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Analysis of global gene expression patterns provides researchers with valuable insight into the role of differential expression in normal biological and disease processes.
Shorter sequencing runs and more samples per lane save you time and money.
The SOLiD® SAGE™ Kit With Barcoding Adaptor Module provides:
Focusing on the 27 bp 3’ ends of a tag means you can achieve highly accurate quantification of expression profiles with far fewer reads than required for whole-transcriptome analysis, translating to shorter sequencing runs and more samples per lane, saving you time and money.
Digital gene expression analysis is further simplified using the included SOLiD® SAGE™ software package.
High-density microarrays designed to globally assay mRNA expression levels:
For Research Use Only. Not intended for any animal or human therapeutic or diagnostic use.
Your interest will direct you to one of our three RNA application pages; small RNAs (see Small RNA Analysis), novel exons and the splice variants (see Whole Transcriptome Analysis) or known and novel gene expression profiling (where you are now).
The focused 3' tag based gene expression of SOLiD® SAGE™ analysis requires a limited amount of data compared to whole transcriptome analysis. Generally 2-5 M mappable reads per sample are needed. You can make the most of the SOLiD® System's throughput by leveraging the SOLiD® RNA barcodes for this application.
The remainder of this workflow will focus on SAGE™ on the SOLiD® System.
Align sequence tags back to a reference genome and quantify expression levels. The SOLiD™ SAGE™ Analysis Software v1.10 is available as a free download from the SOLiD™ SAGE™ project page or on the SOLiD™ Software Development Community page.
The tools you need for each step in the SAGE data analysis workflow:
Data Analysis Step | Applied Biosystems Software | 3rd-Party Software*** |
---|---|---|
1. Align reads to reference in color space |
| |
2. Generate quality metrics |
| |
3. Generate sequencing and alignment statistics |
| |
4. Count and quanitate tags |
| |
5. Translate color space to base space | ||
6. Visualize in context of annotation |
| |
7. Convert to SRF for publishing |
Your interest will direct you to one of our three RNA application pages; small RNAs (see Small RNA Analysis), novel exons and the splice variants (see Whole Transcriptome Analysis) or known and novel gene expression profiling (where you are now).
The focused 3' tag based gene expression of SOLiD® SAGE™ analysis requires a limited amount of data compared to whole transcriptome analysis. Generally 2-5 M mappable reads per sample are needed. You can make the most of the SOLiD® System's throughput by leveraging the SOLiD® RNA barcodes for this application.
The remainder of this workflow will focus on SAGE™ on the SOLiD® System.
Align sequence tags back to a reference genome and quantify expression levels. The SOLiD™ SAGE™ Analysis Software v1.10 is available as a free download from the SOLiD™ SAGE™ project page or on the SOLiD™ Software Development Community page.
The tools you need for each step in the SAGE data analysis workflow:
Data Analysis Step | Applied Biosystems Software | 3rd-Party Software*** |
---|---|---|
1. Align reads to reference in color space |
| |
2. Generate quality metrics |
| |
3. Generate sequencing and alignment statistics |
| |
4. Count and quanitate tags |
| |
5. Translate color space to base space | ||
6. Visualize in context of annotation |
| |
7. Convert to SRF for publishing |
Publications & Literature
Your interest will direct you to one of our three RNA application pages; small RNAs (see Small RNA Analysis), novel exons and the splice variants (see Whole Transcriptome Analysis) or known and novel gene expression profiling (where you are now).
The focused 3' tag based gene expression of SOLiD® SAGE™ analysis requires a limited amount of data compared to whole transcriptome analysis. Generally 2-5 M mappable reads per sample are needed. You can make the most of the SOLiD® System's throughput by leveraging the SOLiD® RNA barcodes for this application.
The remainder of this workflow will focus on SAGE™ on the SOLiD® System.
Align sequence tags back to a reference genome and quantify expression levels. The SOLiD™ SAGE™ Analysis Software v1.10 is available as a free download from the SOLiD™ SAGE™ project page or on the SOLiD™ Software Development Community page.
The tools you need for each step in the SAGE data analysis workflow:
Data Analysis Step | Applied Biosystems Software | 3rd-Party Software*** |
---|---|---|
1. Align reads to reference in color space |
| |
2. Generate quality metrics |
| |
3. Generate sequencing and alignment statistics |
| |
4. Count and quanitate tags |
| |
5. Translate color space to base space | ||
6. Visualize in context of annotation |
| |
7. Convert to SRF for publishing |
Your interest will direct you to one of our three RNA application pages; small RNAs (see Small RNA Analysis), novel exons and the splice variants (see Whole Transcriptome Analysis) or known and novel gene expression profiling (where you are now).
The focused 3' tag based gene expression of SOLiD® SAGE™ analysis requires a limited amount of data compared to whole transcriptome analysis. Generally 2-5 M mappable reads per sample are needed. You can make the most of the SOLiD® System's throughput by leveraging the SOLiD® RNA barcodes for this application.
The remainder of this workflow will focus on SAGE™ on the SOLiD® System.
Align sequence tags back to a reference genome and quantify expression levels. The SOLiD™ SAGE™ Analysis Software v1.10 is available as a free download from the SOLiD™ SAGE™ project page or on the SOLiD™ Software Development Community page.
The tools you need for each step in the SAGE data analysis workflow:
Data Analysis Step | Applied Biosystems Software | 3rd-Party Software*** |
---|---|---|
1. Align reads to reference in color space |
| |
2. Generate quality metrics |
| |
3. Generate sequencing and alignment statistics |
| |
4. Count and quanitate tags |
| |
5. Translate color space to base space | ||
6. Visualize in context of annotation |
| |
7. Convert to SRF for publishing |
Publications & Literature