Releases: yannchristinat/oncoscanR
Releases · yannchristinat/oncoscanR
Oncoscan v1.3.1
Enhancement in function load_chas
to accomodate for bug #3
(Will be version 1.4 in R/bioconductor 3.18)
Oncoscan v1.2
- Added two functions to handle ASCAT files instead of ChAS
load_ascat
and
workflow_oncoscan.ascat
. - Main workflow function
workflow_oncoscan.run
is renamed
workflow_oncoscan.chas
for consistency with the ASCAT function - Bug fixes in adjust_loh (crashed with segments of length 1 or if no LOH
segments where present) - Bug fix in script
run_oncoscan_workflow.R
OncoscanR v1.1
What's new in v1.1
- To simplify the workflow, the gender of the patient is not taken into account
anymore. That implies that in a male sample, a gain of 3 extra copies on the X
or Y chromosome is considered as a gain and not an amplification anymore. For
female samples, nothing changes. - The oncoscan coverage has been corrected to reflect only areas where there are
groups of probes. Isolated probes where causing issues to identify arm-level
alterations as ChAS segments where never extended to these probes and the 90%
threshold could never be met (particularly on chromosomal arms 9p and Yq). - Minor corrections in vignette
OncoscanR v1.0
What's new in v1.0?
- The nLST test has been clinically validated on 384 patients from the PAOLA-1
trial and the recommended threshold is now >=15. - The default value for arm-level alterations has been set to 90% as mentioned
in the publication [Christinat et al., J Mol Diagn 2021; PMID: 34454110]. - The genomic LOH score (percent of LOH bases) has been added;
score_gloh
. - Adds a flag "low tumor?" in the oncoscan workflow if the percentage of altered bases is less than 1%.
- Package to be released on Bioconductor
OncoscanR v0.2.1
No novel functionalities.
Compatible with R 4.0.3 and GenomicRange 1.42.0 (BioConductor 3.12)
OncoscanR v0.2
Change to the HRD workflow with the use of the new nLST score (see .
OncoscanR v0.1
OncoscanR v0.1 with Myriad-like computation of HRD score. Use the file oncoscanR_0.1.0.tar.gz for installation in R.