Archive

2024:

Avinash Veerappa
Date: 2/2/2024
Title: Deciphering the genetic diversity of the 86 billion neurons to understand the molecular basis of disorders
Room: DRC1 6003

Sushil Shakyawar
Date: 2/9/2024
Title: N-of-one differential gene expression without control samples using a deep generative model
Room: DRC1 6003

Naresh Mutha
Date: 2/16/2024
Title: New insights into the genetic etiology of Alzheimer’s disease and related dementias 
Room: DRC1 6003

Nagavardhini Avuthu
Date: 2/23/2024
Title: Clustering of single-cell multi-omics data with a multimodal deep learning method
Room: DRC1 6003

Rajashree Chakraborty
Date: 3/1/2024
Title: Single nucleus transcriptomics of ventral midbrain identifies glial activation associated with chronic opioid use disorder
Room: DRC1 6003

Saadyeh Rashidi
Date: 3/22/2024
Title: Peptide absent sequences emerging in human cancers
Room: DRC1 6003

Nagasundaram Nagarajan
Date: 3/29/2024
Title: VirtualFlow 2.0 - The Next Generation Drug Discovery Platform Enabling Adaptive Screens of 69 Billion Molecules
Room: DRC1 6003

Babu Guda
Date: 4/12/2024
Title: How to navigate through and succeed in an academic career?
Room: DRC1 6003

Jai Chand Patel
Date: 4/19/2024
Title: A draft human pangenome reference
The complete sequence of a human genome
Room: DRC1 6003

Sankarasubramanian Jagadesan
Date: 4/26/2024
Title: Single cell transcriptomics in human osteoarthritis synovium and in silico deconvoluted bulk RNA sequencing
Room: DRC1 6003

2023:

Jai Chand Patel
Date: 10/6/2023
Title: A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Room: DRC1 6003

Naresh Mutha
Date: 10/13/2023
Title: Insights from multi-omics integration in complex disease primary tissue
Room: DRC1 6003

Sahil Sethi
Date: 10/20/2023
Title: Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution
Room: DRC1 6003

Rajashree Chakraborty
Date: 10/27/2023
Title: Transcriptomic diversity of cell types across the adult human brain
Room: DRC1 6003

Sankarasubramanian Jagadesan
Date: 11/3/2023
Title: Multi-omic profiling of the developing human cerebral cortex at the single-cell level
Room: DRC1 6003

Nagasundaram Nagarajan
Date: 11/10/2023
Title: Highly accurate protein structure prediction with AlphaFold
Room: DRC1 6003

Babu Guda
11/17/2023
Title: Accurate proteome-wide missense variant effect prediction with AlphaMissense
Room: DRC1 6003

Nagavardhini Avuthu
Date: 12/1/2023
Title: Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
Room: DRC1 6003

Sushil Shakyawar
Date: 12/15/2023
Title: The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research
Room: DRC1 6003

2019:

1. Comprehensive Characterization of Cancer Driver Genes and Mutations
2. Integrative single-cell analysis
3. Meta-analysis of gut microbiome studies identifies disease-specific and shared responses
4. A new genomic blueprint of the human gut microbiota
5. Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
6. RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissues
7. Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation
8. Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response

2018:

1. Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.
2. Interplay between gut microbiota metabolism and inflammation in HIV infection
3. Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
4. Oncogenic Signaling Pathways in The Cancer Genome Atlas
5. A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex
6. Temporal development of the gut microbiome in early childhood from the TEDDY study
7. Sensitive tumour detection and classification using plasma cell-free DNA methylomes
8. A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data

2017:

1. Comprehensive single-cell transcriptional profiling of a multicellular organism.
2. Molecular Principles of Gene Fusion Mediated Rewiring of Protein Interaction Networks in Cancer.
3. Mutation Drivers of Immunological Responses to Cancer.
4. Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data.
5. Comparison of normalization and differential expression analyses using RNA-Seq data from 726 individual Drosophila melanogaster.
6. Mutational dynamics between primary and relapse neuroblastomas.
7. Simulation-based comprehensive benchmarking of RNA-Seq aligners.
8. Maturation of the infant microbiome community structure and function across multiple body sites and in relation to mode of delivery.
9. Systematic analysis of telomere length and somatic alterations in 31 cancer types.
10. Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy.
11. Clonal evolution of glioblastoma under therapy by Wang etal.