Check out the latest videos on YouTube to learn how to best use NCBI graphical viewers, SRA, PGAP, and other resources.
Genome Data Viewer: Analyzing Remote BAM Alignment Files and Other Tips
This video shows you how to upload remote BAM files, and succinctly demonstrates handy viewer settings, such as Pileup display options, and highlights the very helpful tooltips in the Genome Data Viewer (GDV). There’s also a brief blog post on the same topic.
This codeathon will focus on single cell data, including RNA, DNA, and chromatin accessibility. We are particularly interested in proposals for pipelines and analysis of SRA data, data interoperability, and using machine learning techniques in clustering. We also welcome proposals for tutorial pipelines and educational tools. You will have access to computational resources in the Cloud to turn your idea into a working prototype. Visit our website for examples of previous codeathon projects.
On Wednesday, November 13, 2019 at 12 PM, NCBI staff will present a webinar on NCBI resources for next-gen sequence analysis. You will learn about key resources that support multiple aspects of next-gen sequence analyses, including quality control, alignment, data visualization and interpreting results. You will also see how to access and apply these resources for both SRA and your own RNASeq/DNASeq datasets. Whether you’re embarking on your first analysis or already have a background in bioinformatics, you’ll find tools that meet your needs!
Date and time: Wed, Nov 13, 2019 12:00 PM – 12:45 PM EDT
After registering, you will receive a confirmation email with information about attending the webinar. A few days after the live presentation, you can view the recording on the NCBI YouTube channel. You can learn about future webinars on the Webinars and Courses page.
This blog post is geared toward genomics professionals.
From January 5th-7th, 2015, NCBI, in conjunction with the NIH Office of Data Science, held a genomics hackathon, where genomics professionals gathered to write useful, efficient pipelines for people new to genomics.
After we announced the hackathon, over 130 qualified applicants expressed interest in attending. Four team leads chose 23 attendees from this pool, then assigned initial predefined roles and provided biological guidance for a product in one of four subject areas: DNA-Seq, RNA-Seq, Epigenomics and Metagenomics. Continue reading →