1 lanche of genomic sequences generated in the
post-genomic age requires efficient computational method
2 bility of protein sequences generated in the
post-genomic age, however, a sequence-based solution to
3 avalanche of DNA sequences generated in the
post-genomic age, it is a challenging task to develop co
4 valanche of genome sequences emerging in the
post-genomic age, it is an urgent challenge to acquire t
5 alanche of genome sequences generated in the
post-genomic age, it is highly desired to develop automa
6 alanche of protein sequences emerging in the
post-genomic age, it is highly desired to develop comput
7 ity of amino acid sequences generated in the
post-genomic age, it is possible to predict an unknown p
8 che of biological sequences generated in the
post-genomic age, one of the most challenging problems i
9 paralleled access to species' genomes in our
post-genomic age, we often lack adequate biological expl
10 how genotype translates to phenotype in this
post-genomic age.
11 databases in the recent years the results of
post-genomic analyses can facilitate a better understand
12 provides a platform which will be of use for
post-genomic analyses of Leishmania cell biology in rela
13 d therefore has numerous applications in the
post-genomic analysis of protein function.
14 sequenced organism is an essential task for
post-genomic analysis.
15 Application of
post-genomic and gene-editing tools to the study of live
16 Post-genomic and systems biology approaches are also eme
17 In this era of
post-genomics and modelling of multi-cellular systems us
18 Sensory biotechnology could be the first
post-genomic application to break through to the consume
19 usefulness of frameshift alignment with two '
post-genomic'
applications: (i) when finding pseudogenes
20 But now a
post-genomics approach has provided a powerful wedge int
21 Over recent years, genomic and
post-genomic approaches have produced a wealth of inform
22 ganisms, an increasingly useful resource for
post-genomics approaches.
23 A key challenge in the
post-genomic area is to identify the function of the gen
24 lar signatures produced from high-throughput
post-genomic assays.
25 Genomic and
post-genomic biological research has provided fine-grain
26 In short, much of
post-genomic biology is increasingly becoming a form of
27 s) to their targets, is a central problem in
post-genomic biology.
28 rupt RNA function, an important objective in
post-genomic biology.
29 ioinformatics to lead experimental design in
post-genomic biology.
30 sing multi-omics approaches is a fundamental
post-genomic challenge.
31 h a particular focus on their application to
post-genomic data analysis.
32 Post-genomic data can bridge this gap by capturing the r
33 cal knowledge from the ab initio analysis of
post-genomic data relies upon the use of unsupervised pr
34 in interaction networks are one of the major
post-genomic data sources available to molecular biologi
35 y designed to tackle the challenges posed by
post-genomic data.
36 discriminatory variables and samples for any
post-genomic dataset.
37 me draft sequence was produced, then examine
post-genomic datasets for evidence of crossing-over betw
38 abase is designed to accommodate genome-wide
post-genomic datasets that are becoming available for th
39 Here, we describe
post-genomic developments toward the identification of d
40 bility across a wide range of analytical and
post-genomic disciplines.
41 used to extract functional information in a
post-genomic environment.
42 ization for neurodegenerative disease in the
post genomic era must include genotype, phenotype and cl
43 Cancer biology finds itself in a
post-genomic era and the hopes of using inherited geneti
44 terized proteins is a major challenge in the
post-genomic era due to the problem's complexity and sca
45 rise of high-throughput technologies in the
post-genomic era has led to the production of large amou
46 The
post-genomic era has resulted in the accumulation of hig
47 e consider the transition from genomics to a
post-genomic era in Aspergillus, describing resources an
48 Metabolic engineering in the
post-genomic era is characterised by the development of
49 A central question in the
post-genomic era is how genes interact to form biologica
50 A prominent feature of the early
post-genomic era is the description of the molecular mac
51 A critical challenge of the
post-genomic era is to understand how genes are differen
52 area in anti-infectives research, but in the
post-genomic era it has been more difficult than expecte
53 el high-throughput approaches spawned by the
post-genomic era on the development of next-generation d
54 relied on screening mutant populations, the
post-genomic era provides an opportunity to develop nove
55 Opportunities exist in the
post-genomic era to bypass resistance to classical retin
56 In the current
post-genomic era we must ask how to translate this DNA s
57 n of experimental breeding programmes in the
post-genomic era when we shall potentially have access t
58 we propose, equipped with insights from the
post-genomic era, a contrary view: that microbiology's c
59 In the
post-genomic era, advances in the field of cancer biolog
60 of transcription is a main challenge of the
post-genomic era, and can be overcome with the aid of cu
61 In the
post-genomic era, biologists interested in systems biolo
62 In the
post-genomic era, developing tools to decode biological
63 In the
post-genomic era, functional prediction of genes is larg
64 In the
post-genomic era, genomic medicine interventions as a ke
65 ments of the small RNA field in the pre- and
post-genomic era, in celebration of the 10th anniversary
66 In the
post-genomic era, many useful tools have been developed
67 wth of biological sequences generated in the
post-genomic era, one of the most challenging problems i
68 In this
post-genomic era, our capacity to explore biological net
69 As biology enters the
post-genomic era, researchers have begun to embrace the
70 In the
post-genomic era, the annotation of protein function fac
71 of newly available peptide sequences in the
post-genomic era, the development of automated computati
72 In the
post-genomic era, the elucidation of the relationship be
73 In this
post-genomic era, the field is largely focused on a mole
74 In this
post-genomic era, the individualization of chemotherapy
75 Now that we are in the
post-genomic era, there is a greater need than ever for
76 As we enter the
post-genomic era, there is an increasing need for accura
77 As we enter the
post-genomic era, with the number of candidate loci unde
78 one of the most challenging problems of the
post-genomic era.
79 Plant research is moving into the
post-genomic era.
80 isms represent significant challenges of the
post-genomic era.
81 tool for analysis of protein function in the
post-genomic era.
82 to our understanding of gene function in the
post-genomic era.
83 nal regulatory network is a challenge of the
post-genomic era.
84 iderable importance to bioinformatics in the
post-genomic era.
85 been used to elucidate gene function in the
post-genomic era.
86 phylogenetic position as a bryophyte in the
post-genomic era.
87 by computational methods is required in the
post-genomic era.
88 tion determination is a key challenge in the
post-genomic era.
89 neral and specific types of promoters in the
post-genomic era.
90 quence variations in complex diseases in the
post-genomic era.
91 iants remains a significant challenge in the
post-genomic era.
92 ction networks has received attention in the
post-genomic era.
93 hemical assays are gaining popularity in the
post-genomic era.
94 covered proteins has been a challenge in the
post-genomic era.
95 t levels of biological complexity during the
post-genomic era.
96 n immediate opportunity and challenge in the
post-genomic era.
97 t has propelled biological research into the
post-genomic era.
98 tiple genomes is an important problem in the
post-genomic era.
99 central challenge for cancer genomes in the
post-genomic era.
100 is one of the most important problems in the
post-genomic era.
101 dly becoming a standard research tool in the
post-genomic era.
102 cal pathway is one key molecular goal in the
post-genomic era.
103 is crucial to biological research during the
post-genomic era.
104 g the use of this genomic information in the
post-genomic era.
105 sequences continues to widen rapidly in the
post-genomics era due to long and expensive processes fo
106 o capture some of the current efforts in the
post-genomics era of malaria research and highlights the
107 In the
post-genomics era, molecular evolutionary geneticists ha
108 malian gene function studies as we enter the
post-genomics era.
109 ance of natural products research during the
post-genomics era.
110 gen, Candida albicans has firmly entered the
post-genomics era.
111 key component to the next revolution in the '
post-genomic'
era will be the increasingly widespread us
112 d to contain and manipulate information from
post-genomic experiments using the model bacterium Esche
113 ghts the pivotal role of integrating EMR and
post-genomics for personalized health, reflecting on les
114 hrough their involvement in leukaemia or via
post-genomic gene discovery approaches.
115 e, progress made in schistosome genomics and
post-genomics is considered.
116 lecular mechanism of cancer formation at the
post-genomic level.
117 epresents one of the most important goals in
post-genomics malaria research.
118 ires express a degree of uniformity in their
post-genomic organization.
119 ow stand on the brink of a new revolution in
post-genomic personalised medicine, with physics-based t
120 al genome sequences has ushered in an era of
post-genomic research - accelerating and often enabling
121 As
post-genomic research grows from showing patterns to rev
122 A major challenge in
post-genomic research has been to understand how physiol
123 o bumblebee genomes provide a foundation for
post-genomic research on these key pollinators and insec
124 s (genome browsers) are rapidly accelerating
post-genomic research, with integrated genomic DNA, gene
125 ls, provides the foundation for a new era of
post-genomic research.
126 ors in MSAs is important for a wide range of
post-genomic research.
127 nd tissue-specific contexts, a major goal of
post-genomic research.
128 igene engineering to realize benefits of the
post-genomic revolution.
129 Metabolomics is emerging as an exciting
post-genomic science with applications that span the sco
130 A major
post-genomic scientific and technological pursuit is to
131 In the
post-genomic sequencing era, an expanding portfolio of g
132 Post-genomic studies have revealed complex patterns of g
133 d mutants, provide foundations for a host of
post-genomic studies to shed more light on the relations
134 o supporting and validating predictions from
post-genomic studies.
135 array technology remains at the forefront of
post-genomic systems biology.
136 With the increasing use of
post-genomics techniques to examine a wide variety of bi
137 Recent advances in genomic and
post-genomic technologies have facilitated a genome-wide
138 The application of
post-genomic technologies is beginning to provide insigh
139 mitations of these approaches and review how
post-genomic technologies offer complementary strategies
140 It is anticipated that the application of
post-genomic technologies will begin to shed light on th
141 ough the use of high-throughput genomics and
post-genomics technologies.
142 Motivation: Metabolomics is a
post genomic technology which seeks to provide a compreh
143 New developments in
post-genomic technology now provide researchers with the
144 iological systems, is emerging as a powerful
post-genomic technology.
145 ction maps represent essential components of
post-genomic toolkits needed for understanding biologica
146 In the
post-genomic view of cellular function, each biological