Cong Ma

Assistant Professor, Gilbert S. Omenn Department of Computational Medicine & Bioinformatics, University of Michigan

[Toshiro Hara @hara_toshiro]

🧠✨Excited to share our @Cancer_Cell Preview: “Spatial Patterns of Glioblastoma”! @Cong992 and I discuss how uncovering tumor cell spatial organization and interactions can reveal new paths for diagnosis and treatment. https://t.co/BE5fgZpOZ5

[Cong Ma @Cong992]

Excited to present our work CalicoST (https://t.co/dOa4SET6xi) for inferring allele-specific CNAs and phylogeography at #Recomb2024 on Apr 29 15:18pm.

[Ben Raphael @benjraphael]

Spatial transcriptomics meets complex analysis – our new method Belayer models spatial gene expression in layered tissues, now published in @CellSystemsCP. Work led by @Cong992 and @uthsavc with Shirley Zhang. 1/6 https://t.co/OV0Fq0Hsyo

[Mohammed El-Kebir @melkebir]

Happy to share our paper (https://t.co/2CHP5RsAWZ…) on identifying transcription regulatory sequences (TRSs) and genes in coronavirus genomes, which also appeared in #RECOMB2022. This started as a course project by @psashittal and @ZHANG_Chuanyi in my bioinformatics class. (1/n)

[Cong Ma @Cong992]

I'm so honored to be awarded @DamonRunyon Quantitative Biology Fellowship and excited to keep working on modeling 3D tumors using single-cell and spatial multi-omics with Dr.@benjraphael and Dr. Li Ding.

[Damon Runyon Cancer Research Foundation @DamonRunyon]

Welcome to the third class of Damon Runyon Quantitative Biology Fellows! Using tools of computational biology to generate and interpret cancer research data at exceptional scale, these scientists will push the boundaries of what’s possible in #cancerresearch.

[Cong Ma @Cong992]

Thank you, Carl! It's a very precious experience for me to work on this work in this group!

[Carl Kingsford @ckingsford]

Congratulations to Dr. Cong Ma @Cong992, who completed her Ph.D. in computational biology @CMUCompBio (in CMU's School of Computer Science @SCSatCMU) with her pioneering methods for detecting structural variants & anomalies in RNA-seq. More about her work: https://t.co/pEuHeT2Ufi

[Ray and Stephanie Lane Computational Biology Dept. @CMUCompBio]

Algorithm rapidly finds anomalies in gene expression data & works to identify and correct mistakes it may have made. To read more, visit our website: https://t.co/8nCqaLMhHd

[Carl Kingsford @ckingsford]

Yutong Qiu (@yutong_qiu from @CMUCompBio) giving a talk at #WABI2019 on her paper with Cong Ma (@Cong992) introducing the "Multiple Compatible Arrangements Problem" (MCAP) to find structural variants from gene expression sequencing (RNA-seq). https://t.co/0vWgpDrcBs

[CMU School of Computer Science @SCSatCMU]

Scallop software from @CMUCompBio reconstructs RNA transcripts more accurately, will improve understanding of gene expression. @NatureBiotech https://t.co/aKFjbBshjH

[Carl Kingsford @ckingsford]

Thks for all the support! In case is not obvious, the accusations regarding Salmon are false, see detailed response: https://t.co/rYdxcnPKed

[Cong Ma @Cong992]

Want to go to NYC to watch a broadway play~