genotyping calculation algorithm using 1KP ancestry |
| 06 | ֿ | Calculation workflow for showing need for preemptive genotyping | |
| 26 | ֿ | Calculation scheme for predicting number of people with adverse events using ancestry-weights |
| 17 | ֿ | Statistics of processed year 2011 HIRA data |
| 06 | ֿ | Comparison of statistics for inpatient and outpatient prescriptions of year 2011 | |
| 27 | ֿ | Overview of HIRA 2011 statistics |
| 16 | ֿ | Statistics of year 2011 HIRA data and PREDICT study data | |
| 16 | ֿ | Statistics of year 2011 HIRA data and PREDICT study data |
| 22 | ֿ | Statistics of year 2011 HIRA patient and drug data |
| 04 | Workflow of weighted drug score with kinetic parameter | ||
| 11 | Find module related to ADR class in 1000Genome individual | ||
| 18 | ֿ | Role and mechanisms of drug targets, enzymes, transporters, and carriers | |
| 18 | ֿ | Role and mechanisms of drug targets, enzymes, transporters, and carriers | |
| 25 | Review : HumanCyc database |
| 04 | Apply CCLE data to personal pharmacogenomics research | ||
| 11 | How SNP heterozygosity affects gene expressions | ||
| 18 | Research to find out ADR mechanism |
| 05 | The MedSeq Project : Integration of Whole Genome Sequencing into Clinical Medicine |
| 05 | κ | Genome sequencing for healthy individuals | |
| 15 | Finding the lost factors in exome sequencing data | ||
| 29 | Recent research trend of genetic variant scores |
| 03 | Review and statistics of PharmGKB | ||
| 10 | current statistics for transcriptome reference : ensembl | ||
| 23 | ̼S | current statistics for GWAS catalog | |
| 24 | ̼S | current statistics for GWAS catalog |
| 06 | Analysis of epigenetic modification by bisulfite conversion | ||
| 20 | Review of SIFT algorithm |
| 04 | Personal genome related DB review(4) - GWASdb | ||
| 15 | Personal genome related DB review(5) - Genevar | ||
| 25 | ̼S | DB review(7) - Interpretome |
| 11 | Personal genome related DB review(1) - SNPedia | ||
| 14 | ̼S | Phenopedia and Genopedia | |
| 21 | κ | Personal genome related DB review(3) - SNP Nexus | |
| 21 | κ | Personal genome related DB review(3) - SNP Nexus |
| 19 | ̼S | plan for team | |
| 26 | Discussion application SNAP score on genome interpretation |
| 12 | ̰ȭ | AML-paired exome seqeuncing data analysis | |
| 26 | Integration for Chip-Seq and RNA-seq data |
| 07 | Blood genotyping for pretransfusion testing | ||
| 14 | Aplication of pharmacogenomic knowledge to clinic | ||
| 21 | Cancer Genomeancer (review for ICGC data portal) |
| 26 | Middle of report Genomancer |
| 04 | Summary of pharmacogenomics | ||
| 18 | Genomancer draft design |
| 05 | 뷡 | Atul Paper Replication | |
| 05 | Factors extraction for etiome replications | ||
| 05 | SOAP2, SOAP | ||
| 17 | 뷡 | GDS, GPL Parsing |
| 25 | paper review about COSMIC, Oncomine |
| 29 | a |
| 03 | 뷡 | SVG in HTML5 | |
| 04 | Paper Review for SNP data analysis | ||
| 24 | Concept of AXP | ||
| 25 | 뷡 | SVG |
| 20 | ppt | ||
| 27 | GWAS | ||
| 31 | temp_seminar |
| 15 | Path Search | ||
| 26 | gene2mesh |
| 01 | summary | ||
| 02 | GSEA, GWAS | ||
| 08 | i-GWAS4GSEA | ||
| 22 | PANTHER version 6 |
| 07 | data entries | ||
| 27 | Syntactic Integration - PID | ||
| 27 | 뷡 | Extract Reactome Data |
| 06 | ArrayXPath: map on homologene | |
|
| 06 | α | Another ANOVA viwer in BioCANDI [biocandi] | |
| 13 | ¼ | Issues on PathTalk |
| 23 | PathMesh - Writing manuscript - | ||
| 23 | Total context view of clusters using FCA |