The phrase "alignment was developed" is correct and usable in written English.
It can be used when discussing the creation or establishment of a certain alignment in various contexts, such as business, technology, or personal development.
Example: "The alignment was developed to ensure that all team members are working towards the same goals and objectives."
Alternatives: "alignment was established" or "alignment was created."
A novel procedure for video-frame alignment was developed that exploits the relatively high accuracy of aligning 16-frame average particles, as well as the prior knowledge that particles are unlikely to undergo very large rotations or translations during the 1-s exposure.
A comparative molecular similarity indices analysis (COMSIA) model as the foundation of the maximum common substructure alignment was developed.
The alignment was developed using the Combo score, which combines the Tanimoto shape score with the color score that added the score for the appropriate overlap of groups with similar properties (donor, acceptor, hydrophobe, cation, anion, and ring) [http://docs.eyesopen.com/rocs/shape_theory.html] defined by SMARTS.
To facilitate the global search of reliable RNA consensus structures from genome sequence databases, a computational tool known as INFERNAL (INFERence of RNA Alignment) was developed which scores combination of both sequence and structure consensus.
An effective and flexible method for the generation of computational samples for mesoscopic modeling of anisotropic networks of carbon nanotube (CNT) bundles with various degrees of CNT alignment is developed and applied for investigation of structural self-organization of nanotubes into vertically aligned CNT forests and fibers.
For example, for non-coding sequences of plastid genomes special rules of alignment were developed and this increased resolution and reliability of phylogenetic trees inferred from these sequences [ 47, 48].
Given the importance of genome comparison in obtaining information about these types of data, a number of heuristics algorithms aimed at constructing biologically meaningful alignments were developed [3, 18, 29, 31, 47].
To address this, two alternative analytical approaches, consensus and individual secondary structure based alignments were developed.
To identify TFBSs in the long non-coding regions of higher eukaryotes, several methods based on multiple genome alignments were developed [ 24, 25].
In this study, automatic alignment algorithm was developed for wafer dicing.
