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The discussions collectively demonstrate high enthusiasm and support for the publication's goal of improving benchmarking in cancer genomics, with posters emphasizing methods, collaborations, and future implications; language like 'big steps,' 'best practice,' and references to prestigious journals highlight the perceived significance and potential of this work.
Most comments express strong support and approval for the importance of establishing standardized reference datasets, emphasizing consensus on its significance.
Discussions reveal high interest, with multiple posts highlighting the practical applications and advancements in cancer genomics research.
Posts delve into technical details, praising methods like the SomaticSeq App and referencing influential studies, indicating deep engagement.
The coverage reflects recognition of the publication's potential to standardize practices and improve cancer mutation detection, showcasing a high perceived impact.
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing https://t.co/HvmuSxq1t0 https://t.co/t6kEWmDXPD
Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing https://t.co/j79FvpFB4q Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing https://t.co/ZS8GD66kXG
Big steps towards practical use of WGS&WES in personalization of cancer therapy. Congrats to my colleagues form @IMTM_Olomouc, @EatrisEric, @FIMM_UH, @karolinskainst, etc. contributing to two papers in @NatureBiotech in one issue.
Fang LT, et al.: Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole genome sequencing. Nat Biotechnol. https://t.co/9IsTpMyyko
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing https://t.co/ldLwtAAhLv #science #genomics
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing. #SEQC2 #WGS #BenchmarkingDataSets #MutationDetection https://t.co/RY9wXXqGJj @NatureBiotech
This presentation discusses methods to establish community reference samples and call sets for benchmarking cancer mutation detection using whole-genome sequencing. These standardized datasets aim to improve sequencing…
Demo how to use SomaticSeq App on precisionFDA to create somatic mutation classifiers based on SEQC2 reference data and call sets and use the classifiers to make prediction for other cancer data sets. The study…
Video presentation on the bioinformatic methods to establish high-confidence somatic mutation reference call sets for #SEQC2 cancer reference samples and data sets https://t.co/Xxs4kTEmJm
Video demo of using the SomaticSeq App on precisionFDA to train and predict somatic mutations in paired tumor-normal sequencing data: https://t.co/JjmZXAOnnM
RT @ltfang: WGS and WES cancer reference datasets from multi-center cross-platform benchmark study: https://t.co/kva4Glf56X - Best practi…
WGS and WES cancer reference datasets from multi-center cross-platform benchmark study: https://t.co/kva4Glf56X - Best practice: https://t.co/JLnWGPVVhz (https://t.co/W5PZ0wJk0B) - High-confidence somatic mutation call set: https://t.co/RAqSp04IT1 (https://t.co/BOYki3Toxf)
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing https://t.co/ldLwtAAhLv #science #genomics
RT @notSoJunkDNA: Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing https://t.co/j79FvpFB4q Es…
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing https://t.co/ldLwtAAhLv #science #genomics
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing https://t.co/ldLwtAAhLv #science #genomics
RT @NatureBiotech: Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-geno…
Big steps towards practical use of WGS&WES in personalization of cancer therapy. Congrats to my colleagues form @IMTM_Olomouc, @EatrisEric, @FIMM_UH, @karolinskainst, etc. contributing to two papers in @NatureBiotech in one issue.
Fang LT, et al.: Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole genome sequencing. Nat Biotechnol. https://t.co/9IsTpMyyko
RT @NatureBiotech: Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-geno…
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing. #SEQC2 #WGS #BenchmarkingDataSets #MutationDetection https://t.co/RY9wXXqGJj @NatureBiotech
RT @notSoJunkDNA: Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing https://t.co/j79FvpFB4q Es…
RT @notSoJunkDNA: Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing https://t.co/j79FvpFB4q Es…
RT @notSoJunkDNA: Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing https://t.co/j79FvpFB4q Es…
RT @notSoJunkDNA: Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing https://t.co/j79FvpFB4q Es…
RT @NatureBiotech: Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-geno…
RT @NatureBiotech: Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-geno…
RT @notSoJunkDNA: Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing https://t.co/j79FvpFB4q Es…
Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing https://t.co/j79FvpFB4q Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing https://t.co/ZS8GD66kXG
RT @NatureBiotech: Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-geno…
RT @NatureBiotech: Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-geno…
RT @NatureBiotech: Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-geno…
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing https://t.co/HvmuSxq1t0 https://t.co/t6kEWmDXPD