Sentence examples for mixed sequencing data from inspiring English sources

Estimating tumor subpopulations from mixed sequencing data using PurBayes.

Inferring clonal substructure from mixed sequencing data and flow-sorted subpopulations using SciClone.

Given the mixed sequencing data, i.e. the short reads produced in this work and the publically available red clover EST sequences (mostly Sanger sequences), this constitutes a hybrid assembly.

The ORF A sequence of this strain could not be analyzed because of mixed sequence data.

For this approach, WGS sequencing was conducted for untagged DNA libraries from preselected insect individuals and it has been shown that it is possible to assemble larger mitochondrial contigs from such mixed sequence data.

To determine the power of our method to detect minor resistant populations, we ran Mykrobe predictor on 27,000 in silico 'mixed infections', created by mixing sequence data from different samples (simulation 2, see Methods section).

The development of specific software to assist the identification of mixed sequencing electropherograms using the sequence data deposited in the public databases must be encouraged in this respect.

We downloaded the processed Methyl-C sequencing data of mixed stage inflorescence samples of 50 Arabidopsis accessions from National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) under accession number GSE43857: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi acc=GSE43857 (Schmitz, Schultz, et al. 2013).

Considering the differences in the same cell lines from different labs, the sequencing data of the mixed gDNA from our HeLa S3 cell line with ~4× sequencing depth was aligned to the reported haplotype (data not shown).

The promise for bioinformatics is that public genome data, mixed with proprietary sequence data, clinical data from previous drug efforts and other stores of information, could unearth clues about possible candidates for future drugs.Unlike banking, bioinformatics offers big challenges for data mining because of the greater complexity of the information and processes.

X.L. analyzed the sequencing data.