This version makes the package compatible with cBioPortal v5.0. Main updates include:
structural-variant
instead of fusion
in
specification.get_structural_variants_by_sample()
and
get_structural_variants_by_study()
added as aliases for
get_fusions_by_sample()
and
get_fusions_by_study()
. These functions return the same
results as their fusion counterparts and both names will be
supported.data_type
argument,
structural_variant
is now available as option. This will
return the same results as fusion
.get_genetics_by_sample()
and
get_genetics_by_study()
functions are now named lists with
names: mutation
, cna
, and
structural_variant
(changed from fusion
) to be
consistent with cBioPortal v5.0 naming conventions.prad_msk_2019_structural_variants
->
prad_msk_2019_structural_variants
)add_hugo
argument of
get_*_by_sample()
functions.This is the first release submitted to CRAN, and includes all updates (listed below under versions 0.2.0 and 0.2.1) made since last Github release (0.1.0). Package has been overhauled since first release (0.1.0), and code will not be backwards compatible with that version.
get_genomics_by_sample()
and related functions
to pull all gene data available for select samples instead of pulling
data for IMPACT genes only by defaultget_genomics_by_sample()
and related functions.get_genomics_by_sample()
and related functions
to pull all gene data available for selected sample by default instead
of pulling data for IMPACT genes only by default. This will change
default results when user does not specify genes, and could return more
results than previously as they will include results for non IMPACT gene
mutations, CNA or fusions, if available.get_genomics_by_sample()
and related functions (previously
had to specify by Entrez Gene ID or NULL
) (#33)get_genomics_by_sample()
and related functions with new
panel
argument. Previously could only specify
genes
by specified sets of gene IDs. (#15)sample_id
, study_id
), but now accept any
capitalization/delimiters (e.g. sampleID
,
sample id
) (#16)cbp_api()
.get_data_by_study()
and .get_data_by_sample()
with wrappers for each data type