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ctDNA mutation analysis using the SiMSen-seq approach

Mutation analysis in plasma samples with low ctDNA levels using a molecular barcoding technology, i.e. the single target approach SiMSen-seq (Simple, multiplexed, PCR-based barcoding of DNA for sensitive mutation detection using sequencing).

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Whole-genome sequencing cfDNA

European Genome-Phenome Archive c/o European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SD United Kingdom To whom it may concern, This document refers to the study EGAS00001003206 which has been submitted to the European Genome Archive (EGA) for the restricted access by legitimate academic institutions that have agreed to comply with the terms of a Data Access Agreement drafted by Ellen Heitzer. There are a number of steps that a researcher must take to obtain access to this data and the process is overseen by Ellen Heitzer Ellen Heitzer is authorized to approve researchers to have encrypted access to the data submitted to the EGA. Please be advised that Ellen Heitzer (ellen.heitzer@medunigraz.at) is authorized to upload data to the EGA for archiving and distribution as part of your submission process, which will enable approved researchers to have encrypted access to the data. We can confirm that this submission is consistent with the informed consent of the participants of the study or has been granted ethical approval and is in accordance with the applicable laws and regulations.

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
Other

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF00003491426 bam 17.0 MB
EGAF00003491427 bam 25.8 MB
EGAF00003491428 bam 118.5 MB
EGAF00003491429 bam 27.7 MB
EGAF00003491430 bam 28.5 MB
EGAF00003491431 bam 24.0 MB
EGAF00003491432 bam 31.9 MB
EGAF00003491433 bam 26.2 MB
EGAF00003491434 bam 15.1 MB
EGAF00003491435 bam 66.2 MB
EGAF00003491436 bam 108.6 MB
EGAF00003491437 bam 96.0 MB
EGAF00003491438 bam 80.3 MB
EGAF00003491439 bam 197.2 MB
EGAF00003491440 bam 125.4 MB
EGAF00003491441 bam 61.3 MB
EGAF00003491442 bam 58.0 MB
EGAF00003491443 bam 42.8 MB
EGAF00003491444 bam 65.1 MB
EGAF00003491445 bam 68.3 MB
EGAF00003491446 bam 93.8 MB
EGAF00003491447 bam 50.1 MB
EGAF00003491448 bam 65.0 MB
EGAF00003491449 bam 30.7 MB
EGAF00003491450 bam 57.2 MB
EGAF00003491451 bam 61.8 MB
EGAF00003491452 bam 68.0 MB
EGAF00003491453 bam 83.3 MB
EGAF00003491454 bam 128.6 MB
EGAF00003491455 bam 120.0 MB
EGAF00003491456 bam 105.5 MB
EGAF00003491457 bam 53.1 MB
EGAF00003491458 bam 36.2 MB
EGAF00003491459 bam 23.9 MB
EGAF00003491460 bam 37.1 MB
EGAF00003491461 bam 31.1 MB
EGAF00003491462 bam 32.8 MB
EGAF00003491463 bam 25.1 MB
EGAF00003491464 bam 27.1 MB
EGAF00003491465 bam 21.7 MB
EGAF00003491466 bam 26.9 MB
EGAF00003491467 bam 18.6 MB
EGAF00003491468 bam 66.4 MB
EGAF00003491469 bam 27.2 MB
EGAF00003491470 bam 78.5 MB
EGAF00003491471 bam 21.9 MB
EGAF00003491472 bam 48.6 MB
EGAF00003491473 bam 36.9 MB
EGAF00003491474 bam 26.4 MB
EGAF00003491475 bam 42.6 MB
EGAF00003491476 bam 35.8 MB
EGAF00003491477 bam 67.3 MB
EGAF00003491478 bam 31.5 MB
53 Files (3.0 GB)