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Parse Biosciences parse biosciences split pipe pipeline
Parse Biosciences Split Pipe Pipeline, supplied by Parse Biosciences, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/split+pipe/pipe+pipeline+split/pmc13063377-217-15-20
Average 86 stars, based on 1 article reviews
parse biosciences split pipe pipeline - by Bioz Stars, 2026-11
86/100 stars

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Related Articles

Single Cell:

Article Title: StrataChip: a microphysiological system capturing dynamic keratinocyte fate and mechanical transitions during human epidermal morphogenesis
Article Snippet: Single-cell suspension was fixed as described in the Parse Biosciences “Low Input Cell and Nuclei Fixation User Manual v1.2” and stored at −80 °C until barconding. .. Single-cell libraries were prepared as described in the Parse Biosciences “Evercode WT v3 User Manual” with the Evercode Whole Transcriptome WT platform. ..

Article Title: Dissecting placental host-pathogen interactions: Rift Valley fever virus infection in early human trophoblast stem cells
Article Snippet: .. 592 Analysis of single-cell RNA-seq data 593 The split-pipe v.1.3.1 pipeline (Parse Biosciences), STAR 2.7.11b 59 was used to 594 align FASTQ files to a combined reference genome (Homo_sapiens. ..

other:

Article Title: Protein-state dysregulation and sex-specific neurodevelopmental signatures in schizophrenia forebrain organoids
Article Snippet: Primary data processing was performed using bcl2fastq (v2.20.0, Illumina) to generate FASTQ files, followed by split-pipe (v1.6.1, Parse Biosciences) for read alignment and count matrix generation.

RNA Sequencing:

Article Title: Dissecting placental host-pathogen interactions: Rift Valley fever virus infection in early human trophoblast stem cells
Article Snippet: .. 592 Analysis of single-cell RNA-seq data 593 The split-pipe v.1.3.1 pipeline (Parse Biosciences), STAR 2.7.11b 59 was used to 594 align FASTQ files to a combined reference genome (Homo_sapiens. ..

Article Title: Myelin-Free Nuclei Isolation from Mouse Hippocampus and Cerebellum for snRNA-Seq with Benchtop Gradient Centrifugation
Article Snippet: .. Libraries were generated using either the EvercodeTM WT v3 single-cell/single-nucleus RNA-seq workflow (Parse Biosciences; ECWT3300; referred to here as PARSE WT), a split-pool combinatorial barcoding–based platform, or the Chromium GEM-X Flex Gene Expression workflow (10x Genomics; referred to here as 10x Flex), a probe-based fixed-RNA whole-transcriptome workflow ( – ). ..

Sequencing:

Article Title: Distinct functions of PBRM1 and BAP1 reconcile the course of kidney cancer evolution and disease progression
Article Snippet: The quality and fragment size distribution of the final library were assessed using the TapeStation 4200, and libraries were sequenced at an average depth of 60,000 PE100 reads per cell on the Illumina NovaSeq 6000 at the Genomics Facility at the Francis Crick Institute. .. Data processing Raw FASTQ files were processed using the Parse Bioscience pipeline, split-pipe (v1.2.1), with default parameters to align sequencing reads to the GRCh38 human genome, demultiplex samples, and quantify gene expression as a count matrix. ..

Gene Expression:

Article Title: Distinct functions of PBRM1 and BAP1 reconcile the course of kidney cancer evolution and disease progression
Article Snippet: The quality and fragment size distribution of the final library were assessed using the TapeStation 4200, and libraries were sequenced at an average depth of 60,000 PE100 reads per cell on the Illumina NovaSeq 6000 at the Genomics Facility at the Francis Crick Institute. .. Data processing Raw FASTQ files were processed using the Parse Bioscience pipeline, split-pipe (v1.2.1), with default parameters to align sequencing reads to the GRCh38 human genome, demultiplex samples, and quantify gene expression as a count matrix. ..

Article Title: Myelin-Free Nuclei Isolation from Mouse Hippocampus and Cerebellum for snRNA-Seq with Benchtop Gradient Centrifugation
Article Snippet: .. Libraries were generated using either the EvercodeTM WT v3 single-cell/single-nucleus RNA-seq workflow (Parse Biosciences; ECWT3300; referred to here as PARSE WT), a split-pool combinatorial barcoding–based platform, or the Chromium GEM-X Flex Gene Expression workflow (10x Genomics; referred to here as 10x Flex), a probe-based fixed-RNA whole-transcriptome workflow ( – ). ..

Generated:

Article Title: Myelin-Free Nuclei Isolation from Mouse Hippocampus and Cerebellum for snRNA-Seq with Benchtop Gradient Centrifugation
Article Snippet: .. Libraries were generated using either the EvercodeTM WT v3 single-cell/single-nucleus RNA-seq workflow (Parse Biosciences; ECWT3300; referred to here as PARSE WT), a split-pool combinatorial barcoding–based platform, or the Chromium GEM-X Flex Gene Expression workflow (10x Genomics; referred to here as 10x Flex), a probe-based fixed-RNA whole-transcriptome workflow ( – ). ..



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(A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
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(A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
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(A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
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https://www.bioz.com/product/split+pipe/pipe+pipeline+split/pm41912267-519-11-16
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(A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
Parse Biosciences Split Pipe Pipeline, supplied by Parse Biosciences, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/split+pipe/pipe+pipeline+split/pmc13063377-217-15-20
Average 86 stars, based on 1 article reviews
parse biosciences split pipe pipeline - by Bioz Stars, 2026-11
86/100 stars
  Buy from Supplier

86
Parse Biosciences split pipe v1 5 1
(A) <t>Workflow</t> schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.
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Image Search Results


(A) Workflow schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.

Journal: bioRxiv

Article Title: High throughput single-cell RNA sequencing of intact adult cardiomyocytes and non-myocytes using a split-pool approach

doi: 10.64898/2026.04.28.721288

Figure Lengend Snippet: (A) Workflow schematic: CMs and non-CMs are processed in separate libraries; CM libraries are sequenced at increased depth. (B) Barcode-rank plot for a representative CM-only sample. (C–D) Sequencing-saturation curves for transcripts (C) and genes (D) in CM-only libraries; each curve represents one sublibrary. (E) Quality control (QC) summaries for CMs: transcripts per cell (left), genes per cell (middle), and mitochondrial RNA fraction (mt%; right). (F) Feature plots of canonical markers in the CM library—CMs ( Tnnt2, Myh6, Ryr2 ) and endothelial cells ( Cdh5, Pecam1 ), together with Seurat cluster annotations. Red circles highlight cluster 10, a small contaminating endothelial cell population.

Article Snippet: Upstream processing was performed on AWS using the Parse Biosciences split-pipe workflow with default parameters.

Techniques: Sequencing, Control