Bioinformatics sequence and genome analysis
What is a sequence in bioinformatics?
A biological sequence is a single, continuous molecule of nucleic acid or protein.
It can be thought of as a multiple inheritance class hierarchy.
One hierarchy is that of the underlying molecule type: DNA, RNA, or protein..
What is genome sequence analysis in bioinformatics?
In bioinformatics, sequence analysis is the process of subjecting a DNA, RNA or peptide sequence to any of a wide range of analytical methods to understand its features, function, structure, or evolution.
Methodologies used include sequence alignment, searches against biological databases, and others..
What is genome sequencing in bioinformatics?
Genome sequencing refers to sequencing the entire genome of an organism. • Many high throughput sequencing and data handling technologies have been developed. • Major genome sequencing methods are the clone-by-clone method and the whole genome shotgun sequencing..
Who created the first bioinformatics database?
Dayhoff is known as the founder of bioinformatics.
This she did by pioneering the application of mathematics and computational techniques to the sequencing of proteins and nucleic acids and establishing the first publicly available database for research in the area..
- A biological sequence is a single, continuous molecule of nucleic acid or protein.
It can be thought of as a multiple inheritance class hierarchy.
One hierarchy is that of the underlying molecule type: DNA, RNA, or protein. - Bioinformatics tools have been used to analyze genomic data from thousands of individuals with various diseases and disorders, and to identify genetic variations that may be associated with an increased risk of those conditions.
- Sequence comparison of DNA can allow us to compare the differences at gene level across different organisms and species.
Comparative genomics is a branch of science that uses bioinformatics techniques extensively to trace the genes across multiple species and study their similarities and differences. - The field of computer science called bioinformatics is used to analyze whole-genome sequencing data.
This involves algorithm, pipeline and software development, and analysis, transfer and storage/database development of genomics data. - You then use bioinformatic techniques to assemble a consensus sequence of a whole chromosomes.
The bioinformatics techniques are used to find where sequences overlap and arrange them into a map of the whole chromosome.
Kinda like assembling a jigsaw puzzle.
Rating 4.1 (26) $68.86 In stockAs more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this
Rating 4.1 (26) $68.86 In stockNew chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining.
As more species' genomes are sequenced, computational analysis of these data has become increasingly important. Google BooksOriginally published: 2001Author: David W. Mount
Is genome analysis a part of genomics?
Although these methods are not, in themselves, part of genomics, no reasonable genome analysis and annotation would be possible without understanding how these methods work and having some practical experience with their use.
What is a good book on sequence analysis in bioinformatics?
Bioinformatics:
Sequence and Genome Analysis.
Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY.
Chapter 1. 4.
Durbin R, Eddy SR, Krogh A and Mitchison G. 1997.
Biological Sequence Analysis:Probabilistic Models of Proteins and Nucleic Acids.
Cambridge University Press, Cambridge, UK. 5.
Waterman MS. 1995. What is a good textbook for Bioinformatics?
The second edition of Bioinformatics:Sequence and Genome Analysis is an excellent textbook for bioinformatics introductory courses for both life sciences and computer science students
and a good reference for current problems in the field and the tools and methods employed in their solution.
David Mount is at the University of Arizona, Tucson. What is the second edition of bioinformatics?
The second edition of Bioinformatics:Sequence and Genome Analysis provides comprehensive instruction in computational methods for analyzing DNA
RNA and protein data with explanations of the underlying algorithms the advantages and limitations of each method and strategies for their application to biological problems.
In bioinformatics, sequence assembly refers to aligning and merging fragments from a longer DNA sequence in order to reconstruct the original sequence.
This is needed as DNA sequencing technology might not be able to 'read' whole genomes in one go, but rather reads small pieces of between 20 and 30,000 bases, depending on the technology used.
Typically, the short fragments (reads) result from shotgun sequencing genomic DNA, or gene transcript (ESTs).
In bioinformatics, sequence clustering algorithms attempt to group biological sequences that are somehow related.
The sequences can be either of genomic, transcriptomic (ESTs) or protein origin.
For proteins, homologous sequences are typically grouped into families.
For EST data, clustering is important to group sequences originating from the same gene before the ESTs are assembled to reconstruct the original mRNA.
In bioinformatics, sequence assembly refers to aligning and merging fragments from a longer DNA sequence in order to reconstruct the original sequence.
This is needed as DNA sequencing technology might not be able to 'read' whole genomes in one go, but rather reads small pieces of between 20 and 30,000 bases, depending on the technology used.
Typically, the short fragments (reads) result from shotgun sequencing genomic DNA, or gene transcript (ESTs).
In bioinformatics, sequence clustering algorithms attempt to group biological sequences that are somehow related.
The sequences can be either of genomic, transcriptomic (ESTs) or protein origin.
For proteins, homologous sequences are typically grouped into families.
For EST data, clustering is important to group sequences originating from the same gene before the ESTs are assembled to reconstruct the original mRNA.
