| 1. |
- Altmae, Signe, et al.
(författare)
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Endometrial transcriptome analysis indicates superiority of natural over artificial cycles in recurrent implantation failure patients undergoing frozen embryo transfer
- 2016
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Ingår i: Reproductive BioMedicine Online. - : Elsevier BV. - 1472-6483 .- 1472-6491. ; 32:6, s. 597-613
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Tidskriftsartikel (refereegranskat)abstract
- Little consensus has been reached on the best protocol for endometrial preparation for frozen embryo transfer (FET). It is not known how, and to what extent, hormone supplementation in artificial cycles influences endometrial preparation for embryo implantation at a molecular level, especially in patients who have experienced recurrent implantation failure. Transcriptome analysis of 15 endometrial biopsy samples at the time of embryo implantation was used to compare two different endometrial preparation protocols, natural versus artificial cycles, for FET in women who have experienced recurrent implantation failure compared with fertile women. IPA and DAVID were used for functional analyses of differentially expressed genes. The TRANSFAC database was used to identify oestrogen and progesterone response elements upstream of differentially expressed genes. Cluster analysis demonstrated that natural cycles are associated with a better endometrial receptivity transcriptome than artificial cycles. Artificial cycles seemed to have a stronger negative effect on expression of genes and pathways crucial for endometrial receptivity, including ESR2, FSHR, LEP, and several interleukins and matrix metalloproteinases. Significant overrepresentation of oestrogen response elements among the genes with deteriorated expression in artificial cycles (P < 0.001) was found; progesterone response elements predominated in genes with amended expression with artificial cycles (P = 0.0052).
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| 2. |
- Dahlö, Martin
(författare)
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Approaches for Distributing Large Scale Bioinformatic Analyses
- 2021
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Ever since high-throughput DNA sequencing became economically feasible, the amount of biological data has grown exponentially. This has been one of the biggest drivers in introducing high-performance computing (HPC) to the field of biology. Unlike physics and mathematics, biology education has not had a strong focus on programming or algorithmic development. This has forced many biology researchers to start learning a whole new skill set, and introduced new challenges for those managing the HPC clusters.The aim of this thesis is to investigate the problems that arise when novice users are using an HPC cluster for bioinformatics data analysis, and exploring approaches for how these can be mitigated. In paper 1 we quantify and visualise these problems and contrast them with the more computer experienced user groups already using the HPC cluster. In paper 2 we introduce a new workflow system (SciPipe), implemented as a Go library, as a way to organise and manage analysis steps. Paper 3 is aimed at cloud computing and how containerised tools can be used to run workflows without having to worry about software installations. In paper 4 we demonstrate a fully automated cloud-based system for image-based cell profiling. Starting with a robotic arm in a lab, it covers all the steps from cell culture and microscope to having the cell profiling results stored in a database and visualised in a web interface.
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| 3. |
- Gurwitz, Kim T., et al.
(författare)
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A framework to assess the quality and impact of bioinformatics training across ELIXIR
- 2020
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Ingår i: PloS Computational Biology. - : Public Library of Science (PLoS). - 1553-734X .- 1553-7358. ; 16:7
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Tidskriftsartikel (refereegranskat)abstract
- ELIXIR is a pan-European intergovernmental organisation for life science that aims to coordinate bioinformatics resources in a single infrastructure across Europe; bioinformatics training is central to its strategy, which aims to develop a training community that spans all ELIXIR member states. In an evidence-based approach for strengthening bioinformatics training programmes across Europe, the ELIXIR Training Platform, led by the ELIXIR EXCELERATE Quality and Impact Assessment Subtask in collaboration with the ELIXIR Training Coordinators Group, has implemented an assessment strategy to measure quality and impact of its entire training portfolio. Here, we present ELIXIR’s framework for assessing training quality and impact, which includes the following: specifying assessment aims, determining what data to collect in order to address these aims, and our strategy for centralised data collection to allow for ELIXIR-wide analyses. In addition, we present an overview of the ELIXIR training data collected over the past 4 years. We highlight the importance of a coordinated and consistent data collection approach and the relevance of defining specific metrics and answer scales for consortium-wide analyses as well as for comparison of data across iterations of the same course.
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| 4. |
- Ison, Jon, et al.
(författare)
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The bio.tools registry of software tools and data resources for the life sciences
- 2019
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Ingår i: Genome Biology. - : BMC. - 1465-6906 .- 1474-760X. ; 20:1
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Tidskriftsartikel (refereegranskat)abstract
- Bioinformaticians and biologists rely increasingly upon workflows for the flexible utilization of the many life science tools that are needed to optimally convert data into knowledge. We outline a pan-European enterprise to provide a catalogue () of tools and databases that can be used in these workflows. bio.tools not only lists where to find resources, but also provides a wide variety of practical information.
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| 5. |
- Segal, Eran, et al.
(författare)
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Building an international consortium for tracking coronavirus health status
- 2020
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Ingår i: Nature Medicine. - : Springer Science and Business Media LLC. - 1078-8956 .- 1546-170X. ; 26:8, s. 1161-1165
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- We call upon the research community to standardize efforts to use daily self-reported data about COVID-19 symptoms in the response to the pandemic and to form a collaborative consortium to maximize global gain while protecting participant privacy.
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