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2016 ; 5
(ä): 26
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Recommendations on e-infrastructures for next-generation sequencing
#MMPMID27267963
Spjuth O
; Bongcam-Rudloff E
; Dahlberg J
; Dahlö M
; Kallio A
; Pireddu L
; Vezzi F
; Korpelainen E
Gigascience
2016[Jun]; 5
(ä): 26
PMID27267963
show ga
With ever-increasing amounts of data being produced by next-generation sequencing
(NGS) experiments, the requirements placed on supporting e-infrastructures have
grown. In this work, we provide recommendations based on the collective
experiences from participants in the EU COST Action SeqAhead for the tasks of
data preprocessing, upstream processing, data delivery, and downstream analysis,
as well as long-term storage and archiving. We cover demands on computational and
storage resources, networks, software stacks, automation of analysis, education,
and also discuss emerging trends in the field. E-infrastructures for NGS require
substantial effort to set up and maintain over time, and with sequencing
technologies and best practices for data analysis evolving rapidly it is
important to prioritize both processing capacity and e-infrastructure flexibility
when making strategic decisions to support the data analysis demands of tomorrow.
Due to increasingly demanding technical requirements we recommend that
e-infrastructure development and maintenance be handled by a professional service
unit, be it internal or external to the organization, and emphasis should be
placed on collaboration between researchers and IT professionals.