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REMiner-II: a tool for rapid identification and configuration of repetitive element arrays from large mammalian chromosomes as a single query.


ABSTRACT: Genes occupy ~3% of the human and mouse genomes whereas repetitive elements (REs), whose biologic functions are largely uncharacterized, constitute greater than 50%. A heterogeneous population of RE arrays (arrangement structures) is formed by combinations of various REs in mammalian genomes. In this study, REMiner-II was refined from the original REMiner for a more efficient identification and configuration of RE arrays from large queries (e.g., human chromosomes) using an unbiased self-alignment protocol. Chromosome-wide RE array profiles for the entire sets of human and mouse chromosomes were obtained using REMiner-II on a personal computer. REMiner-II provides 10 adjustable parameters and three data output modes to accommodate different experimental settings and/or goals. Examination of the human and mouse chromosome data using the REMiner-II viewer revealed species-specific libraries of complexly organized RE arrays. In conclusion, REMiner-II is an efficient tool for chromosome-wide identification and characterization of RE arrays from mammalian genomes.

SUBMITTER: Kim WC 

PROVIDER: S-EPMC3428500 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature

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REMiner-II: a tool for rapid identification and configuration of repetitive element arrays from large mammalian chromosomes as a single query.

Kim Woo-Chan WC   Lee Kang-Hoon KH   Shin Kyung-Seop KS   You Ri-Na RN   Lee Young-Kwan YK   Cho Kiho K   Cho Dong-Ho DH  

Genomics 20120628 3


Genes occupy ~3% of the human and mouse genomes whereas repetitive elements (REs), whose biologic functions are largely uncharacterized, constitute greater than 50%. A heterogeneous population of RE arrays (arrangement structures) is formed by combinations of various REs in mammalian genomes. In this study, REMiner-II was refined from the original REMiner for a more efficient identification and configuration of RE arrays from large queries (e.g., human chromosomes) using an unbiased self-alignme  ...[more]

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