Bioinformatics Training and Education Program

BTEP Distinguished Speakers Seminar Series

2023 Seminar Series

Hematopoietic stem cell-intrinsic and -extrinsic contribution to aging and clonal hematopoiesis

  • When: September 14, 2023
  • Delivery: Online
  • Presented By: Jennifer Trowbridge (The Jackson Lab)
  • While there is a positive correlation between cancer and aging, the mechanisms underlying this relationship remain unclear. Clonal hematopoiesis, a benign condition that is both associated with aging and predisposes to increased risk of development of blood cancers, presents an opportunity to understand the connection between cancer and aging. This seminar will discuss emerging discoveries of mechanisms acting within the hematopoietic stem cells as well as alterations in the bone marrow microenvironment that promote clonal hematopoiesis and transformation to blood cancers.

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AI Models of Cancer in Precision Medicine: Trey Ideker

  • When: March 30, 2023
  • Delivery: Online
  • Presented By: Trey Ideker (UCSD)
  • AI Models of Cancer and Precision Medicine: Building a Mind for Cancer

    The long-term objective of the Ideker Lab is to create artificially intelligent, mechanistic models of cancer and neurodegenerative diseases for translation of patient data to precision diagnosis and treatment. We seek to advance this goal by addressing fundamental questions in the field: What are the genetic and molecular networks that promote disease, and how do we best chart these? How do we use knowledge of these networks in intelligent systems for predicting the effects of genotype on phenotype? – Ideker Lab,

    This webinar will be recorded and made available on the BTEP web site: within 48 hours after the event ends. 

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2022 Seminar Series

A 500 Year Plan for Genetics, Epigenetics and Cell Engineering Archived

  • When: September 22, 2022
  • Delivery: Online
  • Presented By: Christopher Mason (Weill Cornell Medicine)
  • The avalanche of easy-to-create genomics data has impacted almost all areas of medicine and science, from cancer patients and microbial diagnostics to molecular monitoring for astronauts in space. In this lecture, new discoveries from RNA- and DNA-sequencing with the FDA’s SEQC study show the ability of single-molecule methods to reveal rare alleles and provide more comprehensive epigenomics maps of patients and cancers. Also, recent technologies and algorithms from our laboratory and others demonstrate that an integrative, cross-kingdom view of patients (precision metagenomics) holds unprecedented biomedical potential to discern risk, improve diagnostic accuracy, and to map both genetic and epigenetic states, as well as clonal changes in mutations with clonal hematopoiesis. Finally, these methods and molecular tools work together to guide comprehensive, longitudinal, multi-omic views of human astronaut physiology and biology in the NASA Twins Study and several other missions with SpaceX and Axiom, which lay the foundation for future, long-duration spaceflight, including sequencing, quantifying, and engineering genomes to survive on other planets over the next 500 years (

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Decoding Breast Cancer Progression with Single Cell Genomics Archived

  • When: July 14, 2022
  • Delivery: Online
  • Presented By: Nicholas Navin (MD Anderson Cancer Center)
  • The efforts of our laboratory are split evenly between experimental and computational biology.  We develop new experimental methods to sequence single cells and isolate rare subpopulations and develop new analytical approaches to detect variants and apply statistical methods to these data sets.  We focus mainly on breast cancer to understand the role of clonal diversity in the evolution of invasion, metastasis and response to chemotherapy.  We are also using these tools to study rare tumor cell subpopulations including circulating tumor cells and cancer stem cells.  Our goal is to understand the role of clonal diversity in tumor evolution so that we can exploit this diversity for therapeutic vulnerabilities and improve diagnostic tools and the early detection of cancer.  We fully expect that applying these tools to human patients will lead to reduced morbidity in breast cancer.

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Mapping the Human Body One Cell at a Time Archived

  • When: June 16, 2022
  • Delivery: Online
  • Presented By:
  • Sarah Teichmann is co-founder and principal leader of the Human Cell Atlas (HCA) international consortium. The International Human Cell Atlas initiative aims to create comprehensive reference maps of all human cells to further understand health and disease.

    The 37 trillion cells of the human body have a remarkable array of specialized functions, and must cooperate and collaborate in time and space to construct a functioning human. In this talk I will describe my lab’s efforts to understand this cellular diversity through a programme of cell atlasing. Harnessing cutting edge single cell genomics, imaging and computational technologies, we investigate development, homeostasis and disease states, at scale and in 3D, with a particular focus on immunity. I will illustrate the relevance of cell atlas-ing for engineering organoids and regenerative medicine, and will share new results providing insights into pacemaker cells from the sinoatrial node of this heart. Overall I hope to illustrate the power of single cell approaches in unlocking fundamental knowledge about the human body.

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Realizing Data Interoperability Across Basic Research, Clinical Care, and Patients Archived

  • When: April 21, 2022
  • Delivery: Online
  • Presented By: Melissa Haendel (CU Anschutz)
  • Making data reusable for discovery and shared analytics across domains is a laborious, specific-skill requiring task that most data providers do not have the resources, expertise, or perspective to perform. Equally challenged are the data re-users, who function in a landscape of bespoke schemas, formats, and coding – when they can get past understanding the licensing and access control issues. Making the most of our collective data requires partnerships between basic researchers, clinicians, patients, and informaticians, as well as sophisticated strategies to address a myriad of interoperability issues. This talk will review different communities endeavors towards these ends from across the translational spectrum.

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Integrated Analysis of Single Cell Data Across Technologies and Modalities Archived

  • When: February 17, 2022
  • Delivery: Online
  • Presented By: Rahul Satija (NYU)
  • Our goal is to understand how cellular heterogeneity encodes the molecular structure, function, and regulation of complex biological systems. Primarily using single cell genomics, we analyze systems by profiling their most fundamental units individually – a ‘bottom-up’ approach that allows us to study how diverse groups of cells work together to drive biological processes and behaviors. – Satija Lab

    Since Dr. Satija will be presenting unpublished work in this webinar, it will not be recorded or distributed.

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