This shows popular genes in the related genes kit, if no genes are yet searched. Here "popular" means highly-cited in publications, as measured in PubMed via https://github.com/pkerpedjiev/gene-citation-counts.
The top genes shown by default are intended as hints. By showing interesting genes to start, this mitigates a chicken-and-egg usability issue of gene search, where users must a priori know interesting genes in order to explore them.
This update also introduces technical support for parsing Ideogram annotations from simple TSV files. Such a common format improves developer experience for data engineers who build genomic pipelines for Ideogram input.
The brief animation below demonstrates the user flow:
Coverage decreased (-12.3%) to 77.383% when pulling f608bcce3913b429dcdb0ab0383ae767a3e72fae on popular-genes into e1e694299dc998a129301270dcd2497624f642c1 on master.
This shows popular genes in the related genes kit, if no genes are yet searched. Here "popular" means highly-cited in publications, as measured in PubMed via https://github.com/pkerpedjiev/gene-citation-counts.
The top genes shown by default are intended as hints. By showing interesting genes to start, this mitigates a chicken-and-egg usability issue of gene search, where users must a priori know interesting genes in order to explore them.
This update also introduces technical support for parsing Ideogram annotations from simple TSV files. Such a common format improves developer experience for data engineers who build genomic pipelines for Ideogram input.
The brief animation below demonstrates the user flow: