Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 67,594 bioRxiv papers from 298,144 authors.

Karyotype data are the most common form of genetic data that is regularly used clinically. They are collected as part of the standard of care in many diseases, particularly in pediatric and cancer medicine contexts. Karyotypes are represented in a unique text-based format, with a syntax defined by the International System for human Cytogenetic Nomenclature (ISCN). While human-readable, ISCN is not intrinsically machine-readable. This limitation has prevented the full use of complex karyotype data in discovery science use cases. To enhance the utility and value of karyotype data, we developed a tool named CytoGPS. CytoGPS first parses ISCN karyotypes into a machine-readable format. It then converts the ISCN karyotype into a binary Loss-Gain-Fusion (LGF) model, which represents all cytogenetic abnormalities as combinations of loss, gain, or fusion events, in a format that is analyzable using modern computational methods. Such data is then made available for comprehensive "downstream" analyses that previously were not feasible.

Download data

• Downloaded 213 times
• Download rankings, all-time:
  • Site-wide: 47,057 out of 67,594
  • In bioinformatics: 5,291 out of 6,655
• Year to date:
  • Site-wide: 24,026 out of 67,594
• Since beginning of last month:
  • Site-wide: 29,141 out of 67,594

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide