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Download QR code ; Print/export ... This list of sequence alignment software is a compilation of software tools and web portals ... It is best for mapping 15-60 bp ...
This page is a subsection of the list of sequence alignment software. Multiple alignment visualization tools typically serve four purposes: Aid general understanding of large-scale DNA or protein alignments; Visualize alignments for figures and publication; Manually edit and curate automatically generated alignments; Analysis in depth
List of proprietary bioinformatics software; List of open-source bioinformatics software; Alternatively, here is a categorization according to the respective bioinformatics subfield specialized on: Sequence analysis software. List of sequence alignment software; List of alignment visualization software; Alignment-free sequence analysis
EzEditor is a java-based sequence alignment editor for rRNA and protein coding genes. It allows manipulation of both DNA and protein sequence alignments for phylogenetic analysis: Neighbor Joining: Jeon, Y.S. et al. fastDNAml Optimized maximum likelihood (nucleotides only) Maximum likelihood: G.J. Olsen FastTree 2 [18]
Suite of tools for assembly, alignment, and analysis of short read next generation sequencing data Unix/Linux, macOS: GPL: BGI: Staden Package: Sequence assembly, editing, and analysis, mainly consisting of gap4, gap5, and spin. Written in C, C++, Fortran and Tcl. Linux, macOS, Windows: BSD: Wellcome Trust Sanger Institute, Medical Research Council
For protein sequences, the final alignment is produced using a full Smith–Waterman alignment. For DNA sequences, a banded alignment is provided. For DNA sequences, a banded alignment is provided. FASTA can remove complexity regions before aligning the sequences by encoding low complexity regions in lower case and using the -S option.
Salmon is a software tool for computing transcript abundance from RNA-seq data using either an alignment-free (based directly on the raw reads) or an alignment-based (based on pre-computed alignments) approach. It uses an online stochastic optimization approach to maximize the likelihood of the transcript abundances under the observed data.
In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences. [1] Aligned sequences of nucleotide or amino acid residues are typically represented as rows within a matrix.