Goal Date Members |
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 |