<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/43658?offset=450 https://bioinformaticsonline.com/researchlabs/view/38418/charles-swanton-lab Tue, 11 Dec 2018 08:09:22 -0600 <![CDATA[CHARLES SWANTON LAB]]> They are using the latest DNA sequencing technology to read the genetic makeup of cancer cells within tumours in ever greater detail, teasing out patterns of evolution (evolutionary rule books), cancer heterogeneity and working out what changes have happened as a tumour evolves. We’re also investigating the processes that cause mutations and accelerate tumour evolution and working out how they might be stopped. And we are running evolutionary clinical trials with immune and targeted therapies to bring the benefits of our work to patients as quickly as possible.

https://www.crick.ac.uk/research/labs/charles-swanton

]]> https://bioinformaticsonline.com/bookmarks/view/38735/genome-assembly-tutorial-genome-assembly-for-short-and-long-reads Sat, 19 Jan 2019 17:29:53 -0600 https://bioinformaticsonline.com/bookmarks/view/38735/genome-assembly-tutorial-genome-assembly-for-short-and-long-reads <![CDATA[Genome assembly tutorial "Genome Assembly for short and long reads"]]> In this lab we will perform de novo genome assembly of a bacterial genome. You will be guided through the genome assembly starting with data quality control, through to building contigs and analysis of the results. At the end of the lab you will know:

  1. How to perform basic quality checks on the input data
  2. How to run a short read assembler on Illumina data
  3. How to run a long read assembler on Pacific Biosciences or Oxford Nanopore data
  4. How to improve the accuracy of a long read assembly using short reads
  5. How to assess the quality of an assembly

https://bioinformaticsdotca.github.io/high-throughput_biology_2017

Address of the bookmark: https://bioinformaticsdotca.github.io/high-throughput_biology_2017_module6_lab

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