BIMAG’s automated biological information platform, designed to enhance the accuracy of personalized precision medicine, has been awarded the prestigious Innovation Award from MEDITEK.
This achievement is the result of extensive research led by Hyun Kim and colleagues, with their paper, titled ‘scLENS: Data-driven Signal Detection for Unbiased scRNA-seq Data Analysis,’ published in Nature Communications.
BIMAG의 개인 맞춤형 정밀 의학의 정확도를 높일 수 있는 생물학적 정보 자동화 플랫폼 기술이 MEDITEK의 권위 있는 혁신상을 수상했습니다.
이 기술은 김현 박사 외 연구진의 광범위한 연구의 결과로, 그들의 논문 scLENS: Data-driven Signal Detection for Unbiased scRNA-seq Data Analysis는 Nature Communications에 게재되었습니다.
On July 12, Dr. Hyun Kim gave a talk at the BRIC academic webinar. The title of the presentation was ‘scLENS: Data-Driven Signal Detection for Unbiased scRNA-seq data analysis.’ The talk was recorded and uploaded to the BRIC YouTube channel.
지난 7월 12일 김현 박사가 BRIC 학술 웨비나에서 강연을 진행했습니다. 강연의 제목은 “scLENS: 단일 세포 RNA 시퀀싱 데이터분석을 위한 데이터기반 차원축소방법”였습니다. 강연은 녹화되어 BRIC 유튜브 채널에 업로드되었습니다.
BIMAG members participated in the KSMB-SMB 2024 Seoul event held from June 30 to July 5.
BIMAG 멤버들이 지난 6월 30일부터 7월 5일까지 열린 KSMB-SMB 2024 Seoul 행사에 참여했습니다.
CI Professor Jae Kyoung Kim gave a plenary talk and two mini-symposium talks
CI 김재경 교수는 Plenary 강연과 두 개의 미니 심포지엄 강연을 발표했습니다.
Plenary: Inference of Dynamic Networks in Biological Systems MS 1: Mastering noise in rhythm generation: strategies for utilization and avoidance MS 2: Beyond the Michaelis- Menten: Accurate Prediction of Drug Interactions Through Cytochrome P450 3A4 Induction
Dr. Eui Min and Dr. Seok Joo, along with Ph.D. students Yun Min, DongJu, and Olive, also gave presentations at the mini-symposium.
의민, 석주 박사와 윤민, 동주, Olive 학생도 미니심포지움에서 발표를 진행했습니다.
Eui Min: Combined multiple transcriptional repression mechanisms generate ultrasensitivity and robust oscillations Seok Joo: Collective behavior of proteins filters spatiotemporal noise for robust circadian rhythms Yun Min: A real-time, personalized sleep intervention using mathematical modelling and wearable devices / Universally valid reduction of multiscale stochastic biochemical systems using simple non-elementary propensities / Noisy Delay Denoises Biochemical Oscillators Dongju: Accurate Prediction of Mood Episodes Using Sleep and Circadian Rhythm Features from Wearables Olive: Model-based detection of causal relationships
Dr. Gyuyoung and Dr. Kevin, along with students Juhyeon, Seolah, Hyunsuk, and Hyeongjun, gave presentations at the poster session.
규영, Kevin 박사 및 주현, 설아, 현석, 형준 학생은 포스터 세션에서 발표를 진행했습니다.
Gyuyoung: On the interactions of flocking particles with the Stokes flow in an infinite channel Kevin: Computational and mathematical approaches to understand glioma cells metabolism: characterization from transcriptomic data and focus on HIF pathways Juhyeon: The Algorithm for Initial Condition Decision in Circadian Pacemaker Model to Predict Accurate Circadian Rhythm Phase Seolah: Beyond Homogeneity: Assessing the Validity of the Michaelis-Menten Rate Law in Spatially Heterogeneous Environments Hyunsuk: Inferring the network structure of a plankton community using time series data Hyeong Jun: Accurate and precise parameter estimation and type identification in enzyme inhibition
We had the opportunity to interact and enjoy time with numerous outstanding mathematical biologists from around the world who attended the conference.
학회에 참석한 전세계의 수많은 훌륭한 수리생물학자들과 교류하고 함께 즐기는 시간을 가졌습니다.
On June 3rd, the research of Professor Won Chang, a visiting scholar at BIMAG, was featured in SIAM News. This study, which addressed the challenges of developing glacier models due to data scarcity through statistical methodologies, was covered in an article titled “Understanding Uncertainty in Glacier Models — Before the Ice Melts.”
지난 6월 3일, BIMAG Visiting Scholar 장원 교수의 연구가 SIAM News에 소개되었습니다. 데이터 부족 문제로 인한 빙하 모형 개발의 어려움을 통계적 방법론으로 해결한 이 연구는 ‘Understanding Uncertainty in Glacier Models — Before the Ice Melts’라는 제목의 기사에서 다루어졌습니다.
On May 21st, an interview with Dr. Kim Hyun regarding the recent publication in Nature Communications, titled ‘scLENS: data-driven signal detection for unbiased scRNA-seq data analysis,’ has been featured on the Hanbit Publishing website.
지난 5월 21일 최근 Nature Communications 에 출판된 논문, scLENS: data-driven signal detection for unbiased scRNA-seq data analysis에 대한 김현 박사의 인터뷰가 한빛사 홈페이지에 게재되었습니다.
On May 28th, an interview with CI Jae Kyoung kim was uploaded to the official KAIST YouTube channel under the title “Wait, Wasn’t This in My Dream?! Sleep, Science, Technology, and Sleep Diagnosis.” In the interview, CI Jae Kyoung kim introduced the ongoing research on sleep disorders being conducted at BIMAG.
지난 5월 28일 CI 김재경 교수의 인터뷰가 KAIST 공식 유튜브 채널에 “어라 분명 꿈에서?! 수면과 과학기술 그리고 숙면진단”이라는 제목으로 업로드 되었습니다. 인터뷰에서 김재경 교수는 BIMAG에서 진행중인 수면질환에 대한 연구에 대해 소개했습니다.
On May 10th, 2024, Jingyi Jessica Li from UCLA gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of her talk was “ClusterDE: a post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping.”
On May 27th, the recent research findings conducted by BIMAG on the causal relationship between mood disorders and circadian rhythms were reported by various media outlets. Detailed research findings can be found in the paper titled “Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data,” recently published in eBioMedicine.
지난 5월 27일, BIMAG에서 진행한 기분장애와 일주기 리듬 사이의 인과관계에 관한 최근 연구 성과가 여러 언론사를 통해 보도되었습니다. 자세한 연구 내용은 최근 eBioMedicine에 출판된 Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data 논문을 통해 확인할 수 있습니다.
