• SVAI Genomics Hackathon: Renal Cell Carcinoma

    Salesforce Rincon Cafe

    See Full Event Details: https://svai.co/p1rcc-main Apply to Participate: https://svai.co/research-apply **YOU MUST APPLY TO PARTICIPATE IN THIS EVENT** All levels of Engineering and Biology experience encouraged to apply. See the video from our last Genomics Hackathon: http://svai.co/Hacking-a-Cure INTRODUCTION We are excited to announce the second computational cancer genomics event in SVAI's Collaborative Research Series. This event will focus on papillary renal-cell carcinoma type 1 (p1RCC), in partnership with RareKidneyCancer.org, Salesforce, Google, NIH, and NCBI. We will invite over 100 researchers, engineers and enthusiasts to join us at Salesforce in San Francisco for an intense weekend of exploration in computational biomedicine. Interdisciplinary teams will work to further understand, develop potential interventions and advance the standard of care for p1RCC. In addition to sequencing a patient for this event, we will use genomic datasets for p1RCC through the NIH's Cancer Genome Atlas. BACKGROUND Papillary renal-cell carcinoma, accounts for between 15 to 20% of all kidney cancers. It occurs in the cells lining the small tubules in the kidney that filter waste from the blood and make urine. Little is known about the genetic basis of sporadic papillary renal-cell carcinoma, and no effective forms of therapy for advanced disease exist. See Full Event Details: https://svai.co/p1rcc-main Apply to Participate: https://svai.co/research-apply PURPOSE -Advance papillary renal-cell carcinoma research. -Contribute to real, ongoing patient case. -Create interdisciplinary opportunities for computer scientists and biologists. -Learn and develop skills in AI/ML, computational biology and cancer genomics. -Build an open community for collaborative biomedicine discovery. DATASETS SVAI facilitated sequencing for one p1RCC patient (paid for by UCSF Health): DNA Whole Genome Sequencing for Tumor and Blood samples, sequenced at 90x using a BGISEQ-500. The data will be available as .bam and .vcf files. NIH Cancer Genome Atlas (TCGA) for data for Papillary Renal Cell Carcinoma which includes: RNA-Seq gene expression, identifiable germ-line mutations and some clinical information: Cases (291) Genes (12,063) Mutations (25,723) WHY YOU SHOULD COME -Advanced learning in computational biology and cancer genomics. -Great mentoring sessions. -Make new friends. -Connect with us and our event partners. -Our first research event was amazing, and this one will be even better. See Full Event Details: https://svai.co/p1rcc-main Apply to Participate: https://svai.co/research-apply

  • Ancestry Meetup discussing Scientific Algorithms and Deployment in Production

    Ancestry, the global leader in family history and consumer genomics, is pleased to announce a Summer Series of networking events. The goal is to encourage collaboration between companies and academia, and to help solve difficult and interesting technology and scientific problems. Over the course of the Summer Series, speakers will share information and innovations around R&D, Search, and Data Scaling, with one Meetup reserved for Interns to learn about career paths in Science and Engineering. Who should join this group? It is intended for genomic scientists, software developers, and data scientists interested in analyzing genomic data as well as developers and engineers interested in implementing robust, scalable software solutions. Also, anyone who wants to learn, network and grow together in the field of technology and genomics. The next Ancestry Meetup event will be held at Ancestry’s office located across from AT&T Park in SOMA on Wednesday, July 12th from 5:30 – 8:30 p.m. Come enjoy conversations with the Ancestry science and engineering teams while sampling snacks and drinks. The First 20 onsite attendees will receive a complimentary AncestryDNA kit and several more will be handed out during the course of the event. During this Meetup, multiple speakers at Ancestry will discuss: • Development of scientific algorithms and deployment in production • Scalable solutions for data use • Mass migration to the cloud Agenda: 5:30 p.m. Registration, food and drinks 6:00 p.m. Keynote Speakers 6:30 p.m. Q&A panel 7:00 p.m. Breakout sessions by topic Speakers from Ancestry for the July 12th Meetup include: Eurie Hong, Azadeh Moghtaderi, and others from science and engineering teams. Location: Ancestry 153 Townsend St Suite #800 San Francisco, CA Additional Meetups for the Summer Series will be held in August and September. Dates and speakers will be posted in the next two weeks. If you’re interested in joining the Ancestry team, please visit http://www.ancestry.com/corporate/careers or speak with a recruiter at the event. We look forward to seeing you there!

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  • Genomics Meetup at Ancestry in San Francisco

    Location visible to members

    Ancestry, the global leader in family history and consumer genomics, is pleased to announce a new Bay Area Genomics Meetup group. The goal of the group is to encourage collaboration between companies and academia to help solve difficult and interesting technology and scientific problems. Topics will vary from one Meetup to the next and will be driven by interest from the community. Who should join this group? It is intended for genomic scientists, computational biologists, data scientists interested in analyzing genomic data as well as developers and engineers interested in implementing robust, scalable software solutions and bioinformatic pipelines. Also, anyone who want to learn, network and grow together in the field of genomics. The Genomics Meetup kick-off event will be held at Ancestry’s office located across from AT&T Park in SOMA on Wednesday, October 12th from 5:30 – 8:30 p.m. Come enjoy conversations with the Ancestry science and engineering teams while sampling snacks and drinks. The First 20 onsite attendees will receive a complimentary AncestryDNA kit and several more will be handed out during the course of the event. During this Meetup, Catherine Ball, Chief Scientific Officer at Ancestry will discuss: The challenges and excitement of building, maintaining and gaining scientific insights from the world’s largest direct-to-consumer genomics database with more than 2 million processed samples. Agenda: 5:30 p.m. Registration, food and drinks 6:00 p.m. Keynote Speaker 6:30 p.m. Q&A panel 7:00 p.m. Breakout sessions by topic Location: Ancestry 153 Townsend St Suite #800 San Francisco, CA If you’re interested in joining the Ancestry team, please visit http://workforancestry.com and speak with a recruiter at the event. We look forward to seeing you there! About Dr. Catherine Ball: Catherine Ball, Ph.D. has served as Chief Scientific Officer for AncestryDNA, LLC since September 2016. She joined Ancestry in 2011 as Vice President of Genomics and Bioinformatics, helping to establish the Company’s approach to genetic genealogy leading to the launch of AncestryDNA. Cathy is a genomic scientist who has annotated and mined the genomes of various organisms and created resources to help clinicians, citizens and other scientists exploit and explore genome data. Her career has focused on helping people around the world appreciate, understand and use their own genomic data. Cathy has collaborated on the annotation of the first sequenced eukaryotic genome (brewer's yeast) and has collaboratively built databases to explore the genomes of yeast, E. coli and the bacterium that causes tuberculosis. As a pioneer in data analysis resources for high-throughput biomedical technologies, she led the Stanford Microarray Database, the largest academic database of its kind. Cathy has used high-throughput biomedical data to shed light on diverse research topics, from the biology of infectious organisms to the mechanisms involved in cell division and cancer. She has presented seminars at leading universities and contributes to National Institutes of Health committees. She received a B.S. in Biology and a Ph.D. in Molecular Biology from the University of California, Los Angeles. Cathy was a post-doctoral fellow at the University of California, Berkeley prior to her research in the Departments of Genetics and Biochemistry at Stanford University School of Medicine.

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