Version 1
: Received: 6 January 2021 / Approved: 8 January 2021 / Online: 8 January 2021 (10:30:03 CET)
How to cite:
Ali, G.; Ashfaq, K. Study of Essential Sequence Analysis Tools in Bioinformatics : A Brief Overview. Preprints2021, 2021010135. https://doi.org/10.20944/preprints202101.0135.v1.
Ali, G.; Ashfaq, K. Study of Essential Sequence Analysis Tools in Bioinformatics : A Brief Overview. Preprints 2021, 2021010135. https://doi.org/10.20944/preprints202101.0135.v1.
Cite as:
Ali, G.; Ashfaq, K. Study of Essential Sequence Analysis Tools in Bioinformatics : A Brief Overview. Preprints2021, 2021010135. https://doi.org/10.20944/preprints202101.0135.v1.
Ali, G.; Ashfaq, K. Study of Essential Sequence Analysis Tools in Bioinformatics : A Brief Overview. Preprints 2021, 2021010135. https://doi.org/10.20944/preprints202101.0135.v1.
Abstract
Sequence analysis program is outlined that analyzes and investigates homology between various nucleic acid or protein sequence. The dot matrix technique compares the sequences and the consensus sequence is obtained by superimposing on each other all the dot matrices. Local Alignment and Global Alignment both sequence from start to end is the best possible alignment over the entire duration between the two sequences. This method is more important to align with two closely related sequences roughly the same length. This method may not able to generate optimal results for divergent sequences and variable length sequence because between the two sequences it does not recognize very similar local region.
Keywords
Global Alignment; Local Alignment; Heuristic Algorithm; Exhaustive Algorithm
Subject
LIFE SCIENCES, Biochemistry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
