《基因组研究中的计算法》

《基因组研究中的计算法》（Computationalmethodsingenomeresearc）由SandorSuhai编著,1994年Plenum出版社出版,227页。该书有下列章节：计算科学能否跟上基因绘图和测序的技术要求;人体基因组规划信息学和实验;科学应用的数据处理工具;构架、状态和基因组应用;ACEDB基因组数据库;综合基因组数据库（IGD）;遗传绘图概况;相关数据库中代表性基因组绘图;染色体19综合绘图Livermore实用方法;搜寻蛋白质顺序数据库-是否最适宜;搜寻生物顺序数据库的算法进展;基因组和蛋白质顺序模式识别：统计有效性问题概况;进化系谱树的…     

基因组数据库简介

本文以北京大学生物信息中心安装的3个国际著名基因组数据库GDB、GenoList和Ensembl为基础,介绍目前常用的基因组数据库,包括这些数据数据库的内容、数据格式、使用方法,以及用于构建上述数据库的数据库管理系统。 Abstract:A brief introduction to the genome databases GDB,GenoList and Ensembl is given.These databases,mirrored and maintained at the Centre of Bioinformatics,Peking University,provide useful information for genome research.     

酵母:一种模式生物

1996年 4月 ,在国际互联网的公共数据库中公布了酿酒酵母 (以下简称酵母 )的完整基因组顺序 ,它被称为遗传学上的里程碑。因为首先 ,这是人们第一次获得真核生物基因组的完整核苷酸序列 ;其次 ,这是人们第一次获得一种易于操作的实验生物系统的完整基因组。酵母是一种较好的模式生物 ,通过对其基因组的深入研究将有助于人们了解高等真核生物基因组的结构和功能。酿酒酵母作为一种模式生物在实验系统研究方面具有许多内在的优势。首先 ,酵母是一种单细胞生物 ,能够在基本培养基上生长 ,使得实验者能够通过改变物理或化学环境完全控制其生长。…     

生命与健康大数据中心资源

生命与健康多组学数据是生命科学研究和生物医学技术发展的重要基础。然而,我国缺乏生物数据管理和共享平台,不但无法满足国内日益增长的生物医学及相关学科领域的研究发展需求,而且严重制约我国生物大数据整合共享与转化利用。鉴于此,中国科学院北京基因组研究所于2016年初成立生命与健康大数据中心(BIG Data Center, BIGD),围绕国家人口健康和重要战略生物资源,建立生物大数据管理平台和多组学数据资源体系。本文重点介绍BIGD的生命与健康大数据资源系统,主要包括组学原始数据归档库、基因组数据库、基因组变异数据库、基因表达数据库、甲基化数据库、生物信息工具库和生命科学维基知识库,提供生物大数据汇交、整合与共享服务,为促进我国生命科学数据管理、推动国家生物信息中心建设奠定重要基础。     

微生物基因组注释系统MGAP

利用生物信息学方法和工具开发了微生物基因组注释系统（Microbial genome annotation package, MGAP）,并用于蓝细菌PCC7002的基因组注释。该系统由基因组注释系统和基于Web的用户接口程序两部分组成。基因组注释系统整合多个基因识别、功能预测和序列分析软件;以及蛋白质序列数据库、蛋白质资源信息系统和直系同源蛋白质家族数据库等。用户接口程序包括基因组环状图展示、基因和开放读码框在染色体上的分布图,以及注释信息检索工具。该系统基于PC微机和Linux操作系统,用MySQL作数据库管理系统、用Apache作Web服务器程序,用Perl脚本语言编写应用程序接口,上述软件均可免费获得。     

豆科模式植物——蒺藜苜蓿

蒺藜苜蓿（Medicago truncatula）是国际上广泛用于研究仅属于豆科植物或者与之有关的某些生物过程的豆科模式植物,这些生物过程无法采用模式植物拟南芥进行研究。蒺藜苜蓿的基因组较小,二倍体,遗传学简单,遗传转化相对容易,再生时间较短。2003年,国际间合作的蒺藜苜蓿基因组测序计划已经启动。文章概述了蒺藜苜蓿基因组测序、生物信息数据库、遗传转化系统以及功能基因组研究工具的研究进展。     

新疆天山雪莲转录组注解知识库

新疆天山雪莲(Sasussured involucrata)具有较高的极端低温耐受特性,为低温耐受机制研究提供了一种非常好的模式植物。新疆天山雪莲转录组注解知识库(http://www.shengtingbiology.com/Saussurea KBase/index.jsp)是基于网络数据资源的综合性数据库,由html、Perl、Perl CGI/DBD/DBI、Java和Java Script编程所设计的前端界面和用于数据存取、注释及管理的后端数据库管理系统Postgrel SQL构成。知识库包含基因组数据、转录组原始数据、质量控制数据、GC含量、功能基因序列及注释、功能基因代谢通路、功能基因的注释统计、雪莲与其它物种的转录组或基因组比较分析数据和生物分析软件包等资源。该数据库不仅有利于低温功能基因组学及低温耐受机制研究,而且为冷耐受性状物种的分子育种提供基因资源平台和理论依据。     

基于Internet网生物信息资源特定基因同源新基因克隆策略

随着人类基因组计划的基本完成,各类生物信息学数据库和软件层出不穷,利用Internet网上生物信息资源克隆新基因的策略也得到新的发展。作者在简单介绍网上生物信息资源以及新基因克隆策略的同时,着重对基于EST数据库和基因组数据库特定基因的同源新基因克隆策略进行了详细阐述。     

AeDNA: 水生生物eDNA数据库

环境 DNA (eDNA) 技术是一种生态和生物多样性监测和评价的新手段, 完整和准确的参考序列库是eDNA技术应用于水生生物多样性调查的基础。当前, 不同水生生物eDNA参考序列还存在诸多问题, 如不同类群使用的标记基因不同且资源较为分散, 部分参考序列分类不准确, 以及针对我国各类水体中水生生物eDNA参考序列不多等。针对上述问题, 研究构建了水生生物eDNA数据库(AeDNA, http://aedna.ihb.ac.cn/)。 AeDNA整合了DNA条形码和基因组两种类型参考序列。其中18S、28S、ITS、COΙ、12S、rbcL 等各类DNA条形码60余万条, 涉及2万余种鱼类、1万余种水生植物、1万余种底栖动物、1万余种浮游动物和1万余种浮游植物; 基因组包含线粒体、叶绿体等细胞器基因组6199个及万种鱼类基因组计划和万种原生生物基因组计划所产生的物种基因组。涉及的生境有江、河、湖、海、冰川和温泉等各类水环境, 尤其数据库构建团队贡献的6万余条参考序列, 具有我国丰富的各类水体生境信息。总体来说, AeDNA是一个数据量大、类群覆盖全、准确性高且具有我国水生生物特色的综合性eDNA参考序列库, 是水生态和水生生物多样性监测的重要基础资源。     

KEGG数据库在生物合成研究中的应用

KEGG(Kyoto Encyclopedia of Genes and Genomes)提供了一个操作平台,即以基因组信息(GENES)和化学物质信息(LIGAND)为构建模块,通过代谢网络(PATHWAY)将基因组和生物系统联系起来,然后根据功能等级进行归纳分类(BRITE)。KEGG还为各种组学研究提供相关软件,用于代谢途径重建、遗传分析和化合物比对。作为一个综合数据库,KEGG不仅指导生物燃料、药物和新材料等生物基化学品的合成,而且致力于研究日趋严重的环境问题。系统介绍了KEGG数据库的结构、功能及其相关工具的最新进展,并展望在生物合成中的应用前景。     

MycDB: an integrated mycobacterial database

As part of ongoing efforts to Investigate the molecular biology of the human pathogens in the genus Mycobacterium, a customized database was developed specifically for these organisms and implemented in ACEDB database manager software. The data loaded include the IMMYC Antigen List, details of reagents available from the CDC/WHO Antibody Bank, more than 1 Mb of sequences of mycobacterial genes and proteins from public databases, the physical maps of Mycobacterium leprae and Mycobacterium tuberculosis developed at the institut Pasteur, as well as a subset of the references found in MedLine. The ACEDB software allows both quick and intuitive access to the data and to connections between facts by a simple mouse-driven interface, as well as by more powerful query mechanisms.     

Axeldb: a Xenopus laevis database focusing on gene expression

Axeldb is a database storing and integrating gene expression patterns and DNA sequences identified in a large-scale in situ hybridization study in Xenopus laevis embryos. The data are organised in a format appropriate for comprehensive analysis, and enable comparison of images of expression pattern for any given set of genes. Information on literature, cDNA clones and their availability, nucleotide sequences, expression pattern and accompanying pictures are available. Current developments are aimed toward the interconnection with other databases and the integration of data from the literature. Axeldb is implemented using an ACEDB database system, and available through the web at http://www.dkfz-heidelberg.de/abt0135/axeldb.htm     

Management of Evolving Map Data: Data Structures and Algorithms Based on the Framework Map

A consensus framework map of a chromosome is the single most useful map of the chromosome, because of the amount of information it holds as well as the quality of the supporting data backing the putative order of its objects. We describe data structures and algorithms to assist in framework map maintenance and to answer queries about order and distance on genomic objects. We show how these algorithms are efficiently implemented in a client-server relational database. We believe that our data structures are particularly suitable for databases to support collaborative mapping efforts that use heterogeneous methodologies. We summarize two applications that use these algorithms: CHROMINFO, a database specifically designed for framework map maintenance; and the shared client-server database for the chromosome 12 genome center.     

Popitam: towards new heuristic strategies to improve protein identification from tandem mass spectrometry data

In recent years, proteomics research has gained importance due to increasingly powerful techniques in protein purification, mass spectrometry and identification, and due to the development of extensive protein and DNA databases from various organisms. Nevertheless, current identification methods from spectrometric data have difficulties in handling modifications or mutations in the source peptide. Moreover, they have low performance when run on large databases (such as genomic databases), or with low quality data, for example due to bad calibration or low fragmentation of the source peptide. We present a new algorithm dedicated to automated protein identification from tandem mass spectrometry (MS/MS) data by searching a peptide sequence database. Our identification approach shows promising properties for solving the specific difficulties enumerated above. It consists of matching theoretical peptide sequences issued from a database with a structured representation of the source MS/MS spectrum. The representation is similar to the spectrum graphs commonly used by de novo sequencing software. The identification process involves the parsing of the graph in order to emphasize relevant sections for each theoretical sequence, and leads to a list of peptides ranked by a correlation score. The parsing of the graph, which can be a highly combinatorial task, is performed by a bio-inspired algorithm called Ant Colony Optimization algorithm.     

Development of bioinformatics resources for display and analysis of copy number and other structural variants in the human genome

The discovery of an abundance of copy number variants (CNVs; gains and losses of DNA sequences >1 kb) and other structural variants in the human genome is influencing the way research and diagnostic analyses are being designed and interpreted. As such, comprehensive databases with the most relevant information will be critical to fully understand the results and have impact in a diverse range of disciplines ranging from molecular biology to clinical genetics. Here, we describe the development of bioinformatics resources to facilitate these studies. The Database of Genomic Variants (http://projects.tcag.ca/variation/) is a comprehensive catalogue of structural variation in the human genome. The database currently contains 1,267 regions reported to contain copy number variation or inversions in apparently healthy human cases. We describe the current contents of the database and how it can serve as a resource for interpretation of array comparative genomic hybridization (array CGH) and other DNA copy imbalance data. We also present the structure of the database, which was built using a new data modeling methodology termed Cross-Referenced Tables (XRT). This is a generic and easy-to-use platform, which is strong in handling textual data and complex relationships. Web-based presentation tools have been built allowing publication of XRT data to the web immediately along with rapid sharing of files with other databases and genome browsers. We also describe a novel tool named eFISH (electronic fluorescence in situ hybridization) (http://projects.tcag.ca/efish/), a BLAST-based program that was developed to facilitate the choice of appropriate clones for FISH and CGH experiments, as well as interpretation of results in which genomic DNA probes are used in hybridization-based experiments.     

HOWDY: an integrated database system for human genome research

HOWDY is an integrated database system for accessing and analyzing human genomic information (http://www-alis.tokyo.jst.go.jp/HOWDY/). HOWDY stores information about relationships between genetic objects and the data extracted from a number of databases. HOWDY consists of an Internet accessible user interface that allows thorough searching of the human genomic databases using the gene symbols and their aliases. It also permits flexible editing of the sequence data. The database can be searched using simple words and the search can be restricted to a specific cytogenetic location. Linear maps displaying markers and genes on contig sequences are available, from which an object can be chosen. Any search starting point identifies all the information matching the query. HOWDY provides a convenient search environment of human genomic data for scientists unsure which database is most appropriate for their search.     

Design and realization of an on-line database for multidimensional microscopic images of biological specimens

The BioImage database is a new scientific database for multidimensional microscopic images of biological specimens, which is available through the World Wide Web (WWW). The development of this database has followed an iterative approach, in which requirements and functionality have been revised and extended. The complexity and innovative use of the data meant that technical and biological expertise has been crucial in the initial design of the data model. A controlled vocabulary was introduced to ensure data consistency. Pointers are used to reference information stored in other databases. The data model was built using InfoModeler as a database design tool. The database management system is the Informix Dynamic Server with Universal Data Option. This object-relational system allows the handling of complex data using features such as collection types, inheritance, and user-defined data types. Informix datablades are used to provide additional functionality: the Web Integration Option enables WWW access to the database; the Video Foundation Blade provides functionality for video handling.