In the last few years Next Generation Sequencing wiped away expression array technology and RNAseq became the most used technique for expression analysis.
Our group has a strong experience in Bioinformatics training for Biologists and we feel their frustration of being unable to run basic RNAseq analyses without the access to a high-end hardware infrastructure.
Cloud based approaches as BaseSpace or Galaxy provide to Biologists these infrastructures, but with some limitations, e.g. year license cost in case of BaseSpace.
We thought that a stand alone, cheap but powerful machine, would represent an ideal solution for labs with small size RNAseq experiments, e.g. few samples run in a year.
We searched for high-end consumer hardware in the area of game computers, which must guarantee performances that are over the standard requirements for the everyday work of a PC.
We find out that Intel released a bare mini PC (NUC6I7KYK, 1/2 A4 size), which could be equipped with up to two SSD disks and up to 32 GB RAM .
We integrated in this hardware the consolidated RNAseq, miRNAseq and ChIPseq pipelines present in the Reproducible Bioinformatics Project, under the control of a user friendly GUI.
We were positively surprised of the performances of such little computer, e.g. using bcl2fastq for demultiplexing and STAR-RSEM for samples quantification, the NUC6I7KYK can process the 450 million reads generated by a NexSeq 500 in 20 hours. Since a standard run of a NextSeq 500 is approximately 30 hours, this little computer can effectively work as data processing server for a NexSeq 500 machine.
On the basis of these results we packed RNAseq, miRNAseq and ChIPseq pipelines in a cost-effective implementation of a hardware/software solution for computing intensive tasks called SeqBox.
More info on it can be obtained in our recent Application Note on Bioinformatics:
Abstract: Short reads sequencing technology has been used for more than a decade now. However, the analysis of RNAseq and ChIPseq data is still computational demanding and the simple access to raw data does not guarantee results reproducibility between laboratories. To address these two aspects, we developed SeqBox, a cheap, efficient and reproducible RNAseq/ChIPseq hardware/software solution based on NUC6I7KYK mini-PC (an Intel consumer game computer with a fast processor and a high performance SSD disk), and Docker container platform. In SeqBox the analysis of RNAseq and ChIPseq data is supported by a friendly GUI. This allows access to fast and reproducible analysis also to scientists with/without scripting experience.
In the last few years Next Generation Sequencing wiped away expression array technology and RNAseq became the most used technique for expression analysis.
Our group has a strong experience in Bioinformatics training for Biologists and we feel their frustration of being unable to run basic RNAseq analyses without the access to a high-end hardware infrastructure.
Cloud based approaches as BaseSpace or Galaxy provide to Biologists these infrastructures, but with some limitations, e.g. year license cost in case of BaseSpace.
We thought that a stand alone, cheap but powerful machine, would represent an ideal solution for labs with small size RNAseq experiments, e.g. few samples run in a year.
We searched for high-end consumer hardware in the area of game computers, which must guarantee performances that are over the standard requirements for the everyday work of a PC.
We find out that Intel released a bare mini PC (NUC6I7KYK, 1/2 A4 size), which could be equipped with up to two SSD disks and up to 32 GB RAM .
We integrated in this hardware the consolidated RNAseq, miRNAseq and ChIPseq pipelines present in the Reproducible Bioinformatics Project, under the control of a user friendly GUI.
We were positively surprised of the performances of such little computer, e.g. using bcl2fastq for demultiplexing and STAR-RSEM for samples quantification, the NUC6I7KYK can process the 450 million reads generated by a NexSeq 500 in 20 hours. Since a standard run of a NextSeq 500 is approximately 30 hours, this little computer can effectively work as data processing server for a NexSeq 500 machine.
On the basis of these results we packed RNAseq, miRNAseq and ChIPseq pipelines in a cost-effective implementation of a hardware/software solution for computing intensive tasks called SeqBox.
More info on it can be obtained in our recent Application Note on Bioinformatics:
SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer
Abstract: Short reads sequencing technology has been used for more than a decade now. However, the analysis of RNAseq and ChIPseq data is still computational demanding and the simple access to raw data does not guarantee results reproducibility between laboratories. To address these two aspects, we developed SeqBox, a cheap, efficient and reproducible RNAseq/ChIPseq hardware/software solution based on NUC6I7KYK mini-PC (an Intel consumer game computer with a fast processor and a high performance SSD disk), and Docker container platform. In SeqBox the analysis of RNAseq and ChIPseq data is supported by a friendly GUI. This allows access to fast and reproducible analysis also to scientists with/without scripting experience.
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In the last few years Next Generation Sequencing wiped away expression array technology and RNAseq became the most used technique for expression analysis.
Our group has a strong experience in Bioinformatics training for Biologists and we feel their frustration of being unable to run basic RNAseq analyses without the access to a high-end hardware infrastructure.
Cloud based approaches as BaseSpace or Galaxy provide to Biologists these infrastructures, but with some limitations, e.g. year license cost in case of BaseSpace.
We thought that a stand alone, cheap but powerful machine, would represent an ideal solution for labs with small size RNAseq experiments, e.g. few samples run in a year.
We searched for high-end consumer hardware in the area of game computers, which must guarantee performances that are over the standard requirements for the everyday work of a PC.
We find out that Intel released a bare mini PC (NUC6I7KYK, 1/2 A4 size), which could be equipped with up to two SSD disks and up to 32 GB RAM .
We integrated in this hardware the consolidated RNAseq, miRNAseq and ChIPseq pipelines present in the Reproducible Bioinformatics Project, under the control of a user friendly GUI.
We were positively surprised of the performances of such little computer, e.g. using bcl2fastq for demultiplexing and STAR-RSEM for samples quantification, the NUC6I7KYK can process the 450 million reads generated by a NexSeq 500 in 20 hours. Since a standard run of a NextSeq 500 is approximately 30 hours, this little computer can effectively work as data processing server for a NexSeq 500 machine.
On the basis of these results we packed RNAseq, miRNAseq and ChIPseq pipelines in a cost-effective implementation of a hardware/software solution for computing intensive tasks called SeqBox.
More info on it can be obtained in our recent Application Note on Bioinformatics:
SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer
Abstract: Short reads sequencing technology has been used for more than a decade now. However, the analysis of RNAseq and ChIPseq data is still computational demanding and the simple access to raw data does not guarantee results reproducibility between laboratories. To address these two aspects, we developed SeqBox, a cheap, efficient and reproducible RNAseq/ChIPseq hardware/software solution based on NUC6I7KYK mini-PC (an Intel consumer game computer with a fast processor and a high performance SSD disk), and Docker container platform. In SeqBox the analysis of RNAseq and ChIPseq data is supported by a friendly GUI. This allows access to fast and reproducible analysis also to scientists with/without scripting experience.
Related Posts
Heart failure reshapes bone marrow to create inflammation-related immune memory
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Urine test may improve bladder cancer diagnosis and guide treatment decisions
Tracing 700 million years of cell evolution
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
Avoiding a sticky situation: how cells stop messenger RNAs from clumping together
Single Cell Discoveries Acquires TATAA Biocenter to Create an End-to-End Precision Biology CRO
RNA Sequencing identifies new tick-borne virus that causes flu-like illness
Worm’s radical transformation shows metamorphosis can change the functions of cells
HeartBeat.bio and Cubase Bio Partner to Advance 3D Spatial Transcriptomics for Cardiovascular Drug Discovery
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
New Johns Hopkins Study Identifies Pervasive RT-qPCR Artifact in CRISPR Knockdown Studies and How UltraMarathonRT® Solves It
Atlas of the brain’s striatum could guide researchers to new drug treatments
Immune cells offer insights on billion-dollar virus
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