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DOC_ID : T11-0001  Doc_ID: A08-0001GRCh38en104Star275aEditor: MiraReviewer: hsujc Description RSEM is a software package for estimating gene and isoform expression levels from RNA-Seq data. The RSEM package provides an user-friendly interface, supports threads for parallel computation of the EM algorithm, single-end and paired-end read data, quality scores, variable-length reads and RSPD estimation. In addition, it provides posterior mean and 95% credibility interval estimates for expression levels. Build RSEM references using RefSeq, Ensembl, or GENCODE annotationsRefSeq and Ensembl are two frequently used annotations. For human and mouse, GENCODE annotaions are also available. Here, we show how to build RSEM references using Ensembl […]

Genome Reference:GRCh38en104Star2.7.5a


Doc_ID: A08-0001GRCh38en102Star275a Editor: Mira Reviewer: Anita Description RSEM is a software package for estimating gene and isoform expression levels from RNA-Seq data. The RSEM package provides an user-friendly interface, supports threads for parallel computation of the EM algorithm, single-end and paired-end read data, quality scores, variable-length reads and RSPD estimation. In addition, it provides posterior mean and 95% credibility interval estimates for expression levels. Build RSEM references using RefSeq, Ensembl, or GENCODE annotationsRefSeq and Ensembl are two frequently used annotations. For human and mouse, GENCODE annotaions are also available. Here, we show how to build RSEM references using Ensembl annotation. […]

Genome Reference:GRCh38en102Star2.7.5a


Doc_ID: A08-0001GRCh38en94Star275a Editor : Anita Reviewer : Mira Description RSEM is a software package for estimating gene and isoform expression levels from RNA-Seq data. The RSEM package provides an user-friendly interface, supports threads for parallel computation of the EM algorithm, single-end and paired-end read data, quality scores, variable-length reads and RSPD estimation. In addition, it provides posterior mean and 95% credibility interval estimates for expression levels. Build RSEM references using RefSeq, Ensembl, or GENCODE annotationsRefSeq and Ensembl are two frequently used annotations. For human and mouse, GENCODE annotaions are also available. Here, we show how to build RSEM references using […]

Genome Reference:GRCh38en94Star2.7.5a