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Binary Alignment Map (BAM) is the comprehensive raw data of genome sequencing; [1] it consists of the lossless, compressed binary representation of the Sequence Alignment Map-files. [2] [3] BAM is the compressed binary representation of SAM (Sequence Alignment Map), a compact and index-able representation of nucleotide sequence alignments. [4]
Alignment of 27 avian influenza hemagglutinin protein sequences colored by residue conservation (top) and residue properties (bottom) Multiple sequence alignment is an extension of pairwise alignment to incorporate more than two sequences at a time. Multiple alignment methods try to align all of the sequences in a given query set.
The SAM format consists of a header and an alignment section. [1] The binary equivalent of a SAM file is a Binary Alignment Map (BAM) file, which stores the same data in a compressed binary representation. [4] SAM files can be analysed and edited with the software SAMtools. [1] The header section must be prior to the alignment section if it is ...
SAMtools is a set of utilities for interacting with and post-processing short DNA sequence read alignments in the SAM (Sequence Alignment/Map), BAM (Binary Alignment/Map) and CRAM formats, written by Heng Li. These files are generated as output by short read aligners like BWA.
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
Stockholm format is a multiple sequence alignment format used by Pfam, Rfam and Dfam, to disseminate protein, RNA and DNA sequence alignments. [1] [2] [3] The alignment editors Ralee, [4] Belvu and Jalview support Stockholm format as do the probabilistic database search tools, Infernal and HMMER, and the phylogenetic analysis tool Xrate.
Pileup format is a text-based format for summarizing the base calls of aligned reads to a reference sequence. This format facilitates visual display of SNP/indel calling and alignment.
Several projects to improve RefSeq services are currently in development by the NCBI, often in collaboration with research centers such as EMBL-EBI: . Consensus CDS (CCDS): This project aims to identify a core set of human and mouse protein-coding regions and standardize sets of genes with high and consistent levels of genomic annotation quality.