The phrase "alignment has become" is correct and usable in written English.
It can be used when discussing a change or evolution in the state of alignment in a particular context, such as business, technology, or personal goals.
Example: "In recent years, alignment has become a critical factor in the success of our projects, ensuring that all team members are working towards the same objectives."
Alternatives: "alignment has evolved" or "alignment has transformed".
Whole-genome alignment has become instrumental for studying genome evolution and genetic diversity (Batzoglou, 2005; Dewey and Pachter, 2006).
Sequence alignment has become an indispensable tool in modern molecular biology research, as it provides an effective and intuitive way of comparing and analyzing biological sequences.
Sequence alignment has become an indispensable tool in modern molecular biology research, and probabilistic sequence alignment models have been shown to provide an effective framework for building accurate sequence alignment tools.
New methods for genome alignment have become available since the time of this work.
Recently, a number of web servers for local structural alignment have become available.
It also suggests that the alignments have become more compact, since these superfamilies have "increased in their rigidity" with the addition of members and improvement of alignment.
Business-IT alignment nowadays has become crucial, with the expansion of service-based information systems and the need to collaborate with external partners.
Motivation: In the analysis of homologous sequences, computation of multiple sequence alignments (MSAs) has become a bottleneck.
Given the importance of dataset quality, the use of practical and accurate software dedicated to alignment trimming task has become a real need.
Two categories of methodology are used for such phylogeny building, distinguished by whether sequence-alignment is applied or not, and the alignment-free methodology has become more popular [ 1].
Furthermore, when considering whole genomes, the global alignment of large sequences has become a prohibitive task even for supercomputers, hence simply infeasible.
