ENAapplication/xmlftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/016/SRR15669416/SRR15669416_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/010/SRR15669410/SRR15669410_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/008/SRR15669408/SRR15669408_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/018/SRR15669418/SRR15669418_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/015/SRR15669415/SRR15669415_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/004/SRR15669404/SRR15669404_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/003/SRR15669403/SRR15669403_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/007/SRR15669407/SRR15669407_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/006/SRR15669406/SRR15669406_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/009/SRR15669409/SRR15669409_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/008/SRR15669408/SRR15669408_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/003/SRR15669403/SRR15669403_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/011/SRR15669411/SRR15669411_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/012/SRR15669412/SRR15669412_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/006/SRR15669406/SRR15669406_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/005/SRR15669405/SRR15669405_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/014/SRR15669414/SRR15669414_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/018/SRR15669418/SRR15669418_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/015/SRR15669415/SRR15669415_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/017/SRR15669417/SRR15669417_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/012/SRR15669412/SRR15669412_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/014/SRR15669414/SRR15669414_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/004/SRR15669404/SRR15669404_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/016/SRR15669416/SRR15669416_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/009/SRR15669409/SRR15669409_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/010/SRR15669410/SRR15669410_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/017/SRR15669417/SRR15669417_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/013/SRR15669413/SRR15669413_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/005/SRR15669405/SRR15669405_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/013/SRR15669413/SRR15669413_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/011/SRR15669411/SRR15669411_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/007/SRR15669407/SRR15669407_1.fastq.gzprimaryOK200GenomicsAlbert Einstein College of Medicinehttps://www.ebi.ac.uk/ena/browser/view/PRJNA758911Postzygotic somatic mutations have been found associated with human disease, including diseases other than cancer. Most information on somatic mutations has come from studying clonally amplified mutant cells, based on a growth advantage or genetic drift. However, almost all somatic mutations are unique for each cell and the quantitative analysis of such low- abundance mutations in normal tissues remains a major challenge in biology. Here we introduce Single Molecule Mutation Sequencing (SMM-Seq), a novel approach for quantitative identification of point mutations in normal cells and tissues.ENAfalseSingle molecule, quantitative detection of low-abundance somatic mutations by high- throughput sequencing2023-05-172022-10-07PRJNA758911