Archive

2023:

Journal Club Schedule
  Speaker Date Paper/Title Room
1 Jai Chand Patel 10/6/2023 A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories DRC1 6003
2 Naresh Mutha 10/13/2023 Insights from multi-omics integration in complex disease primary tissue DRC1 6003
3 Sahil Sethi 10/20/2023 Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution DRC1 6003
4 Rajashree Chakraborty 10/27/2023 Transcriptomic diversity of cell types across the adult human brain DRC1 6003
5 Sankarasubramanian Jagadesan 11/3/2023 Multi-omic profiling of the developing human cerebral cortex at the single-cell level DRC1 6003
6 Nagasundaram Nagarajan 11/10/2023 Highly accurate protein structure prediction with AlphaFold DRC1 6003
7 Babu Guda 11/17/2023 Accurate proteome-wide missense variant effect prediction with AlphaMissense DRC1 6003
8 Nagavardhini Avuthu 12/1/2023 Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer DRC1 6003
9 Sushil Shakyawar 12/15/2023 The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research 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.