The phrase "alignment of microarray" is correct and usable in written English.
It can be used in the context of discussing the process of arranging or calibrating microarray technology for experiments or analyses in genetics or molecular biology.
Example: "The alignment of microarray data is crucial for accurate gene expression analysis."
Alternatives: "calibration of microarray" or "arrangement of microarray".
BLAST alignment of microarray probes (using criteria as described above) was used to identify which of the 4544 probes are hybridizing to genes shared among sequenced S. aureus genomes (COL, N315, MW2, Mu50, MRSA252 and MSSA476).
We have created a rapid and powerful approach for the alignment of microarray gene expression profiles (AGEP) from test samples with those contained in a large annotated public reference database and demonstrate here how this can facilitate interpretation of microarray data from individual samples.
Blast alignment of the microarray oligonucleotide corresponding to this gene allowed us to design primers that recognized a family of mouse ESTs that encompass this sequence (Table 6).
The shortcomings of such devices include the following: incompatibility with microarray scanners [19], small heating zones [19], [20], limited temperature control [20], complex fabrication [19], and difficult alignment of DNA microarrays [19], [20].
RNAseq may offer advantages over microarrays in that unannotated, or poorly annotated, transcripts can be defined and corrected using the sequence alignment, which is more data-rich than the results of microarray analysis.
Second, we provide a methodology, hierarchical metagrid alignment, to allow reliable and efficient batch processing for a set of microarray images.
In the present study alignment of probe sequences of the Affymetrix microarray HG-U133A with Ensembl transcript sequences was performed to define transcript-specific probe sets.
Methods commonly taught include sequence analysis and alignment, DNA microarray data analysis, and the use of protein structure prediction and classification tools.
However, the bottleneck is the construction of an expression matrix of TDFs (rows) per time points (columns) of HiCEP electrophoretic data due to the problem of imperfect alignment, though most microarray analysis uses such matrices as given data (e.g., [ 17, 18]).
For example, assignment of evolutionarily constrained or flexible disorder requires automatic alignment of amino acid and disorder sequences, while gene expression subtypes can be derived from the wealth of microarray and RNA sequencing data.
Figure 1 The rationale of QDs-based microarray Figure 2 Schematic representation of microarray.
