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At least 1,315 records · Page 73Linked to original sources

IMGT-ONTOLOGY for immunogenetics and immunoinformatics.

IMGT, the international ImMunoGeneTics information system(R) (http://imgt.cines.fr), is a high quality integrated knowledge resource specializing in immunoglobulins (IG), T cell receptors (TR), major histocompatibility complex (MHC) and related proteins of the immune system (RPI) of human and other vertebrates, created in 1989, by the Laboratoire d'ImmunoGenetique Moleculaire LIGM. IMGT provides a common access to standardized data which include nucleotide and protein sequences, oligonucleotide primers, gene maps, genetic polymorphisms, specificities, 2D and 3D structures. IMGT consists of several sequence databases (IMGT/LIGM-DB, IMGT/MHC-DB, IMGT/PRIMER-DB), one genome database (IMGT/GENE-DB) and one three-dimensional structure database (IMGT/3Dstructure-DB), interactive tools for sequence analysis (IMGT/V-QUEST, IMGT/JunctionAnalysis, IMGT/PhyloGene, IMGT/Allele-Align), for genome analysis (IMGT/GeneSearch, IMGT/GeneView, IMGT/LocusView) and for 3D structure analysis (IMGT/StructuralQuery), and Web resources ("IMGT Marie-Paule page") comprising 8000 HTML pages. IMGT other accesses include SRS, FTP, search by BLAST, etc. By its high quality and its easy data distribution, IMGT has important implications in medical research (repertoire in autoimmune diseases, AIDS, leukemias, lymphomas, myelomas), veterinary research, genome diversity and genome evolution studies of the adaptive immune responses, biotechnology related to antibody engineering (scFv, phage displays, combinatorial libraries) and therapeutical approaches (grafts, immunotherapy). IMGT is freely available at http://imgt.cines.fr.

Animals↗

DWARF--a data warehouse system for analyzing protein families.

BACKGROUND: The emerging field of integrative bioinformatics provides the tools to organize and systematically analyze vast amounts of highly diverse biological data and thus allows to gain a novel understanding of complex biological systems. The data warehouse DWARF applies integrative bioinformatics approaches to the analysis of large protein families. DESCRIPTION: The data warehouse system DWARF integrates data on sequence, structure, and functional annotation for protein fold families. The underlying relational data model consists of three major sections representing entities related to the protein (biochemical function, source organism, classification to homologous families and superfamilies), the protein sequence (position-specific annotation, mutant information), and the protein structure (secondary structure information, superimposed tertiary structure). Tools for extracting, transforming and loading data from public available resources (ExPDB, GenBank, DSSP) are provided to populate the database. The data can be accessed by an interface for searching and browsing, and by analysis tools that operate on annotation, sequence, or structure. We applied DWARF to the family of alpha/beta-hydrolases to host the Lipase Engineering database. Release 2.3 contains 6138 sequences and 167 experimentally determined protein structures, which are assigned to 37 superfamilies 103 homologous families. CONCLUSION: DWARF has been designed for constructing databases of large structurally related protein families and for evaluating their sequence-structure-function relationships by a systematic analysis of sequence, structure and functional annotation. It has been applied to predict biochemical properties from sequence, and serves as a valuable tool for protein engineering.

Amino Acid Sequence↗

Genomes of 211 Actinomycete Strains from Diverse Environments.

Actinomycetes are a highly diverse group of microorganisms that have long been recognized as a valuable source of antibiotics and other bioactive metabolites. Recent advances in genome mining have revealed a wealth of previously unexplored silent secondary metabolite biosynthetic gene clusters (smBGCs) in actinomycete genomes, underscoring their untapped bioactivity potential. Here, we present the genome sequences of 211 actinomycete strains isolated from various environmental sources, generated through high-throughput sequencing. The resulting genome assemblies exhibit high completeness and accuracy, offering high-quality data for downstream analyses and biological resource exploration.

Actinobacteria↗

Chromosome-level genome assembly of starry flounder (Platichthys stellatus).

Starry flounder (Platichthys stellatus) is widely distributed along the coastlines of the North Pacific. As an euryhaline flatfish, it can adapt to a wide range of environmental salinity ranging from freshwater to seawater, and is a promising aquaculture flatfish species in Korea and North China. However, no high-quality starry flounder reference genome has been reported to date, which greatly limits the studies of genetics and functional genomics. Here, we obtained a high-quality chromosome-level starry flounder genome assembly with a length of 643.56 Mb (scaffold N50: 26.19 Mb, contig N50: 10.00 Mb) combining short-reads sequencing, PacBio HiFi sequencing, and Hi-C sequencing. Approximately 94.02% of assembled sequences were anchored into 24 pseudochromosomes, and a total of 18 telomeres were detected. Totally 22,835 protein-coding genes and 227.87 Mb repetitive sequences were identified. In summary, the high-quality chromosome-level genome assembly not only provides valuable resources for genetic research in starry flounder, but also advances the development of molecular breeding technology of starry flounder.

Animals↗

Data mining parasite genomes: haystack searching with a computer.

A number of genomes of parasitic organisms are presently being sequenced in the public domain, including Plasmodium falciparum, Leishmania major and Trypanosoma brucei with the likelihood of at least expressed sequence tag (EST) projects for several filarial and apicomplexan species. The early and timely release of sequence data to the community via the World Wide Web (www), and the public databases, (EMBL and GENBANK), forms an invaluable resource. Data mining, or 'haystack searching' this resource is becoming more fruitful to all members of the scientific community as the volume of data, diversity of genomes sampled, and accessibility increase.

Animals↗

Sharkmer: repurposing PCR primers for targeted genome assembly using in silico PCR.

SUMMARY: We introduce an in silico PCR (sPCR) method for the assembly of specific genomic regions spanned by PCR primers using raw sequence reads. This allows a user to quickly isolate the exact regions that are abundant in public archives of gene sequences, leveraging the decades of work that have gone into optimizing primer sequences for benchtop PCR. We implement sPCR in sharkmer as a targeted de Bruijn graph assembler seeded with the forward primer sequence and terminated with the reverse primer sequence. This is useful for a variety of routine tasks, including validating the species identity of a dataset, identifying contaminants, and quickly building phylogenies from raw sequence data. AVAILABILITY AND IMPLEMENTATION: sharkmer is written in Rust. Code, instructions for installation and use, tests, and other resources are available in the GitHub repository at https://github.com/caseywdunn/sharkmer and at Zenodo with DOI 10.5281/zenodo.19020708. It can also be installed via bioconda.

Software↗

Applications of combined DNA microarray and chromosome sorting technologies.

The sequencing of the human genome has led to the availability of an extensive mapped clone resource that is ideal for the construction of DNA microarrays. These genomic clone microarrays have largely been used for comparative genomic hybridisation studies of tumours to enable accurate measurement of copy number changes (array-CGH) at increased resolution. We have utilised these microarrays as the target for chromosome painting and reverse chromosome painting to provide a similar improvement in analysis resolution for these studies in a process we have termed array painting. In array painting, chromosomes are flow sorted, fluorescently labelled and hybridised to the microarray. The complete composition and the breakpoints of aberrant chromosomes can be analysed at high resolution in this way with a considerable reduction in time, effort and cytogenetic expertise required for conventional analysis using fluorescence in situ hybridisation. In a similar way, the resolution of cross-species chromosome painting can be improved and we present preliminary observations of the organisation of homologous DNA blocks between the white cheeked gibbon chromosome 14 and human chromosomes 2 and 17.

Cell Line↗

Sequence variation and disease in the wake of the draft human genome.

The sequencing phase of the human genome project will soon be over. In its wake, repertoires of sequence polymorphisms among the human population are being sampled and a battery of functional genomics projects, from gene and protein expression studies to whole proteome interaction experiments, are generating vast quantities of data. Now that the data, or the means to generate data, are available it is the application of this information in enhancing our understanding of biology that represents the next formidable challenge. Two prominent issues should be considered. First, existing data must be analysed using the best methods available. The prediction of enzymatic activity for bestrophin, whose gene is mutated in Best macular dystrophy, is described in this review. This is an example of the experimentally testable hypotheses that can result from such detailed and exhaustive analyses. Secondly, the torrents of data from high-throughput studies will need to be made more accessible to all using web-based resources that integrate and digest complementary data types. The internet sites that showcase the human genome sequence are blazing a new trail. Ultimately, the success of genome sequencing and functional genomics will be measured not by the quantity and accuracy of raw data generated, but how rapidly they can be harnessed to span the divide between genotype and phenotype.

Alleles↗

Compass of 47,787 cattle ESTs.

Comparative Mapping by Annotation and Sequence Similarity (COMPASS) has been demonstrated to be an effective approach for predicting the chromosome location of expressed sequence tags (ESTs) and other sequence-based markers on the basis of comparative mapping information. Herein, we describe the development and use of a computer program to execute the COMPASS strategy en masse. The program was used to identify orthologs and predict map locations of 47,787 cattle ESTs. Among these 47,787 ESTs, 30,097 had significant matches with sequences in the human UniGene database and 21,311 were annotated with human GB4 radiation hybrid mapping data. These sequences are contained within 9,956 and 6,295 individual human UniGene clusters, respectively. The putative human orthologs and predicted cattle chromosome locations of the 21,311 cattle ESTs with GB4 mapping data are provided in this report as a resource for the research community.

Animals↗

Generation of expressed sequence tags from a normalized porcine skeletal muscle cDNA library.

Recent developments in microarray technologies permit scientists to analyze expression of thousands of genes simultaneously in diverse biological systems. In an effort to provide integrated resources for application of microarray technologies to studies of skeletal muscle growth and development in swine, we have constructed a normalized cDNA library from porcine skeletal muscle. The effectiveness of normalization was evaluated by DNA sequencing of clones randomly picked from the library before and after normalization, and also by Southern blot hybridization using probes representing abundant transcripts. Our data suggests that the normalization procedure successfully reduced the highly abundant cDNA species in the normalized library. To date, a total of 782 EST (expressed sequence tag) sequences have been generated from this normalized library (687 ESTs) and the original library (95 ESTs). The sequence information of these ESTs plus their BLAST results has been made available through a web accessible database (http://nbfgc.msu.edu). Cluster analysis of the data indicates that a total of 742 unique sequences are present in this collection. BLASTN search of the 742 EST sequences against the public database (dbEST) revealed that 139 had no significant matches (E-value > 10(-15)) to porcine ESTs already entered in the database, suggesting the possibility of their specific expression in porcine skeletal muscle. Generation of non-redundant ESTs from this library will allow us to construct cDNA microarrays for identification of gene expression changes that regulate muscle growth and affect meat quality in swine.

Animals↗

Amplification and cloning of the full-length genome of Japanese encephalitis virus by a novel long RT-PCR protocol in a cosmid vector.

A novel and rapid full-length long RT-PCR technique was established to produce genome-length cDNA from Japanese encephalitis virus. In vitro positive strand RNA transcripts from the full-length RT-PCR amplicon including T7 promoter sequences at the 5' end were proved to be infectious upon transfection. The full-length amplicon without the T7 promoter was cloned into a cosmid vector under the SP6 promoter. This stable clone, designated as pJEV-1, was characterised further and used as a genetic resource for generation of infectious RNA transcripts, gene manipulation and expression. The 'run-off' transcript from pJEV-1 with vector sequences at the either end of the insert was not infectious, but transcripts of the full-length PCR amplicon from pJEV-1 produced infectious virus upon transfection. A transcript with an engineered Xho I site from two ligated PCR fragments amplified from pJEV-1 was also infectious. Furthermore, the coding region for premembrane and envelope proteins (preM-E) from pJEV-1 was subcloned and expressed in the Drosophila Expression System. The expressed protein showed correct molecular size and was immunoreactive with a Japanese encephalitis virus E protein-specific antibody. The derivation of genome-size cDNA from Japanese encephalitis virus and the stable clone will facilitate investigation of this virus and elucidation of its pathogenesis at the molecular level.

Animals↗

Generation and analysis of end sequence database for T-DNA tagging lines in rice.

We analyzed 6749 lines tagged by the gene trap vector pGA2707. This resulted in the isolation of 3793 genomic sequences flanking the T-DNA. Among the insertions, 1846 T-DNAs were integrated into genic regions, and 1864 were located in intergenic regions. Frequencies were also higher at the beginning and end of the coding regions and upstream near the ATG start codon. The overall GC content at the insertion sites was close to that measured from the entire rice (Oryza sativa) genome. Functional classification of these 1846 tagged genes showed a distribution similar to that observed for all the genes in the rice chromosomes. This indicates that T-DNA insertion is not biased toward a particular class of genes. There were 764, 327, and 346 T-DNA insertions in chromosomes 1, 4 and 10, respectively. Insertions were not evenly distributed; frequencies were higher at the ends of the chromosomes and lower near the centromere. At certain sites, the frequency was higher than in the surrounding regions. This sequence database will be valuable in identifying knockout mutants for elucidating gene function in rice. This resource is available to the scientific community at http://www.postech.ac.kr/life/pfg/risd.

Base Sequence↗

MetaFam: a unified classification of protein families. I. Overview and statistics.

MOTIVATION: Protein sequence classification is becoming an increasingly important means of organizing the voluminous data produced by large-scale genome sequencing projects. At present, there are several independent classification methods. To aid the general classification effort, we have created a unified protein family resource, MetaFam. MetaFam is a protein family classification built upon 10 publicly-accessible protein family databases (Blocks + DOMO, Pfam, PIR-ALN, PRINTS, PROSITE, ProDom, PROTOMAP, SBASE, and SYSTERS). MetaFam's family 'supersets', as we call them, are created automatically using set-theory to compare families among the databases. Families of one database are matched to those in another when the intersection of their members exceeds all other possible family pairings between the two databases. Pairwise family matches are drawn together transitively to create a new list of protein family supersets. RESULTS: MetaFam family supersets have several useful features: (1) each superset contains more members than the families from which it is composed, because each of the component family databases only works with a subset of our full non-redundant set of proteins; (2) conflicting assignments can be pinpointed quickly, since our analysis identifies individual members that are in conflict with the majority consensus; (3) family descriptions that are absent from automated databases can frequently be assigned; (4) statistics have been computed comparing domain boundaries, family size distributions, and overall quality of MetaFam supersets; (5) the supersets have been loaded into a relational database to allow for complex queries and visualization of the connections among families in a superset and the consensus of individual domain members; and (6) the quality of individual supersets has been assessed using numerous quantitative measures such as family consistency, connectedness, and size. We anticipate this new resource will be particularly useful to genomic database curators.

Data Interpretation, Statistical↗

IMGT-ONTOLOGY and IMGT databases, tools and Web resources for immunogenetics and immunoinformatics.

The international ImMunoGeneTics information system (IMGT; http://imgt.cines.fr), is a high quality integrated information system specialized in immunoglobulins (IG), T cell receptors (TR), major histocompatibility complex (MHC), and related proteins of the immune system (RPI) of human and other vertebrates, created in 1989, by the Laboratoire d'ImmunoGénétique Moléculaire (LIGM; Université Montpellier II and CNRS) at Montpellier, France. IMGT provides a common access to standardized data which include nucleotide and protein sequences, oligonucleotide primers, gene maps, genetic polymorphisms, specificities, 2D and 3D structures. IMGT consists of several sequence databases (IMGT/LIGM-DB, IMGT/MHC-DB, IMGT/PRIMER-DB), one genome database (IMGT/GENE-DB) and one 3D structure database (IMGT/3Dstructure-DB), interactive tools for sequence analysis (IMGT/V-QUEST, IMGT/JunctionAnalysis, IMGT/PhyloGene, IMGT/Allele-Align), for genome analysis (IMGT/GeneSearch, IMGT/GeneView, IMGT/LocusView) and for 3D structure analysis (IMGT/StructuralQuery), and Web resources ("IMGT Marie-Paule page") comprising 8000 HTML pages. IMGT other accesses include SRS, FTP, search by BLAST, etc. By its high quality and its easy data distribution, IMGT has important implications in medical research (repertoire in autoimmune diseases, AIDS, leukemias, lymphomas, myelomas), veterinary research, genome diversity and genome evolution studies of the adaptive immune responses, biotechnology related to antibody engineering (single chain Fragment variable (scFv), phage displays, combinatorial libraries) and therapeutical approaches (grafts, immunotherapy). IMGT is freely available at http://imgt.cines.fr.

Animals↗

Parallel hash-based EST clustering algorithm for gene sequencing.

EST clustering is a simple, yet effective method to discover all the genes present in a variety of species. Although using ESTs is a cost-effective approach in gene discovery, the amount of data, and hence the computational resources required, make it a very challenging problem. Time and storage requirements for EST clustering problems are prohibitively expensive. Existing tools have quadratic time complexity resulting from all against all sequence comparisons. With the rapid growth of EST data we need better and faster clustering tools. In this paper, we present HECT (Hash based EST Clustering Tool), a novel time- and memory-efficient algorithm for EST clustering. We report that HECT can cluster a 10,000 Human EST dataset (which is also used in benchmarking d2_cluster), in 207 minutes on a 1 GHz Pentium III processor which is 36 times faster than the original d2_cluster algorithm. A parallel version of HECT (PECT) is also developed and used to cluster 269,035 soybean EST sequences on IA-32 Linux cluster at National Center for Supercomputing Applications at UIUC. The parallel algorithm exhibited excellent speedup over its sequential counterpart and its memory requirements are almost negligible making it suitable to run virtually on any data size. The performance of the proposed clustering algorithms is compared against other known clustering techniques and results are reported in the paper.

Algorithms↗

IRESdb: the Internal Ribosome Entry Site database.

Internal Ribosome Entry Sites (IRES) are cis-acting RNA sequences able to mediate internal entry of the 40S ribosomal subunit on some eukaryotic and viral messenger RNAs upstream of a translation initiation codon. These sequences are very diverse and are present in a growing list of mRNAs. Novel IRES sequences continue to be added to public databases every year and the list of unknown IRESes is certainly still very large. The IRES database is a comprehensive WWW resource for internal ribosome entry sites and presents currently available general information as well as detailed data for each IRES. It is a searchable, periodically updated collection of IRES RNA sequences. Sequences are presented in FASTA form and hotlinked to NCBI GenBank files. Several subsets of data are classified according to the viral taxon (for viral IRESes), to the gene product function (for cellular IRESes), to the possible cellular regulation or to the trans-acting factor that mediates IRES function. This database is accessible at http://ifr31w3.toulouse.inserm.fr/IRESdatabase/.

Animals↗

GPS@ bioinformatics portal: from network to EGEE grid.

Bioinformatics analysis of data produced by complete genome sequencing projects is one of the major challenges of the current years. Integrating up-to-date databanks and relevant algorithms is a clear requirement of such analysis. Grid computing would be a viable solution to distribute data, algorithms, computing and storage resources for Genomics. Providing bioinformaticians with a good interface to grid infrastructure, such as the one provided by the EGEE European project, is also a challenge to take up. The GPS@ web portal, "Grid Protein Sequence Analysis", aims to provide such a user-friendly interface for these grid genomic resources on the EGEE grid.

Computational Biology↗

Construction and characterization of a NotI linking library from human chromosome region 1q25-qter.

Chromosome 1q25-qter-specific NotI linking clones have been isolated from a NotI linking library that was constructed using DNA from MCH206.1 somatic cell hybrid cells. These cells contain chromosome 1q25-qter translocated to human chromosome Xp22 as the only human genetic material in mouse background. Sixty-eight NotI linking clones have been mapped by a combination of fluorescence in situ hybridization and R-banding to cytogenetic bands on the long arm of chromosome 1. The relative order of 11 NotI clones and their relation to known chromosome 1 markers have also been determined in 1q32 and 1q41, where the genes of Van der Woude and Usher syndrome type IIa have been previously mapped: cen-chr1.14-chr1.79-chr1.56-chr1.11-chr1.9 5- chr1.58 (chr1.74)-D1S70-chr1.15-chr1.82 (chr1.143)-chr1.62-D1S81-tel. The 1q32- and 1q41-specific NotI linking clones were sequenced in the vicinity of the NotI site. They were analyzed in terms of nucleotide composition, G+C content, frequency of CpG dinucleotides, and protein coding potentials. Most of the 1q32-q41-specific NotI linking clones were derived from CpG islands. Sequences of three NotI linking clones proved to be identical with known genes. Six of the remaining eight had a high potential for coding regions and shared short homologous regions with sequences in the GenBank database. The NotI linking clones and the identified CpG islands will provide valuable resources for constructing a long-range restriction map of chromosome 1q25-q44 and for the eventual isolation of disease genes of Van der Woude syndrome (1q32-q41) and Usher syndrome type IIa (1q41).

Animals↗