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1 a different interpretation than conventional sequence alignment.
2 ncluding for example an interactive multiple sequence alignment.
3 cantly better than the results secured using sequence alignment.
4 cal and global quality of the input multiple sequence alignment.
5 complexity hinders its accurate assembly via sequence alignment.
6 ion/deletion model used in standard pairwise sequence alignment.
7 reduces the need for computationally costly sequence alignment.
8 a matrix-like array of numbers or a multiple-sequence alignment.
9 onsensus secondary structure and the optimal sequence alignment.
10 analyses are based on pre-estimated multiple sequence alignment.
11 ccurate inference by homology is an accurate sequence alignment.
12 y sequences and database hits using pairwise sequence alignment.
13 more uniform amplification and more accurate sequence alignment.
14 TurboFold by additionally providing multiple sequence alignments.
15 erforms as well as methods based on multiple sequence alignments.
16 ase pairing induces pairwise covariations in sequence alignments.
17 timate site-specific substitution rates from sequence alignments.
18 ted to improve the quality of large multiple sequence alignments.
19 SFESA web server to refine pairwise protein sequence alignments.
20 t, predicted natively disordered regions and sequence alignments.
21 ations are readily identifiable from primary sequence alignments.
22 coding genes can be detected within multiple sequence alignments.
23 -residue contact prediction even for shallow sequence alignments.
24 Gs (Clusters of Orthologous Genes), multiple sequence alignments, a set of 'index' orthologs represen
25 ergence of functional lineages in a multiple sequence alignment-a model for how sector properties mig
26 e browsers with evidence tracks derived from sequence alignments, ab initio gene predictors, RNA-Seq
28 amming matrix in the Needleman-Wunsch global sequence alignment algorithm, and reconstruct phylogenet
32 Despite the relative success of modern-day sequence alignment algorithms, so-called alignment-free
35 lar and alpha-helical membrane proteins from sequence alignments alone, we developed an approach to p
36 of sequences SARA-Coffee outputs a multiple sequence alignment along with a reliability index for ev
37 To overcome these challenges, we have used sequence alignments, an anaerobic purification method, i
41 dynamics on parameters derived from multiple sequence alignments analyzed by using direct coupling an
42 ich each family is represented by a multiple sequence alignment and a profile hidden Markov model (HM
45 HTSlib for BAM access, BWA-MEM and BLAT for sequence alignment and Fermi for error correction and se
50 of Potts models from structure prediction to sequence alignment and homology search by developing wha
51 t implementations of Needleman-Wunsch global sequence alignment and its semi-global variants are not
54 or Genomics) for reinforcing key concepts in sequence alignment and phylogenetic tree reconstruction.
55 most practical approach to problems such as sequence alignment and phylogeny, more rigorous approach
57 y collects homologues, infers their multiple sequence alignment and reconstructs a phylogenetic tree
60 esults highlight the importance of improving sequence alignment and the use of appropriate substituti
61 a suite of tools for downloading data, multi-sequence alignment and tree building supports a variety
65 hyltransferases have been identified through sequence alignment and/or genetic analysis; however, few
66 m designed for the fast, scalable display of sequence alignments and annotations landscaped against a
67 mensional structural information or multiple sequence alignments and can even predict small interacti
70 two active site residues predicted based on sequence alignments and crystal structures, to be key to
71 e recognition databases and protein multiple sequence alignments and discuss possible interpretations
74 ocal, global, and semi-global pairwise intra-sequence alignments and improves the performance of prev
75 ne learning, including high-quality multiple sequence alignments and insulated training/validation sp
78 etween protein sequences, rely upon multiple sequence alignments and phylogenetic trees of large data
81 alth of information associated with multiple sequence alignments and presents them in an intuitive ma
82 ats and provides an interface to analyses of sequence alignments and sets of contact predictions.
83 nd TEN across species, we performed multiple sequence alignments and statistical coupling analysis on
84 represented in phylogenetic trees, multiple sequence alignments and statistical models (hidden Marko
85 omparison of the three methods showed deeper sequence alignments and the integration of domain-based
87 all aligned PPI networks and (ii) using both sequence alignments and topological NMTF-predicted score
88 ent the genetic variation observed after DNA sequencing, alignment and variant calling of a sample co
89 n of orthologous genes or proteins, multiple sequence alignment, and choice of substitution models an
90 s in existing databases, performs a multiple sequence alignment, and design primers based on sequence
92 Jmol or JSmol, along with the corresponding sequence alignment, and the option to download the nucle
93 n constraints derived from antibody multiple-sequence alignments, and (ii) during backbone design, ma
94 correlations between sites in deep multiple sequence alignments, and these pairwise couplings have i
96 ationship studies, receptor mutagenesis, and sequence alignment are integrated to better understand p
98 ndel component of the probability of a given sequence alignment as a product of either probabilities
100 tablished applications for multiple circular sequence alignment as well as single and structured moti
102 to produce results as effective as multiple-sequence alignment based methods for reconstruction of p
104 gnment tool that can refine a given multiple sequence alignment based on suboptimal alignments genera
105 d 90%, as an alternative to conventional DNA sequence alignment-based approaches to identify putative
106 tivity and specificity for read-binning than sequence alignment-based methods, also executing in less
109 ical prediction of pairwise covariation from sequence alignments, but it initially showed limited uti
114 These analyses include: a wide variety of sequence alignments, comparative analyses of multiple ge
115 inferring covariation signals from multiple sequence alignments, considers a broad range of other se
116 t could not be assigned by antibody germline sequence alignment could be correctly determined using t
117 fects of different read parameters on genome sequence alignment, coverage of different classes of gen
120 Genome assembly, repeat detection, multiple sequence alignment, error detection and many other relat
121 cers across distantly related species, where sequence alignment fails, and the model highlights speci
122 rts the visualization of quality metrics for sequence alignment files for multiple experiments genera
124 d library for working with SAM, BAM and CRAM sequence alignment files; the most common file formats f
127 coveries in selected viruses, we now analyze sequence alignments for approximately 700 RNA virus spec
128 f Fungi-Pezizomycotina (Ascomycota)-based on sequence alignments for six loci (nr5.8S, nrLSU, nrSSU,
129 ess to curated, representative ribosomal RNA sequence alignments from bacterial, archaeal, eukaryal a
130 gies for SNP and INDEL discovery incorporate sequence alignments from multiple individuals to maximiz
134 dels for scoring insertions and deletions in sequence alignments has been hindered by algorithmic com
139 Though various fast Smith-Waterman local sequence alignment implementations have been developed f
140 wed that structural alignment is better than sequence alignment in identifying good templates, suitab
141 to improve the accuracy of multiple circular sequence alignment in terms of the inferred likelihood-b
143 s utilities for manipulating high-throughput sequence alignments in the Sequence Alignment/Map format
145 idely used methods for inferring homology by sequence alignment, including BLAST and profile hidden M
150 Here, we generated 2871 gene-family protein sequence alignments involving 9990 genes and performed m
153 ologous template proteins and their pairwise sequence alignment is a key step in protein comparative
158 her ultra-fast metagenomic classifiers, full sequence alignment is performed allowing for gene identi
159 ow however, the quality of the corresponding sequence alignment is usually poor, leading to poor perf
161 Evolutionary information encoded in multiple sequence alignments is known to greatly improve sequence
162 ribe couplings between columns in a multiple sequence alignment it is possible to significantly incre
166 onserved RNA structure, as opposed to when a sequence alignment merely has insufficient variation to
168 fast clustering methods and slower multiple sequence alignment methods and provides a seamless trans
169 ing in biological sequences, the traditional sequence alignment methods become unsuitable and infeasi
170 tures: 1) instead of using multiple/pairwise sequence alignment methods, BSPAT adopts an efficient an
171 f bioinformatics is to use a single multiple sequence alignment (MSA) as the basis for various types
173 SSMs are built from the query-based multiple sequence alignment (MSA) implied by the pairwise alignme
175 ent a parsimonious, structure-based multiple sequence alignment (MSA) of 497 human protein kinase dom
176 ce profiles, which are derived from multiple sequence alignment (MSA) of sequence homologs in a prote
177 te Carlo (MCMC) sampler for protein multiple sequence alignment (MSA) that, as implemented in the pro
178 tors [i.e. deep learning technique, multiple sequence alignment (MSA), distance distribution predicti
179 in due to the requirement for large multiple sequence alignments (MSA) and the fact that, in general,
180 protein structure and function from Multiple Sequence Alignments (MSA) are emerging as powerful tools
183 (3D) structures to high-quality RNA multiple sequence alignments (MSAs) from diverse biological sourc
185 nal and systematic information from multiple sequence alignments (MSAs) is becoming increasingly impo
186 nce matrix (or precision matrix) of multiple sequence alignments (MSAs) through deep residual convolu
187 , Uniclust30 and three databases of multiple sequence alignments (MSAs), Uniboost10, Uniboost20 and U
188 As) and some typical types of local multiple sequence alignments (MSAs), we numerically computed the
194 obtained from OrthoDB and randomly generated sequence alignments (non-homologs), successfully determi
196 ing consensus topology generated by multiple sequence alignment of a group of neurons reveals their s
199 bstrate-docked structures that, coupled with sequence alignment of FraB homologs, helped map a putati
200 extract amino acid contacts from a multiple sequence alignment of homologues of the curli subunit pr
205 profile is then constructed from a multiple sequence alignment of the interface analogies, which is
206 mmetry properties, the symmetry axis and the sequence alignment of the structures before and after th
207 utations of the TaRca2-beta isoform based on sequence alignment of the thermostable TaRca1-beta from
212 okaryotic complexes for which large multiple sequence alignments of homologous sequences can be compi
217 coevolution profiles extracted from multiple sequence alignments of protein families with their infer
218 features that can be extracted from multiple sequence alignments of putative homologous genes (orthol
221 s concatenating several alternative multiple sequence alignments of the same sequences, produced usin
222 generation of reference-free Cactus multiple sequence alignments of these genomes, and the developmen
223 the long-anticipated possibility of putting sequence alignment on the same footing as statistical ph
224 irus epidemiological data, and viral protein sequence alignments on one page, and provides further in
225 ndly interface to BAM/SAM/CRAM files, global sequence alignment operations and sequence assembly.
227 ences, particularly for splicing prediction, sequence alignment, phylogenetic analysis, and structure
228 were computed together with their associated sequence alignments, phylogenies, HMM models and functio
229 domain that was previously unrecognized from sequence alignments, placing cPLA2delta into the class o
233 % more accurate than popular next-generation sequencing alignment programs when processing mate pair
242 ork aligners and show that (i) by using only sequence alignment scores, Fuse already outperforms othe
250 methods for the curation of quality multiple sequence alignments since these public datasets represen
255 -read aligner, can compute WGS (whole-genome sequencing) alignments ten times faster than comparable
256 his enables the scalable generation of large sequence alignments that maintain high accuracy even on
257 sis (SCA) is a method for analyzing multiple sequence alignments that was used to identify groups of
258 he analysis of computer-simulated nucleotide sequence alignments that were evolved with non-stationar
259 ignments of query sequences against multiple sequence alignments; the redesign of the web pages and d
260 Despite the advances in recent decades on sequence alignment, threading and alignment-free methods
261 ation were (i) a core morph guided by a TLR7 sequence alignment to achieve a dual TLR7/8 antagonism p
262 and K900) in the VZV gBcyt was identified by sequence alignment to be conserved among alphaherpesviru
265 identifying statistically significant local sequence alignments to evaluating matches to hidden Mark
266 been developed to utilize extensive protein sequence alignments to extract co-evolutionary signals o
267 Probs is a state-of-the-art protein multiple sequence alignment tool based on hidden Markov models.
268 ity and contact map visualizations, multiple sequence alignment tools for template-based modeling, ri
273 io calculation of the probability of a given sequence alignment under a genuine stochastic evolutiona
275 on program JoY, formats a submitted multiple-sequence alignment using three-dimensional (3D) structur
276 od, COMPADRE (COmparison of Multiple Protein sequence Alignments using Database RElationships) assess
277 voted to developing pipelines for automating sequence alignment, variant calling, and annotation.
278 ly calculate the occurrence probabilities of sequence alignments via evolutionary processes on an ent
280 equence download options, and a new multiple sequence alignment viewer has been incorporated into the
283 e, using bioinformatics analyses and protein sequence alignments, we found that in Arabidopsis thalia
287 stence of an uncertainty induced by multiple sequence alignment when reconstructing phylogenies.
288 is task by automatically generating multiple sequence alignments (where appropriate) and finding stru
289 iled with the input sequence into a multiple sequence alignment which is mined for single-nucleotide
290 approaches to sequence analysis are based on sequence alignment, which is limited when dealing with l
291 or DECIPHER, a new context-aware program for sequence alignment, which outperformed other programs on
292 hylogenetic approaches are based on multiple sequence alignments, which analyze shared gene datasets
293 come widely available, structurally-informed sequence alignment will become broadly useful for de nov
296 n amino acid substitution that also restores sequence alignment with Old World monkeys, protected aga
297 VesB is likely produced as a zymogen because sequence alignment with trypsinogen identified a putativ
298 VG format with options to view full multiple sequence alignments with and without gaps and insertions
299 the repetitive element content, and produce sequence alignments with human and chimpanzee Y Chromoso
300 s based on the seed-and-extend approach from sequence alignment, with modifications specific to optic