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-rw-r--r-- | issues/data_upload_gn/hurdles_updating_names_to_GN.gmi | 21 | ||||
-rw-r--r-- | topics/gn-learning-team/progress-hurdles-lessons-learned-journey.gmi | 1 |
2 files changed, 21 insertions, 1 deletions
diff --git a/issues/data_upload_gn/hurdles_updating_names_to_GN.gmi b/issues/data_upload_gn/hurdles_updating_names_to_GN.gmi new file mode 100644 index 0000000..3300ece --- /dev/null +++ b/issues/data_upload_gn/hurdles_updating_names_to_GN.gmi @@ -0,0 +1,21 @@ +## Challenges with uploading phenotype and genotype files + +### Tags + +* assigned by:flisso +* assigned to: bonfacem, fred +* priority: high +* type: backend +* keywords: uploader +* status: in progress + +### Problem description + +### Observations made by Rob +There was failure in enforcing unique sample/case/individual names when naming column datasets within and across + +### Observations by Zachary +The phenogen track is biased towards mouse and/or rat. Does not check for species, which is an important functionality to be included. + +### Harm Dataset genetype names versus the available genetype names in GeneNetwork webservice database +There is/was a hurdle on identifying if the genetype name used in Harm dataset are the same as the ones in GN, or at least do they point to the same genotype dataset. diff --git a/topics/gn-learning-team/progress-hurdles-lessons-learned-journey.gmi b/topics/gn-learning-team/progress-hurdles-lessons-learned-journey.gmi index ed83b81..5679bbb 100644 --- a/topics/gn-learning-team/progress-hurdles-lessons-learned-journey.gmi +++ b/topics/gn-learning-team/progress-hurdles-lessons-learned-journey.gmi @@ -1,6 +1,5 @@ # My Software Development Journey so far,
-
* The following includes a brief story reflecting my progress so far in learning software development as part of the GeneNetwork team.
* I am currently a bioinformatics expert by profession. My sole responsibility is to use computational tools and knowledge in statistics and mathematics to answer biological questions and problems.
This is done by analyzing a bunch of biological data generated from a set of experiments.
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