Glocal alignment: finding rearrangements during alignment

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Glocal alignment: finding rearrangements during alignment

MOTIVATION To compare entire genomes from different species, biologists increasingly need alignment methods that are efficient enough to handle long sequences, and accurate enough to correctly align the conserved biological features between distant species. The two main classes of pairwise alignments are global alignment, where one string is transformed into the other, and local alignment, wher...

متن کامل

Pairwise alignment with rearrangements.

The increase of available genomes poses new optimization problems in genome comparisons. A genome can be considered as a sequence of characters (loci) which are genes or segments of nucleotides. Genomes are subject to both nucleotide transformation and character order rearrangement processes. In this context, we define a problem of so-called pairwise alignment with rearrangements (PAR) between ...

متن کامل

Handling Rearrangements in DNA Sequence Alignment

Sequence alignment is one of the core problems of bioinformatics, with a broad range of applications such as genome assembly, gene identification, and phylogenetic analysis [1]. Alignments between DNA sequences are used to infer evolutionary or functional relationships between genes. Evolution occurs through DNA mutations, which include small-scale edits and larger-scale rearrangement events. T...

متن کامل

Mauve: multiple alignment of conserved genomic sequence with rearrangements.

As genomes evolve, they undergo large-scale evolutionary processes that present a challenge to sequence comparison not posed by short sequences. Recombination causes frequent genome rearrangements, horizontal transfer introduces new sequences into bacterial chromosomes, and deletions remove segments of the genome. Consequently, each genome is a mosaic of unique lineage-specific segments, region...

متن کامل

Image alignment via kernelized feature learning

Machine learning is an application of artificial intelligence that is able to automatically learn and improve from experience without being explicitly programmed. The primary assumption for most of the machine learning algorithms is that the training set (source domain) and the test set (target domain) follow from the same probability distribution. However, in most of the real-world application...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Bioinformatics

سال: 2003

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/btg1005