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Retrovirus Resources
Information about retroviruses and specialized tools for the analysis of retroviral proteins and genomes. The tools on this page aid in the identification, study and analysis of retroviral genomes and proteins. For instance, the HIV, human interaction database catalogs and organizes published data in peer-reviewed journals regarding HIV-1 and human protein interactions. Several links external to NCBI are also included for the purposes of education, research and health-related matters. These include links to the CDC, the Retroviruses textbook and other informative sites.
연관 데이터
Viral Genotyping Tool
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This tool helps identify the genotype of a viral sequence.
Influenza Virus Resource
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Provides researchers with a growing collection of virus sequences essential to the identification of the genetic determinants of influenza pathogenicity.
Genome
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This resource organizes NCBI information, resources, data, and tools and utilities on genomes including sequences, maps, chromosomes, assemblies, and annotations. Sequence and map data from the whole genomes of organisms. The genomes represent both completely sequenced organisms and those for which sequencing is in progress.
Virus Variation
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Extension of the Influenza Virus Resource to other organisms, providing an interface to download sequence sets of selected viruses; analysis tools, including virus-specific BLAST pages; and genome annotation pipelines (in progress).
인포보스 - 항바이러스제 후보 정보
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● 데이터 키워드 - 자생종, 유전체, 유전자 ● 데이터 상품 정보 - 본 상품은 자생종 유전체 분석을 통해 얻어진 항바이러스제 후보 물질 정보를 제공합니다. ● 컬럼(속성) 정보 - fasta format ● 활용 예제 - 본 데이터 상품을 활용하여 사용자는 다음과 같은 정보를 확인할 수 있습니다. 1) 신약 및 기능성 식품, 화장품 개발 관련 분야 기초자료 활용 2) 중, 장기적 바이러스 제제 개발 활용 자료 ● 기간 및 범위 - 2020년 7월 ~ 2020년 12월 [원본 데이터](https://www.bigdata-forest.kr/product/GNM300401)는 로그인 후 구매하여 다운로드 하십시오.
농림축산식품부 농림축산검역본부 동물 질병 정보
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['유전자원은행, 동물질병정보, 동물질병 등 동물질병정보를 나타냅니다. 또한 해당질병이 발생한 원인(바이러스, 세균)에 대해서도 알 수 있는 자료입니다.']
질병관리청 국립감염병연구소 대표 누리집 기술이전정보
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감염병의 예방 및 신속한 대응을 위한 극복 수단과 과학적 근거를 마련하기 위해, 국립보건연구원 소속 감염병연구센터를 확대·개편하여 설립된 감염병 전문 국가 연구기관으로 관련 기술이전정보
NCBI Virus
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NCBI Virus is an integrative, value-added resource designed to support retrieval, display and analysis of a curated collection of virus sequences and large sequence datasets. Its goal is to increase the usability of viral sequence data archived in GenBank and other NCBI repositories. This resource includes resources previously included in HIV-1, Human Protein Interaction Database, Influenza Virus Resource, and Virus Variation.
Evolution and phylogeny of insect endogenous retroviruses
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Background The genome of invertebrates is rich in retroelements which are structurally reminiscent of the retroviruses of vertebrates. Those containing three open reading frames (ORFs), including an env-like gene, may well be considered as endogenous retroviruses. Further support to this similarity has been provided by the ability of the env-like gene of DmeGypV (the Gypsy endogenous retrovirus of Drosophila melanogaster) to promote infection of Drosophila cells by a pseudotyped vertebrate retrovirus vector. Results To gain insights into their evolutionary story, a sample of thirteen insect endogenous retroviruses, which represents the largest sample analysed until now, was studied by computer-assisted comparison of the translated products of their gag, pol and env genes, as well as their LTR structural features. We found that the three phylogenetic trees based respectively on Gag, Pol and Env common motifs are congruent, which suggest a monophyletic origin for these elements. Conclusions We showed that most of the insect endogenous retroviruses belong to a major clade group which can be further divided into two main subgroups which also differ by the sequence of their primer binding sites (PBS). We propose to name IERV-K and IERV-S these two major subgroups of Insect Endogenous Retro Viruses (or Insect ERrantiVirus, according to the ICTV nomenclature) which respectively use Lys and Ser tRNAs to prime reverse transcription.
Genome Workbench
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An integrated application for viewing and analyzing sequence data. With Genome Workbench, you can view data in publically available sequence databases at NCBI, and mix these data with your own data.