Braun AT, Lai HJ, Laxova A, Biller JA, Hubertz EK, Zhao Z, Lu Q, Murali S, Brown DM, Worthey EA, Farrell PM.
CGDS team variant classification model competes well against other tools and is published as part of the CAGI competition.
CGDS and U-BDS Host Python-Focused Carpentry Workshop
CGDS and U-BDS recently hosted a Software Carpentry Workshop on March 18-19, 2024, drawing researchers eager to enhance their computational skills for more efficient and effective research practices. Led by a distinguished team of instructors — Manavalan Gajapathy, Bharat Mishra, Samuel Bharti, Austyn Trull, and Angelina Uno-Antonison, with James Scherer assisting — the workshop delved into fundamental concepts crucial for navigating the challenges of modern research. Participants were taught about bash shell, python, and version control with git.
Learn more about the workshop at: https://u-bds.github.io/2024-03-18-uab/.
CGDS and collaborators publish findings from a Pharmacogenomics study for Prader-Willi syndrome.
Bar-Peled Y, Denton JJ, Richards JL, Brown D, Worthey E, Strong TV.
CGDS and U-BDS Host R-Focused Carpentry Workshop
UAB’s CGDS and the U-BDS (Biological Data Science Core) held a Software Carpentry Workshop on December 14-15, 2023, to teach researchers computational skills. Instructors Manavalan Gajapathy, Austyn Trull, Bharat Mishra, Shaurita D. Hutchins, and Samuel Bharti, with the help of Santhosh Karthikeyan, Nilesh Kumar, Tarun Mamidi, and Yuwei Song, led sessions on the Unix Shell, version control with Git, and R and RStudio. The workshop included hands-on exercises and covered topics like data frame manipulation with dplyr and creating graphics with ggplot2. The event was designed to enhance participants’ technical skills and encourage using computational methods in research.
Learn more about the workshop at: https://u-bds.github.io/2023-12-14-uab/.
CGDS Trainee Attends EMBL-EBI Systems Biology Course
In October 2023, Shaurita D. Hutchins, a PhD trainee at the Center for Genomic Data Science (CGDS), was selected as one of 30 researchers to attend the EMBL-EBI Systems Biology Course in Hinxton, England, UK.
The course offered advanced training in systems biology, focusing on network-based modeling, multi-omics integration, and computational approaches critical to understanding complex biological systems. Participants engaged in lectures and hands-on sessions to utilize EMBL-EBI’s bioinformatics resources.
This course also allowed network opportunities by bringing together researchers from various backgrounds to share knowledge and explore potential partnerships. Shaurita’s participation reflects CGDS’s commitment to professional growth and innovation in genomics and computational biology.
CGDS is excited to see how the insights and skills gained from this course will enhance ongoing research efforts.
CGDS Trainee Presents at the UAB Cystic Fibrosis Research Center Symposium
On October 4, 2023, Tarun Mamidi, a doctoral candidate in CGDS, showcased his research at the UAB Cystic Fibrosis Research Center Symposium, focusing on using neural networks to identify modifier variants in Cystic Fibrosis (CF). 
His work aims to improve our understanding of how these variants can change how CF affects individuals and their response to treatments. By applying advanced neural network techniques, Tarun’s research offers potential pathways for more precise and effective therapeutic strategies.
Congratulations to Tarun!
CGDS Trainee Attends the CAGI⁕⁕ Workshop in Boston
Tarun Mamidi, a doctoral candidate in CGDS, recently participated in the Critical Assessment of Genome Interpretation (CAGI⁕⁕) Workshop from September 29 to October 1, 2023, in Boston, Massachusetts.
His presentation, “DITTO: Automated tertiary rare disease diagnosis pipeline using explainable Machine Learning,” highlighted innovative approaches to rare disease diagnosis.
The CAGI⁕⁕ Workshop is a gathering aimed at advancing genome interpretation techniques and addressing ethical, methodological, and technological challenges in the field. Through discussions on variant impact prediction and clinical genome interpretation, the event fosters collaboration among experts to enhance diagnosis and treatment strategies.
Tarun’s contribution to this forum underscores our lab’s commitment to leveraging technology for meaningful advancements in genome interpretation.
CGDS Trainee Attends 2023 CCTS Training Symposium
Samuel Bharti, a doctoral trainee in CGDS, attended the 2023 CCTS Training Symposium in Biloxi, MS from September 27th to September 29th. Thanks to his outstanding work, Samuel received a $300 travel award to present his latest research on Neurofibromatosis Type 1 (NF1).
In his poster presentation titled “Application of a Multi-Omics Approach in NF1 Deficient Tumors and Controls can Highlight Novel Associations and Therapeutic Targets,” Samuel shared how his research approach could open new pathways for understanding and treating NF1.
The CCTS Training Symposium is a gathering of some of the brightest minds in clinical and translational science, offering a platform for sharing cutting-edge research.
Congratulations to Samuel on his well-deserved recognition!
Rabab Fatima Embarks on a Journey at Georgia Tech
We’re excited to announce that Rabab Fatima, a Software Developer II at CGDS, has been accepted into the Master’s in Computer Science (Online) program at the Georgia Institute of Technology, starting Spring 2024.
Rabab’s decision to pursue this advanced degree stems from her commitment to deepening her expertise in Computer Science and Software Engineering, with a keen focus on the Interactive Intelligence specialization. This specialization aligns with her passion for exploring the intersection of Artificial Intelligence, Human-Computer Interaction, and Cognitive Science.
Rabab’s goal is to harness the knowledge and skills acquired through the OMSCS program to innovate and create cutting-edge technical products and tools. She aims to develop solutions that are not only technologically advanced but also intelligent and human-centered, reflecting a deep understanding of cognitive science alongside the latest developments in AI and Machine Learning. Rabab’s journey into this prestigious program is a testament to her dedication to her professional growth and her vision for contributing meaningful advancements in the tech world.
We congratulate Rabab on this significant achievement and look forward to the innovative contributions she will undoubtedly make to our field with the insights gained from her studies at Georgia Tech.
