Martin Dahlö
Bioinformatiker vid Institutionen för cell- och molekylärbiologi; NBIS - National Bioinformatics Infrastructure Sweden
- Mobiltelefon:
- 070-670 79 55
- E-post:
- martin.dahlo@icm.uu.se
- Besöksadress:
- Husargatan 3
75237 Uppsala - Postadress:
- Box 596
75124 Uppsala
Bioinformatiker vid Institutionen för informationsteknologi; UPPMAX, Uppsala Multidisciplinary Centre for Advanced Computational Science
- Mobiltelefon:
- 070-670 79 55
- E-post:
- martin.dahlo@uppmax.uu.se
- Besöksadress:
- Hus 10, Regementsvägen 10
- Postadress:
- Box 337
751 05 Uppsala

Publikationer
Urval av publikationer
Ingår i GigaScience, s. 1-10, 2013
- DOI för Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data
- Ladda ner fulltext (pdf) av Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data
The transcriptome of the adenovirus infected cell
Ingår i Virology, s. 115-128, 2012
Senaste publikationer
Ingår i GigaScience, s. 1-14, 2021
- DOI för Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit
- Ladda ner fulltext (pdf) av Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit
Approaches for Distributing Large Scale Bioinformatic Analyses
2021
MaRe: Processing Big Data with application containers on Apache Spark
Ingår i GigaScience, 2020
- DOI för MaRe: Processing Big Data with application containers on Apache Spark
- Ladda ner fulltext (pdf) av MaRe: Processing Big Data with application containers on Apache Spark
SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines
Ingår i GigaScience, 2019
- DOI för SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines
- Ladda ner fulltext (pdf) av SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines
SciPipe - Turning Scientific Workflows into Computer Programs
Ingår i Computing in science & engineering (Print), s. 109-113, 2019
- DOI för SciPipe - Turning Scientific Workflows into Computer Programs
- Ladda ner fulltext (pdf) av SciPipe - Turning Scientific Workflows into Computer Programs
Alla publikationer
Artiklar i tidskrift
Ingår i GigaScience, s. 1-14, 2021
- DOI för Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit
- Ladda ner fulltext (pdf) av Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit
MaRe: Processing Big Data with application containers on Apache Spark
Ingår i GigaScience, 2020
- DOI för MaRe: Processing Big Data with application containers on Apache Spark
- Ladda ner fulltext (pdf) av MaRe: Processing Big Data with application containers on Apache Spark
SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines
Ingår i GigaScience, 2019
- DOI för SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines
- Ladda ner fulltext (pdf) av SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines
SciPipe - Turning Scientific Workflows into Computer Programs
Ingår i Computing in science & engineering (Print), s. 109-113, 2019
- DOI för SciPipe - Turning Scientific Workflows into Computer Programs
- Ladda ner fulltext (pdf) av SciPipe - Turning Scientific Workflows into Computer Programs
Ingår i GigaScience, 2018
- DOI för Tracking the NGS revolution: managing life science research on shared high-performance computing clusters
- Ladda ner fulltext (pdf) av Tracking the NGS revolution: managing life science research on shared high-performance computing clusters
Ingår i Journal of Hospital Infection, s. 256-261, 2017
Recommendations on e-infrastructures for next-generation sequencing
Ingår i GigaScience, 2016
BioImg.org: A catalog of virtual machine images for the life sciences
Ingår i Bioinformatics and Biology Insights, s. 125-128, 2015
Ingår i GigaScience, s. 1-10, 2013
- DOI för Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data
- Ladda ner fulltext (pdf) av Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data
The transcriptome of the adenovirus infected cell
Ingår i Virology, s. 115-128, 2012