scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data
In Silico Biol. 2023 Oct 28. doi: 10.3233/ISB-220252. Online ahead of print.ABSTRACTSingle cell transcriptomics has recently seen a surge in popularity, leading to the need for data analysis pipelines that are reproducible, modular, and interoperable across different systems and institutions.To meet this demand, we introduce scAN1.0, a processing pipeline for analyzing 10X single cell RNA sequencing data. scAN1.0 is built using the Nextflow DSL2 and can be run on most computational systems. The modular design of Nextflow pipelines enables easy integration and evaluation of different blocks for specific analysis steps.We de...
Source: In Silico Biol - November 6, 2023 Category: Biology Authors: Maxime Lepetit Mirela Diana Ilie Marie Chanal Gerald Raverot Philippe Bertolino Christophe Arpin Franck Picard Olivier Gandrillon Source Type: research
scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data
In Silico Biol. 2023 Oct 28. doi: 10.3233/ISB-220252. Online ahead of print.ABSTRACTSingle cell transcriptomics has recently seen a surge in popularity, leading to the need for data analysis pipelines that are reproducible, modular, and interoperable across different systems and institutions.To meet this demand, we introduce scAN1.0, a processing pipeline for analyzing 10X single cell RNA sequencing data. scAN1.0 is built using the Nextflow DSL2 and can be run on most computational systems. The modular design of Nextflow pipelines enables easy integration and evaluation of different blocks for specific analysis steps.We de...
Source: In Silico Biol - November 6, 2023 Category: Biology Authors: Maxime Lepetit Mirela Diana Ilie Marie Chanal Gerald Raverot Philippe Bertolino Christophe Arpin Franck Picard Olivier Gandrillon Source Type: research
scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data
In Silico Biol. 2023 Oct 28. doi: 10.3233/ISB-220252. Online ahead of print.ABSTRACTSingle cell transcriptomics has recently seen a surge in popularity, leading to the need for data analysis pipelines that are reproducible, modular, and interoperable across different systems and institutions.To meet this demand, we introduce scAN1.0, a processing pipeline for analyzing 10X single cell RNA sequencing data. scAN1.0 is built using the Nextflow DSL2 and can be run on most computational systems. The modular design of Nextflow pipelines enables easy integration and evaluation of different blocks for specific analysis steps.We de...
Source: In Silico Biol - November 6, 2023 Category: Biology Authors: Maxime Lepetit Mirela Diana Ilie Marie Chanal Gerald Raverot Philippe Bertolino Christophe Arpin Franck Picard Olivier Gandrillon Source Type: research
scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data
In Silico Biol. 2023 Oct 28. doi: 10.3233/ISB-220252. Online ahead of print.ABSTRACTSingle cell transcriptomics has recently seen a surge in popularity, leading to the need for data analysis pipelines that are reproducible, modular, and interoperable across different systems and institutions.To meet this demand, we introduce scAN1.0, a processing pipeline for analyzing 10X single cell RNA sequencing data. scAN1.0 is built using the Nextflow DSL2 and can be run on most computational systems. The modular design of Nextflow pipelines enables easy integration and evaluation of different blocks for specific analysis steps.We de...
Source: In Silico Biol - November 6, 2023 Category: Biology Authors: Maxime Lepetit Mirela Diana Ilie Marie Chanal Gerald Raverot Philippe Bertolino Christophe Arpin Franck Picard Olivier Gandrillon Source Type: research
scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data
In Silico Biol. 2023 Oct 28. doi: 10.3233/ISB-220252. Online ahead of print.ABSTRACTSingle cell transcriptomics has recently seen a surge in popularity, leading to the need for data analysis pipelines that are reproducible, modular, and interoperable across different systems and institutions.To meet this demand, we introduce scAN1.0, a processing pipeline for analyzing 10X single cell RNA sequencing data. scAN1.0 is built using the Nextflow DSL2 and can be run on most computational systems. The modular design of Nextflow pipelines enables easy integration and evaluation of different blocks for specific analysis steps.We de...
Source: In Silico Biol - November 6, 2023 Category: Biology Authors: Maxime Lepetit Mirela Diana Ilie Marie Chanal Gerald Raverot Philippe Bertolino Christophe Arpin Franck Picard Olivier Gandrillon Source Type: research
scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data
In Silico Biol. 2023 Oct 28. doi: 10.3233/ISB-220252. Online ahead of print.ABSTRACTSingle cell transcriptomics has recently seen a surge in popularity, leading to the need for data analysis pipelines that are reproducible, modular, and interoperable across different systems and institutions.To meet this demand, we introduce scAN1.0, a processing pipeline for analyzing 10X single cell RNA sequencing data. scAN1.0 is built using the Nextflow DSL2 and can be run on most computational systems. The modular design of Nextflow pipelines enables easy integration and evaluation of different blocks for specific analysis steps.We de...
Source: In Silico Biol - November 6, 2023 Category: Biology Authors: Maxime Lepetit Mirela Diana Ilie Marie Chanal Gerald Raverot Philippe Bertolino Christophe Arpin Franck Picard Olivier Gandrillon Source Type: research
scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data
In Silico Biol. 2023 Oct 28. doi: 10.3233/ISB-220252. Online ahead of print.ABSTRACTSingle cell transcriptomics has recently seen a surge in popularity, leading to the need for data analysis pipelines that are reproducible, modular, and interoperable across different systems and institutions.To meet this demand, we introduce scAN1.0, a processing pipeline for analyzing 10X single cell RNA sequencing data. scAN1.0 is built using the Nextflow DSL2 and can be run on most computational systems. The modular design of Nextflow pipelines enables easy integration and evaluation of different blocks for specific analysis steps.We de...
Source: In Silico Biol - November 6, 2023 Category: Biology Authors: Maxime Lepetit Mirela Diana Ilie Marie Chanal Gerald Raverot Philippe Bertolino Christophe Arpin Franck Picard Olivier Gandrillon Source Type: research
scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data
In Silico Biol. 2023 Oct 28. doi: 10.3233/ISB-220252. Online ahead of print.ABSTRACTSingle cell transcriptomics has recently seen a surge in popularity, leading to the need for data analysis pipelines that are reproducible, modular, and interoperable across different systems and institutions.To meet this demand, we introduce scAN1.0, a processing pipeline for analyzing 10X single cell RNA sequencing data. scAN1.0 is built using the Nextflow DSL2 and can be run on most computational systems. The modular design of Nextflow pipelines enables easy integration and evaluation of different blocks for specific analysis steps.We de...
Source: In Silico Biol - November 6, 2023 Category: Biology Authors: Maxime Lepetit Mirela Diana Ilie Marie Chanal Gerald Raverot Philippe Bertolino Christophe Arpin Franck Picard Olivier Gandrillon Source Type: research
Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia
CONCLUSIONS: Our in-silico comparative analysis between the VDAC1 gene and its VDAC1P8 pseudogene, together with experimental data produced in AML cellular models, indicate a specific over-expression of the VDAC1P8 pseudogene in AML, correlated with a downregulation of the parental VDAC1 gene.PMID:37344914 | PMC:PMC10286422 | DOI:10.1186/s40659-023-00446-1 (Source: In Silico Biol)
Source: In Silico Biol - June 21, 2023 Category: Biology Authors: Xena Giada Pappalardo Pierpaolo Risiglione Federica Zinghirino Angela Ostuni Daniela Luciano Faustino Bisaccia Vito De Pinto Francesca Guarino Angela Messina Source Type: research
Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia
CONCLUSIONS: Our in-silico comparative analysis between the VDAC1 gene and its VDAC1P8 pseudogene, together with experimental data produced in AML cellular models, indicate a specific over-expression of the VDAC1P8 pseudogene in AML, correlated with a downregulation of the parental VDAC1 gene.PMID:37344914 | PMC:PMC10286422 | DOI:10.1186/s40659-023-00446-1 (Source: In Silico Biol)
Source: In Silico Biol - June 21, 2023 Category: Biology Authors: Xena Giada Pappalardo Pierpaolo Risiglione Federica Zinghirino Angela Ostuni Daniela Luciano Faustino Bisaccia Vito De Pinto Francesca Guarino Angela Messina Source Type: research
Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia
CONCLUSIONS: Our in-silico comparative analysis between the VDAC1 gene and its VDAC1P8 pseudogene, together with experimental data produced in AML cellular models, indicate a specific over-expression of the VDAC1P8 pseudogene in AML, correlated with a downregulation of the parental VDAC1 gene.PMID:37344914 | PMC:PMC10286422 | DOI:10.1186/s40659-023-00446-1 (Source: In Silico Biol)
Source: In Silico Biol - June 21, 2023 Category: Biology Authors: Xena Giada Pappalardo Pierpaolo Risiglione Federica Zinghirino Angela Ostuni Daniela Luciano Faustino Bisaccia Vito De Pinto Francesca Guarino Angela Messina Source Type: research
Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia
CONCLUSIONS: Our in-silico comparative analysis between the VDAC1 gene and its VDAC1P8 pseudogene, together with experimental data produced in AML cellular models, indicate a specific over-expression of the VDAC1P8 pseudogene in AML, correlated with a downregulation of the parental VDAC1 gene.PMID:37344914 | PMC:PMC10286422 | DOI:10.1186/s40659-023-00446-1 (Source: In Silico Biol)
Source: In Silico Biol - June 21, 2023 Category: Biology Authors: Xena Giada Pappalardo Pierpaolo Risiglione Federica Zinghirino Angela Ostuni Daniela Luciano Faustino Bisaccia Vito De Pinto Francesca Guarino Angela Messina Source Type: research
Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia
CONCLUSIONS: Our in-silico comparative analysis between the VDAC1 gene and its VDAC1P8 pseudogene, together with experimental data produced in AML cellular models, indicate a specific over-expression of the VDAC1P8 pseudogene in AML, correlated with a downregulation of the parental VDAC1 gene.PMID:37344914 | PMC:PMC10286422 | DOI:10.1186/s40659-023-00446-1 (Source: In Silico Biol)
Source: In Silico Biol - June 21, 2023 Category: Biology Authors: Xena Giada Pappalardo Pierpaolo Risiglione Federica Zinghirino Angela Ostuni Daniela Luciano Faustino Bisaccia Vito De Pinto Francesca Guarino Angela Messina Source Type: research
Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia
CONCLUSIONS: Our in-silico comparative analysis between the VDAC1 gene and its VDAC1P8 pseudogene, together with experimental data produced in AML cellular models, indicate a specific over-expression of the VDAC1P8 pseudogene in AML, correlated with a downregulation of the parental VDAC1 gene.PMID:37344914 | PMC:PMC10286422 | DOI:10.1186/s40659-023-00446-1 (Source: In Silico Biol)
Source: In Silico Biol - June 21, 2023 Category: Biology Authors: Xena Giada Pappalardo Pierpaolo Risiglione Federica Zinghirino Angela Ostuni Daniela Luciano Faustino Bisaccia Vito De Pinto Francesca Guarino Angela Messina Source Type: research
Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia
CONCLUSIONS: Our in-silico comparative analysis between the VDAC1 gene and its VDAC1P8 pseudogene, together with experimental data produced in AML cellular models, indicate a specific over-expression of the VDAC1P8 pseudogene in AML, correlated with a downregulation of the parental VDAC1 gene.PMID:37344914 | PMC:PMC10286422 | DOI:10.1186/s40659-023-00446-1 (Source: In Silico Biol)
Source: In Silico Biol - June 21, 2023 Category: Biology Authors: Xena Giada Pappalardo Pierpaolo Risiglione Federica Zinghirino Angela Ostuni Daniela Luciano Faustino Bisaccia Vito De Pinto Francesca Guarino Angela Messina Source Type: research
