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Nucleotide sequence analysis - Bioinformatics Unit
Nucleotide sequence analysis - Bioinformatics Unit

... •BLAST  stands  for  Basic  Local  Alignment  Search  Tool.  It  is  used  to  compare  a  novel  sequence  with  those  contained  in  nucleotide  and  protein  databases.  The  emphasis  of  this  tool  is  to  find  regions  of  sequence  similarity.  These  can  yield  clues  about the structure ...
Multifractal analysis of DNA sequences using a novel chaos
Multifractal analysis of DNA sequences using a novel chaos

... two of them on the 1=f spectrum of DNA sequences [3]. By mapping the sequence onto a (1D) walk, Peng and others have built a kind of interface, whose statistics were used to probe the range of correlation of the sequences [4,5]. Linguistic features were claimed to have been found in noncoding DNA s ...
Brand, Veronica - Degenerate Primer Design using Computational Tools
Brand, Veronica - Degenerate Primer Design using Computational Tools

... (ie: how many input sequences it matches with fewer than e mismatches), and passes only the primers with the highest coverage to the third stage. The third stage is a refinement stage that uses a hill-climbing procedure to incrementally change two positions: one character is removed from a degenerat ...
Basic sequence analyses and submission
Basic sequence analyses and submission

... R2) do not have vector because the primers were designed within the cloned segment. 5. Use BLAST 2 sequences to Align M13_F with F1 http://www.ncbi.nlm.nih.gov/blast/bl2seq/wblast2.cgi (create a bookmark for this site) Copy the M13_F sequence in the Sequence 1 window and the F1 sequence in the Seque ...
A set reduction and pattern matching problem motivated by Allele
A set reduction and pattern matching problem motivated by Allele

... the pool of sequences produced using the locus specific primer (Fig. 3). The three steps seem quite similar due to their common purpose: reduction of the existing set. However, they are distinct as the primers must be designed to leverage different regions and levels of conservation within the seque ...
Manifold Alignment using Procrustes Analysis
Manifold Alignment using Procrustes Analysis

... retrieval and transfer learning in Markov decision processes (MDPs). 4.1. A Toy Example In this example, we directly align two manifolds and use some pictures to illustrate how our algorithm works. The two manifolds come from real protein tertiary structure data. Protein 3D structure reconstruction ...
Next-Generation Sequencing applied to aDNA
Next-Generation Sequencing applied to aDNA

... alignments/ Multiple sequence alignments for each region of interest (i.e.. gene); the folder contains both the unaligned sequences (*.fasta) and the aligned sequences (*.afa). phylogenies/ Super-matrices (combined multiple-sequence alignments) used in, and Newick trees resulting from, the phylogene ...
Searching for Mobile Genetic Elements in the Genome of the
Searching for Mobile Genetic Elements in the Genome of the

... 0.0005. The sequence names and corresponding base pair positions were formatted into the BED format, a format that allows for flexibility when defining data lines using a custom-made PERL script. ...
alternatively-spliced protein sequences derived
alternatively-spliced protein sequences derived

... (usually) indicate the existence of alternative splicing variants in SWISS-PROT. The sequence of alternative isoforms is not calculated. Additionally, the authors have used a clustering algorithm to uncover instances where two separate SWISS-PROT records describe isoforms of the same protein. Howeve ...
Document
Document

... AS expands protein diversity (generates from a single gene multiple transcripts) AS is tissue-specific (Graveley, 2001) AS is related to human diseases ...
Building Behavior Trees from Observations in Real
Building Behavior Trees from Observations in Real

... select the most-similar option. We call this tree maximallyspecific because it exactly represents the input example sequences without any generalisation or other processing. This tree is clearly extremely over-fit to the example data, so it needs to be reduced by finding common patterns. B. Reducing ...
Aucun titre de diapositive - Universidad Nacional De Colombia
Aucun titre de diapositive - Universidad Nacional De Colombia

... TIGR Gene Index uses a stringent and supervised clustering method, which generate shorter consensus sequences and separate splice variants. STACK uses a loose and unsupervised clustering method, producing longer consensus sequences and including splice variants in the same index. A combination of su ...
Genome
Genome

... BLAT will return a list of significant matches in the genome. Investigate the matches in the list by clicking browser for each match ...
Bioinformatics - Sequences and Computers
Bioinformatics - Sequences and Computers

... organism. All differences that exist today among genomes were then introduced during the ensuing billions of years of genomic changes and evolution. These changes then lead to the appearance of new organisms. This evolutionary development of life is likened to a tree with emerging new species and ki ...
Document
Document

... BLAT will return a list of significant matches in the genome. Investigate the matches in the list by clicking browser for each match ...
(TSS) report - GEP Community Server
(TSS) report - GEP Community Server

... 3. Alignment between the submitted model and the D. melanogaster ortholog Show an alignment between the protein sequence for your gene model and the protein sequence from the putative D. melanogaster ortholog. You can either use the protein alignment generated by the Gene Model Checker (available th ...
Contig annotation tool CAT robustly classifies assembled
Contig annotation tool CAT robustly classifies assembled

... no incorrectly classified sequences if self hits were not removed from the DIAMOND output (Figure 3), reflecting the case where the strain that is present in the microbial community has been sequenced, and is present in the database. The bitscore cutoff factor did not have a large influence on the l ...
View Tutorial
View Tutorial

... aminoacylated. The enzyme protects the ester linkage between the tRNA and is cognate amino acid en route to the ribosome. The EF-Tu:tRNA complex then associates with the ribosome, allowing the anticodon region of the tRNA to associate with the codon of the mRNA in the A-site of the ribosome. If the ...
File - Bengt Hansson
File - Bengt Hansson

... Aligning genomic and coding DNA sequences In this first drylab in ‘genotype to phenotype’, we want you to learn how most genes are built and to get familiar with exons, introns, start and stop codons (see figure below). You will work with a human Major Histocompatibility Complex (MHC) sequence, the ...
PPT - Glasnost
PPT - Glasnost

... To access a list of values from an array, use a ...
2. Adversarial Sequence Prediction
2. Adversarial Sequence Prediction

... includes a debate with Yudkowsky over whether such a proof is possible [13]. Legg produced a proof that it is not possible to prove what an AI will be able to achieve in the physical world, and Yudkowsky replied that he is not trying to prove what an AI can achieve in the physical world but merely t ...
Analysis of aptamer sequence activity relationshipsw
Analysis of aptamer sequence activity relationshipsw

... weight matrix to search genomic DNA for potential transcription factor binding sites. However the training of weight matrices using conventional SELEX methodologies is beset with problems, often resulting in very poor correlation between dissociation constants and the weight matrix scores.13,14 This ...
Team Application Activity #3: Statistical Analysis of Microbial
Team Application Activity #3: Statistical Analysis of Microbial

... 3. Finally, you will ask QIIME to generate a phylogenetic tree from your filtered alignments using FastTree, a modified NeighborJoining method (uses pairwise sequence comparisons to build the tree) that is much faster at metagenomics level analyses than many other methods, but is still reliable (see ...
Lecture4 - Department of Computer Science
Lecture4 - Department of Computer Science

... Which Similarity Matrix to Use? • Database searches or sequence alignments perform much better if the similarity matrix is based on replacement patterns that correspond to the degree of divergence of the sequences being aligned or discovered. • In database searching, a PAM or Blosum matrix correspon ...
Text S1.
Text S1.

... sequences show substantially higher ratios of non-synonymous over synonymous nucleotide differences (KA/KS = 0.91 for AlSRK06 and AhSRK23, and KA/KS = 1.13 for AlSRK04 and AhSRK20) than the sequences from the set of trans-specifically shared S-alleles (average KA/KS = 0.29). This is likely to be due ...
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Multiple sequence alignment



A multiple sequence alignment (MSA) is a sequence alignment of three or more biological sequences, generally protein, DNA, or RNA. In many cases, the input set of query sequences are assumed to have an evolutionary relationship by which they share a lineage and are descended from a common ancestor. From the resulting MSA, sequence homology can be inferred and phylogenetic analysis can be conducted to assess the sequences' shared evolutionary origins. Visual depictions of the alignment as in the image at right illustrate mutation events such as point mutations (single amino acid or nucleotide changes) that appear as differing characters in a single alignment column, and insertion or deletion mutations (indels or gaps) that appear as hyphens in one or more of the sequences in the alignment. Multiple sequence alignment is often used to assess sequence conservation of protein domains, tertiary and secondary structures, and even individual amino acids or nucleotides.Multiple sequence alignment also refers to the process of aligning such a sequence set. Because three or more sequences of biologically relevant length can be difficult and are almost always time-consuming to align by hand, computational algorithms are used to produce and analyze the alignments. MSAs require more sophisticated methodologies than pairwise alignment because they are more computationally complex. Most multiple sequence alignment programs use heuristic methods rather than global optimization because identifying the optimal alignment between more than a few sequences of moderate length is prohibitively computationally expensive.
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