共 81 条
Analysis of Annotation and Differential Expression Methods used in RNA-seq Studies in Crustacean Systems
被引:21
作者:

Das, Sunetra
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机构:
Colorado State Univ, Dept Biol, 1878 Campus Delivery, Ft Collins, CO 80523 USA Colorado State Univ, Dept Biol, 1878 Campus Delivery, Ft Collins, CO 80523 USA

Shyamal, Sharmishtha
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机构:
Univ Oklahoma, Dept Biol, Norman, OK 73019 USA Colorado State Univ, Dept Biol, 1878 Campus Delivery, Ft Collins, CO 80523 USA

Durica, David S.
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机构:
Univ Oklahoma, Dept Biol, Norman, OK 73019 USA Colorado State Univ, Dept Biol, 1878 Campus Delivery, Ft Collins, CO 80523 USA
机构:
[1] Colorado State Univ, Dept Biol, 1878 Campus Delivery, Ft Collins, CO 80523 USA
[2] Univ Oklahoma, Dept Biol, Norman, OK 73019 USA
基金:
美国国家科学基金会;
关键词:
CHINESE MITTEN CRAB;
ANALYSIS PROVIDES INSIGHTS;
TRANSCRIPTOME ANALYSIS;
GENE-EXPRESSION;
MOLECULAR-BASIS;
READ ALIGNMENT;
HOX GENES;
SEQUENCE;
GENERATION;
GENOME;
D O I:
10.1093/icb/icw117
中图分类号:
Q95 [动物学];
学科分类号:
071002 ;
摘要:
In the field of crustacean biology, usage of RNA-seq to study gene expression is rapidly growing. Major advances in sequencing technology have contributed to the ability to examine complex patterns of genome activity in a wide range of organisms that are extensively used for comparative physiology, ecology and evolution, environmental monitoring, and commercial aquaculture. Relative to insect and vertebrate model organisms, however, information on the organization of crustacean genomes is virtually nonexistent, making de novo transcriptome assembly, annotation and quantification problematic and challenging. We present here a summary of the methodologies and software analyses employed in 23 recent publications, which describe de novo transcriptome assembly, annotation, and differential gene expression in a variety of crustacean experimental systems. We focus on establishing a series of best practices that will allow for investigators to produce datasets that are understandable, reproducible, and of general utility for related analyses and cross-study comparisons.
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页码:1067 / 1079
页数:13
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