We have a RNAseq analysis pipeline hosted on AWS where we pump hundreds of RNAseq samples through an alignment + gene counting pipeline. At the end of this pipeline we use MyGene to generate gene symbols for all the genes that have counts. This worked well during testing, but once deployed into production I started a multiple runs, each containing hundreds of samples being run at the same time. This likely totaled to millions of gene_ids being queried through mygene resulting in the following error:

gene_symbol_queries = mg.querymany(stats_df["Geneid"], "ensembl.gene", fields="symbol", returnall=False, as_dataframe=True) File "/usr/local/lib/python3.6/site-packages/biothings_client/base.py", line 542, in _querymany for hits in self._repeated_query(query_fn, qterms, verbose=verbose): File "/usr/local/lib/python3.6/site-packages/biothings_client/base.py", line 223, in _repeated_query from_cache, query_result = query_fn(batch, *fn_kwargs) File "/usr/local/lib/python3.6/site-packages/biothings_client/base.py", line 541, in query_fn def query_fn(qterms): return self._querymany_inner(qterms, verbose=verbose, *kwargs) File "/usr/local/lib/python3.6/site-packages/biothings_client/base.py", line 488, in _querymany_inner return self._post(_url, params=_kwargs, verbose=verbose) File "/usr/local/lib/python3.6/site-packages/biothings_client/base.py", line 176, in _post res.raise_for_status() File "/usr/local/lib/python3.6/site-packages/requests/models.py", line 941, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 400 Client Error: search_phase_execution_exception for url: http://mygene.info/v3/query/

This error is raised for about 30% of all our jobs. (1108 Succeeded, 605 failed). Is the high traffic causing this error? Do you have any advice for a way to get around this issue?