Full-length transcriptome assembly from RNA-Seq data without a reference genome

被引：0

作者：

Manfred G Grabherr

Brian J Haas

Moran Yassour

Joshua Z Levin

Dawn A Thompson

Ido Amit

Xian Adiconis

Lin Fan

Raktima Raychowdhury

Qiandong Zeng

Zehua Chen

Evan Mauceli

Nir Hacohen

Andreas Gnirke

Nicholas Rhind

Federica di Palma

Bruce W Birren

Chad Nusbaum

Kerstin Lindblad-Toh

Nir Friedman

Aviv Regev

机构：

[1] Broad Institute of Massachusetts Institute of Technology and Harvard,Department of Biology

[2] School of Computer Science,Department of Biochemistry and Molecular Pharmacology

[3] Hebrew University,Department of Medical Biochemistry and Microbiology

[4] Massachusetts Institute of Technology,Department of Biology

[5] University of Massachusetts Medical School,undefined

[6] Science for Life Laboratory,undefined

[7] Uppsala University,undefined

[8] Alexander Silberman Institute of Life Sciences,undefined

[9] Hebrew University,undefined

[10] Howard Hughes Medical Institute,undefined

[11] Massachusetts Institute of Technology,undefined

来源：

Nature Biotechnology | 2011年 / 29卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Reconstructing full-length transcripts from high-throughput RNA sequencing data is difficult without a reference genome sequence. Grabherr et al. describe Trinity, an algorithm for assembling full-length transcripts from short reads without first mapping the reads to a genome sequence.

引用

页码：644 / 652

页数：8

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