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Article summary:

1. The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium has released data on somatic and germline variants, mutational signatures, subclonal reconstructions, transcript abundance, splice calls and other core data.

2. Code for grouping structural variants into structural-variant clusters and footprints is available to the public under the GNU General Public License v.3.0.

3. The code for simulating rearrangements and sampling from the hierarchical Dirichlet process for identification of mutational signatures is also available to the public.

Article analysis:

The article provides a comprehensive overview of the data released by the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, as well as the code that is available to access this data. The article does not appear to be biased or one-sided in its reporting; it presents all relevant information in an unbiased manner and does not make any unsupported claims or omit any points of consideration. Furthermore, it does not contain any promotional content or partiality towards any particular viewpoint or opinion.

The article does note that researchers will need to apply for access to certain parts of the dataset that could potentially identify participants, such as germline alleles and underlying sequencing data, which ensures that participant privacy is maintained while still allowing researchers access to necessary information. Additionally, it notes that most molecular, clinical and specimen data are in an open tier that does not require access approval, which allows for greater accessibility while still protecting participant privacy.

In conclusion, this article appears to be trustworthy and reliable; it provides comprehensive information on accessing the data released by the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium without making unsupported claims or omitting important points of consideration. It also takes steps to ensure participant privacy while still allowing researchers access to necessary information.