The phrase "acid sequences were generated using the" is correct and usable in written English.
It can be used in scientific or technical contexts, particularly in discussions related to genetics, molecular biology, or bioinformatics.
Example: "In our study, acid sequences were generated using the latest sequencing technology to analyze genetic variations."
Alternatives: "nucleotide sequences were produced using the" or "DNA sequences were created using the".
The nucleotide sequences of the As-metabolizing bacterial strains have been deposited in GenBank, and Phylogenetic trees of translated AioA amino acid sequences were generated using the neighbour-joining algorithms following the p-distance model in (Tamura et al. 2007).
Multiple alignments of amino acid sequences were generated using the ClustalX program (version 1.83) [ 41].
Predicted amino acid sequences were generated using the DNA sequence translate tools EXPASY http://www.expasy.ch/tools/dna.html.html
Multiple alignments of the amino acid sequences were generated using Multalin.
Multiple sequence alignments of the cA-SR mRNA and amino acid sequences were generated using MUlitple Sequence Comparison by log-exception (MUSCLE) [ 40] and viewed using JalView 6.7.1 [ 41].
Additionally, permutation tests to compare each of the Homo sapiens cA-SR amino acid sequences were generated using PRSS with 1000 iterations [ 43, 44].
Multiple alignments of amino acid sequences were generated using ClustalX (1.83) and were manually corrected.
A manually adjusted multiple sequence alignment based on encoded amino acid sequences was generated using Se-Al [ 56]such that MP-CP and Rep-RepA regions were satisfactorily aligned.
peruviana amino acid fasta sequences were generated using SAMtools Mpileup and translated into amino acids for sequence alignment against L. (V).
Dotplots of nucleic acid and protein sequences were generated using Gepard [ 55] and then compared.
Species and GenBank accession numbers for sequences used in the analyses are listed in Additional File 2. Nucleotide alignments of chemokine receptor sequences were generated using amino acid sequence alignments and the software program TranAlign [ 59].
