five

Oligonucleotide annotations from the Agilent Songbird Oligonucleotide Array V2: data file 1

收藏
Figshare2018-08-29 更新2026-04-08 收录
下载链接:
https://springernature.figshare.com/articles/Oligonucleotide_annotations_from_the_Agilent_Songbird_Oligonucleotide_Array_V2_data_file_1/6189485/1
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains a single MS Excel .xlsx file, documenting the curation of a large set of oligonucleotide (oligo) annotations from the Agilent Songbird Oligonucleotide Array V2.<br><b>Table 2</b> summarizes the overall effort, and provides a summary breakdown of the sets of oligos analyzed in the study. Summary data include total number of oligos examined, total that passed genomic filters and those removed for further analysis (including reasoning), along with total numbers of valid oligos either analyzed further or not.<br>Oligos in various categories are identified by 'oligo IDs' given by Duke University. Those subject to name verification and/or reannotation effort also have recorded the most recent oligo consensus symbols and names applied in two studies referenced in the related paper, Chromosomal and strand information to which the oligo aligns, and related HGNC ID Gene Description and HGNC Symbol Status, where relevant.<br><b>Background</b>Zebra finches are a major model organism for investigating mechanisms of vocal learning, a trait that enables spoken language in humans. The development of EST/cDNA database collections and microarrays has allowed extensive molecular characterizations of the vocal learning and production circuitry. However, poor curation of these databases can lead to errors in transcriptome and bioinformatics analyses, limiting the impact of these resources. Here we used genomic alignments and synteny analysis for orthology verification to curate and reannotate a large set of oligonucleotides and corresponding ESTs/cDNAs that make-up Agilent microarrays for gene expression analysis in finches.
创建时间:
2018-05-01
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作