RNA-Seq

Each application takes biological samples through experimental design, sample preparation, sequencing, and application specific analysis, allowing us to engineer processes and deliverables that provide unparalleled insight into researchers' data.

RNA-Seq

Cofactor Genomics's robust RNA-seq pipeline provides researchers with the ability to evaluate differential gene expression in their chosen organism. ActiveSite, our intuitive web-based user-interface, enables researchers to examine, sort, and discover patterns in their data that may not be visible when working with text files or in classical expression applications. Our Project Scientists ensure that experiments survey transcriptomes at the appropriate depth. Whether a wide-overview or a deep interrogation, researchers will have confidence in the results we provide.

RNA-Seq

Deliverables

  • FASTQ formatted Sequence Reads
  • Annotations defining clusters of transcription
  • Normalized expression values across all samples for each locus
Log2 Expression Ratios

Log2 Expression Ratios

Cofactor compares every sample against every other sample in a pair-wise fashion. This approach helps delineate and tier data outputs based on comparisons between replicate samples.

FASTA of the aligned regions

FASTA of the aligned regions

Cofactor delivers the FASTA sequence of every cluster of read alignments. This deliverable will closely represent the transcriptome assembly for the given sample.

Saturation Curves

Saturation Curves

Cofactor's saturation analysis offers the ability to determine, during the experimental design, the appropriate number of reads to generate for each sample. Using a proprietary saturation pipeline, Cofactor can graph the interaction of reads totals and unique transcript counts. When a transcriptome pool is sequenced to saturation, the resulting saturation curve will be asymptotic.  This unique analysis allows us to determine the point where the most data is generated per dollar spent.

Assembly of non-mapping reads

Assembly of non-mapping reads

Reads that do not align to the reference assembly may be important or interesting in the context of an RNA-seq experiment. We are able to assemble just the unaligned reads which may provide further clues to the etiology of a condition or contamination in a sample.

Access to data in Cofactor's ActiveSite Expression Viewer

Access to data in Cofactor's ActiveSite Expression Viewer

Cofactor's ActiveSite Viewer is a web portal that hosts all of the information associated with a project. ActiveSite enables clients to examine, sort, and discover patterns in their data that may not be visible when working with just text files or in classical expression applications. Using the viewer, clients are also able to download the background files used to build their analysis.

Videos

RNA-seq Webinar

Video of our RNA-seq webinar, including a demo of our RNA-seq ActiveSite