Still in the topic of read classification at @IccMg #ICCMg6, Dr @AbrahamGihawi brings our attention that the minimum read threshold is ⚠️ critical ⚠️ to avoid false positives (results from a simulated dataset ➡️ https://t.co/8gsMJoCTQj) https://t.co/YsjKbf
RT @GeCIPteam: Check out this paper by GeCIP member @AbrahamGihawi on pipelines for querying whole genome sequence data for pathogen sequen…
Check out this paper by GeCIP member @AbrahamGihawi on pipelines for querying whole genome sequence data for pathogen sequences: https://t.co/V6iCLRpFTS. If you are a GeCIP member and would like the GeCIP team to share your publication please get in touch!
RT @BioDecoded: SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines | Geno…
mOTUs2 classifications were left unfiltered whereas Kraken had a confidence threshold of 0.2 and a minimum read threshold of 500 applied The data above demonstrates that mOTUs2 and Kraken have comparable performances. https://t.co/3tlPHkzJ1l
RT @BioDecoded: SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines | Geno…
RT @BioDecoded: SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines | Geno…
RT @BioDecoded: SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines | Geno…
SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines | Genome Biology https://t.co/5n1YIvXlzh #bioinformatics https://t.co/iKkhtbXpsp
RT @GenomeBiology: Gihawi, @danbrewer and co benchmark tools for identifying pathogens in cancer sequencing datasets. The top-performing me…
Well done Abe!
New from #CR_UK https://t.co/utFzYtCLfo SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines
RT @MicrobiomeBot: SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines. ht…
RT @MicrobiomeBot: SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines. ht…
RT @AbrahamGihawi: Delighted to announce my first manuscript as primary author. A benchmark of some incredible metagenomics software to fin…
SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines. https://t.co/iKPQtTG3sb
SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines. https://t.co/outyHha4Fu
SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines. https://t.co/a8QqUkb17k
RT @AbrahamGihawi: Delighted to announce my first manuscript as primary author. A benchmark of some incredible metagenomics software to fin…
RT @alessio_mila: Nice paper from @AbrahamGihawi, testing more than 70 distinct combinations of tools and parameters for metagenomic profil…
Nice paper from @AbrahamGihawi, testing more than 70 distinct combinations of tools and parameters for metagenomic profiling of tumor tissue samples. From the benchmark, #mOTUs2 comes out as one of the best tools!
RT @AbrahamGihawi: Delighted to announce my first manuscript as primary author. A benchmark of some incredible metagenomics software to fin…
RT @danbrewer: New paper out today for our lab. SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data le…
RT @bigctweets: Check out this new paper from one of the research projects Big C has funded! https://t.co/U8uHgTxNqS
RT @GenomeBiology: Gihawi, @danbrewer and co benchmark tools for identifying pathogens in cancer sequencing datasets. The top-performing me…
Gihawi, @danbrewer and co benchmark tools for identifying pathogens in cancer sequencing datasets. The top-performing methods were combined into a pipeline called SEPATH https://t.co/j2Da6lOqZl https://t.co/Tt11MRbUs7
Check out this new paper from one of the research projects Big C has funded!
New paper out today for our lab. SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines. Excellent work from @AbrahamGihawi. Funded by @bigctweets https://t.co/XGNtCsmNpL
RT @AbrahamGihawi: Delighted to announce my first manuscript as primary author. A benchmark of some incredible metagenomics software to fin…
Delighted to announce my first manuscript as primary author. A benchmark of some incredible metagenomics software to find an approach to take on cancer WGS data. Very excited to share some results from @GenomicsEngland at their conference in a few weeks!
SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines. https://t.co/Q78cMu9gDd