TY  - JA
AU  - Fonseca,N.A.
AU  - Rung,J.
AU  - Brazma,A.
AU  - Marioni,J.C.
TI  - Tools for mapping high-throughput sequencing data
SN  - 1367-4803
PY  - 2012///
CY  - Oxford (United Kingdom)
PB  - Oxford University Press
KW  - AGROVOC
KW  - Computer software
KW  - Data analysis
KW  - Bioinformatics
N1  - Peer review; Open Access
N2  - Motivation: A ubiquitous and fundamental step in high-throughput sequencing analysis is the alignment (mapping) of the generated reads to a reference sequence. To accomplish this task, numerous software tools have been proposed. Determining the mappers that are most suitable for a specific application is not trivial. Results: This survey focuses on classifying mappers through a wide number of characteristics. The goal is to allow practitioners to compare the mappers more easily and find those that are most suitable for their specific problem
UR  - https://doi.org/10.1093/bioinformatics/bts605
T2  - Bioinformatics
DO  - https://doi.org/10.1093/bioinformatics/bts605
ER  -