The application of massively parallel sequencing technologies in diagnostics

Dahl, A.; Mertes, F.; Timmermann, B.; Lehrach, H.

doi:10.3410/B2-59

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

The application of massively parallel sequencing technologies in diagnostics

MPS-Authors

/persons/resource/persons50130

Dahl, A.
Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society;

/persons/resource/persons50430

Mertes, F.
Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society;

/persons/resource/persons50598

Timmermann, B.
Sequencing, Max Planck Institute for Molecular Genetics, Max Planck Society;

/persons/resource/persons50409

Lehrach, H.
Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

Dahl.pdf
(Any fulltext), 104KB

Supplementary Material (public)

There is no public supplementary material available

Citation

Dahl, A., Mertes, F., Timmermann, B., & Lehrach, H. (2010). The application of massively parallel sequencing technologies in diagnostics. F1000 Biology Reports, 2, 2:59-2:59. doi:10.3410/B2-59.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-7A92-5

Abstract

Massively parallel sequencing (MPS) is rapidly evolving and is starting to be utilized by the clinical field as well as diagnostics. We describe major recent advances that have come about as a result of the application of MPS in the biomedical field and the first approaches in medical genetics that have made use of MPS. Without any doubt, MPS has proven to be a very powerful technique. To unravel the capabilities of MPS for patient care, the most important aspect for the acceptance of MPS within clinics and diagnostics is to guarantee that the large amount of data undergoes vitally important analyses and interpretation and is securely managed.