Estimating transcriptome complexities across eukaryotes
Abstract Background Genomic complexity is a growing field of evolution, with case studies for comparative evolutionary analyses in model and emerging non-model systems. Understanding complexity and the functional components of the genome is an untapped wealth of knowledge ripe for exploration. With...
Main Authors: | James E. Titus-McQuillan, Adalena V. Nanni, Lauren M. McIntyre, Rebekah L. Rogers |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-05-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12864-023-09326-0 |
Similar Items
-
Comparative physical genome mapping of malaria vectors Anopheles sinensis and Anopheles gambiae
by: Yun Wei, et al.
Published: (2017-06-01) -
QuartetS-DB: a large-scale orthology database for prokaryotes and eukaryotes inferred by evolutionary evidence
by: Yu Chenggang, et al.
Published: (2012-06-01) -
ExOrthist: a tool to infer exon orthologies at any evolutionary distance
by: Yamile Márquez, et al.
Published: (2021-08-01) -
Comprehensive Transcriptome Analysis Reveals Insights into Phylogeny and Positively Selected Genes of <i>Sillago</i> Species
by: Fangrui Lou, et al.
Published: (2020-04-01) -
Comparative analysis of single-cell transcriptomics in human and Zebrafish oocytes
by: Handan Can, et al.
Published: (2020-07-01)