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Sequences were imported into a local database in BioEdit, searched using with Lep1 as the query and alignment of exon 1, intron 1, and exon 2 using the MEGA 5.0 sequence alignment application was created as described previously.

Mainly two types of datasets are required in sequence alignment applications.

We recommend the use of individualized diploid genomes over reference sequence alignment for all applications of high-throughput sequencing technology in genetically diverse populations.

Sequence alignment has numerous applications but its role is especially central in evolutionary analyses of molecular sequences.

In sequence alignment, we want to associate residues in a query sequence with homologous residues in a target database sequence.

Sequence alignment was performed by MUSCLE in MEGA750, using default parameters.

I2H and MT require pairs of multiple sequence alignments for their application.

Due to the importance of multiple sequence alignment (MSA) in a variety of biological applications, a number of programs have been developed.

Pairwise sequence alignment is ubiquitous in modern bioinformatics.

Sequence alignment is shown in Additional file 1: Fig. S1d.

This file contains full-length sequence alignment in aligned FASTA format of cortex proteins and selected homologues.