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Vector Laboratories
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Corning Life Sciences
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ATCC
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Illumina Inc
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Thermo Fisher
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ATCC
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Image Search Results
Journal: GigaScience
Article Title: LRTK: a platform agnostic toolkit for linked-read analysis of both human genome and metagenome
doi: 10.1093/gigascience/giae028
Figure Lengend Snippet: Evaluation of metagenome assemblies on linked-read sequencing. (A) Evaluation of the assembly performance for MEGAHIT, metaSPAdes, Athena, cloudSPAdes, and Pangaea on 10x Genomics, stLFR, and TELL-seq linked-read sequencing data from ATCC-MSA-1003. Pangaea does not support 10x Genomics linked reads. The left panel demonstrates the calculated NA50 values while the right panel shows the calculated N50 values. (B) Illustration of the 2 assembled circular contigs. (C) The distribution of completeness and contamination for reconstructed bins. (D) The number of contigs in each contig group. (E) The number of detected transfer RNAs in each contig group.
Article Snippet: Comparing different SNV callers implemented in LRTK, we discovered that approximately 176,891 SNVs were jointly detected by FreeBayes [22], SAMtools [ ], and inStrain [ ] on
Techniques: Sequencing
Journal: GigaScience
Article Title: LRTK: a platform agnostic toolkit for linked-read analysis of both human genome and metagenome
doi: 10.1093/gigascience/giae028
Figure Lengend Snippet: Evaluation of linked-read based detection of variation in the human genome. (A, B) Performance metrics on the detection of SNVs and INDELs using FreeBayes, GATK, and SAMtools for 10x Genomics, stLFR, and TELL-seq. (C, D) The performance on phasing of small variants using HapCUT2 and WhatsHap for 10x Genomics, stLFR, and TELL-seq. (E) Illustration of the performance on IBD detection. (F) The performance on detection of deletions using Aquila, LinkedSV, and LongRanger. (G) The performance on detection of insertions using Aquila, Pamir, and PopIns2.
Article Snippet: Comparing different SNV callers implemented in LRTK, we discovered that approximately 176,891 SNVs were jointly detected by FreeBayes [22], SAMtools [ ], and inStrain [ ] on
Techniques: