New software: gemucator Philip Fowler, 4th September 20184th September 2018 Short for “Genbank Mutation Locator”. A simple Python3 package that if you pass it a mutation it will give you the location in the specified genbank file. > gemucator-run.py --mutation rpoB_S450L rpoB_S450L: 761153 t 761154 c 761155 g (H37rV.gbk for M. tuberculosis is loaded by default). Or you can go the other way > gemucator-run.py --location 761153 rpoB_S450 It has no unit testing, but checks that the mutation is consistent with the genbank file which means you can check if your genetic catalogue is correct. > gemucator-run.py --mutation rpoB_K450L Traceback (most recent call last): File "/Users/fowler/Library/Python/3.5/bin/gemucator-run.py", line 6, in <module> exec(compile(open(__file__).read(), __file__, 'exec')) File "/Users/fowler/packages/gemucator/bin/gemucator-run.py", line 14, in <module> (locations,bases)=tb_reference_genome.locate_mutation(options.mutation) File "/Users/fowler/packages/gemucator/gemucator/core.py", line 127, in locate_mutation assert before==bases.translate(), "wildtype amino acid specified in mutation does not match the "+self.genbank_file+" genbank file" AssertionError: wildtype amino acid specified in mutation does not match the config/H37rV.gbk genbank file Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance computing tuberculosis
computing GROMACS 4.6 18th October 201323rd September 2018 GROMACS is a scientific code designed to simulate the dynamics of small boxes of stuff, that… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
New publication: detecting minor populations important for predicting fluoroquinolone resistance 5th April 20238th December 2023 When predicting if an infection is resistant or susceptible to a specific antibiotic, it is… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New paper: a deep learning model that reads MICs from images of 96 well plates 26th May 20251st July 2025 Our paper describing how a convolutional neural network model can determine the minimum inhibitory concentrations… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More