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Biology 4900Biology 4900
Biocomputing
Chapter 2Chapter 2
Molecular Databases and Data Analysis
Literature DatabasesLiterature Databases
• Online databases available at CSU– Galileo– JSTOR
• Online databases at other sites– PubMed. If you find a useful article, you can check
PubMed Central to see if it is available online for free.• Where to get articles
– PubMed Central– GIL– Interlibrary loan
DNA RNA
cDNA*ESTsUniGene
phenotype
genomicDNAdatabases
protein sequence databases
protein
Sources of Molecular DataSources of Molecular Data
*Expressed Sequence Tags
Molecular DatabasesMolecular Databases
• Primary Database– Archival - sequences submitted directly from experimental
sequencing results• Very little interpretation• Anyone can submit; accuracy not checked• Examples
– Nucleic Acid: EMBL, DDJB, GenBANK– Protein: Swiss-Prot, PIR, PDB
• Secondary Databases– Curated – sequences are validated/checked and may be
annotated• Refseq (nucleic acids and proteins, but limited to certain
organisms)• TrEMBL, GenPept, Uniprot
Nucleic Acid DatabasesNucleic Acid Databases• Contain:
– Nucleic acid sequences• Chain termination method (Sanger sequencing)
– Used for sequences 100-1000 bp• Whole Genome Shotgun (WGS) Sequencing
– Used for sequences >1000 bp– DNA chopped into little chunks– Sequenced using chain termination method (reads)– Numerous, overlapping reads are collected and assembled
into sequence (computational methods)– Annotations for each sequence
• Putative identification of open reading frames (ORFs = parts of gene that encode protein) in sequence
• Putative intron(excised)/exon(retained) locations• Authors, dates, publication, etc.
GenBank
EMBL DDBJ
International Nucleotide Sequence Database CollaborationInternational Nucleotide Sequence Database Collaboration(Public nucleotide and protein sequence databases)(Public nucleotide and protein sequence databases)
Name: European Molecular Biology Laboratory (EMBL)Location: European Bioinformatics Institute (EBI)
Name: DNA Database of Japan (DDBJ)Location: National Institute of Genetics, Mishima
Daily Info sharing
Name: GenBankLocation: National Institutes of Health, National Center for Biotechnology Information
Daily Info sharing
Daily Info sharing
GenBankGenBank
• As of April 2011, There were approximately 126,551,501,141 bases in 135,440,924 sequence records in the traditional GenBank divisions.
• Read the following paper: http://www.ncbi.nlm.nih.gov/pubmed/21071399• Home Page: http://www.ncbi.nlm.nih.gov/genbank/
Homo sapiens 14.9 billion basesMus musculus 8.9bRattus norvegicus 6.5bBos taurus 5.4bZea mays 5.0bSus scrofa 4.8bDanio rerio 3.1bStrongylocentrotus purpurata 1.4bOryza sativa (japonica) 1.2bNicotiana tabacum 1.2b
GenBank Home PageGenBank Home Page
NCBI ResourcesNCBI Resources
• PubMed• BLAST• OMIM• Taxonom
y Browser• Structure
NCBI key features: PubMedNCBI key features: PubMed• National Library of Medicine's search service
• 21 million citations from MEDLINE & others (as of 2011)
• Links to other online journals
• http://www.ncbi.nlm.nih.gov/pubmed
• Starting point for most research
Literature Searches through PubMedLiterature Searches through PubMed
Use the pull-down menu to access related resources such as Medical Subject Headings (MeSH)
A “how to” pull-down menu links to tutorialsA “how to” pull-down menu links to tutorials
Use “Advanced search” to limit by author, year, Use “Advanced search” to limit by author, year, language, etc.language, etc.
PubMed search strategies
Try the tutorial
Use boolean queries (capitalize AND, OR, NOT)lipocalin AND disease
Try using limits (see Advanced search)
There are links to find Entrez entries and external resources
lipocalin AND disease(504 results)
lipocalin OR disease(2,500,000 results)
lipocalin NOT disease(2,370 results)
1 AND 2
1 OR 2
1 NOT 2
1
1
1
2
2
2
Save Searches, Save Results, Get PapersSave Searches, Save Results, Get Papers
PubMed Author SearchPubMed Author Search
Scholar Google SearchScholar Google Search
• http://scholar.google.com/
• Includes references that may not be found in PubMed
A search from NCBI main page will search:
• the scientific literature; • DNA and protein sequence databases; • 3D protein structure data; • population study data sets; • assemblies of complete genomes
•String searchSearch by author, date, keyword, publication, etc.
NCBI key features NCBI key features
Classroom exercise:Author searchesPaper searchesProtein searches
BLAST is…• Basic Local Alignment Search Tool• NCBI's sequence similarity search tool• supports analysis of DNA and protein databases
NCBI key features: BLASTNCBI key features: BLAST
3CLN
•Online Mendelian Inheritance in Man•Catalog of human genes and genetic disorders
NCBI key features: OMIMNCBI key features: OMIM
• Browser for the major divisions of living organisms (archaea, bacteria, eukaryota, viruses)• Taxonomy information such as genetic codes• Molecular data on extinct organisms• Useful to find a protein or gene from a species
NCBI key features: Taxonomy BrowserNCBI key features: Taxonomy Browser
• Molecular Modelling Database (MMDB)• biopolymer structures obtained from
the Protein Data Bank (PDB)• Cn3D (a 3D-structure viewer)• vector alignment search tool (VAST)
NCBI key features: StructureNCBI key features: Structure
Cn3DCn3D
•A 3D-structure viewer•Must download (ftp://ftp.ncbi.nlm.nih.gov/cn3d/Cn3D-4.3.msi)•Use to align structures identified as similar by VAST
Example: Researching beta globinExample: Researching beta globin
• Beta globin is protein, so it will be found in 3 different types of databases
DNA *RNA Proteins
GenBank dbGSSGenBank dbHTGSGenBank dbSTS
GenBank Entrez GeneGenBank dbESTUniGeneGene Expression Omnibus
Entrez ProteinUniProtPDBSCOPCATH
*Because RNA is unstable, it can be transcribed into complementary DNA (cDNA)
Necessary (yet annoying) DefinitionsNecessary (yet annoying) Definitions
• Sequence Tagged Site (STS): Small DNA fragments with both DNA sequence data and mapping data (genes assigned to chromosomes)
• Expressed Sequence Tags (EST): Partial DNA sequence of a complementary (cDNA) clone– Typically these are randomly-selected cDNA clones
sequenced on a single strand (300-800 bp)– Useful for identifying novel genes– Higher rate of error
http://genome.wellcome.ac.uk/doc_WTD020755.html
UnigeneUnigene
• Unique Gene (Unigene) Project to create gene-oriented clusters by partitioning ESTs into non-redundant sets– http://www.ncbi.nlm.nih.gov/unigene– Ultimately there should be only 1 cluster per gene– Usually more than 1 due to errors– Types of errors
• 2 or more clusters may represent different parts of the same gene• Sequence errors• Cloning artifacts (DNA transcribed during creation of cDNA that
doesn’t correspond to authentic transcript)
EST’s
Unigene Cluster
http://www.ncbi.nlm.nih.gov/unigene
UnigeneUnigene
GenBank FlatfileGenBank Flatfile• A format for organizing genomic sequence data. Includes the following:• Sequence and annotations• Header
– Locus name or accession number: unique to sequence description– Size: number of nucleotide bases or amino acid residues– Molecule: DNA, RNA, strandedness (ds, ss), and type of RNA or DNA– Genbank division code: 18 divisions (PRI = primate, PLN = plant, BAC = bacterial, etc.)– Date of last modification
• Definition Line: brief description of sequence (e.g. source organism, protein/gene name, function)
• Accession: unique identifier for a record• Version
– May be more than one accession– Record modification (accession.1; accession.2)– GI: is specific to version; may be more than one
• Keywords• Source: organism or clone description• Reference: publications that discuss data reported• Authors and Journal publication info• PubMed identifier: link to sequence record (abstract)• Features: vary (chromosomal info., coding info, protein id, % of each nucleotide)• Sequence Data
Jump to example
What is an accession number?What is an accession number?
An accession number is label that is used to identify a sequence. It is a (unique) string of letters and/or numbers that corresponds to a molecular sequence.
Examples (all for retinol-binding protein, RBP4):
X02775 GenBank genomic DNA sequenceNT_030059 Genomic contig (overlapping DNA fragments)Rs7079946 dbSNP (single nucleotide polymorphism)
N91759.1 An expressed sequence tag (1 of 170)NM_006744 RefSeq DNA sequence (from a transcript)
NP_007635 RefSeq proteinAAC02945 GenBank proteinQ28369 SwissProt protein1KT7 Protein Data Bank structure record
protein
DNA
RNA
NCBI’s important RefSeq project: best NCBI’s important RefSeq project: best representative sequencesrepresentative sequences
RefSeq (accessible via the main page of NCBI)provides an expertly curated accession number thatcorresponds to the most stable, agreed-upon “reference”version of a sequence.
RefSeq identifiers include the following formats:
Complete genome NC_######Complete chromosome NC_######Genomic contig NT_######mRNA (DNA format) NM_###### e.g. NM_006744Protein NP_###### e.g. NP_006735
UniGene Name Search: OncomodulinUniGene Name Search: Oncomodulin
All results listed
Allows filtering
UniGene Name Search: Select Human OncomodulinUniGene Name Search: Select Human Oncomodulin
• 4 Expressed Sequence Tags from 1 complementary DNA library• Identifies chromosome and map position on chromosome• Compares cluster transcripts with refseq proteins
UniGene Name Search: Select Human OncomodulinUniGene Name Search: Select Human Oncomodulin
Click on link for menu of other links:Conserved domains
Gene summaryProtein sequence
Clicking on Protein sequence link then takes you to predicted protein sequence file (NP_006179.2)
UniGene Name Search: Select Human OncomodulinUniGene Name Search: Select Human Oncomodulin
12
3
4
Once here, you can:1.Open FASTA file2.Run BLAST3.Identify and view conserved domains4.See related proteins
Access to sequences: Gene at NCBIAccess to sequences: Gene at NCBI
Gene is a great starting point: it collectskey information on each gene/protein from major databases. It covers all major organisms.
Example: RefSeq provides a curated, optimal accession number for each DNA (NM_000518 for beta globin DNA corresponding to mRNA) or protein (NP_000509)
These references should be more reliable data
Gene Name Search: OncomodulinGene Name Search: Oncomodulin
Returns list of gene entries for oncomodulin for different organismsClick on a highlighted link to see details
Gene Name Search: Select Human OncomodulinGene Name Search: Select Human Oncomodulin
Summary of all gene information, including mapping (when available). Note that this sequence has been validated as a RefSeq.Scrolling down, you can find link to protein data through UniProt.
Gene Name Search: Link to Oncomodulin ProteinGene Name Search: Link to Oncomodulin Protein
Protein Name Search: OncomodulinProtein Name Search: Oncomodulin
Notice that I filtered this search so that results show only human oncomodulin
You can change the display (as shown)…
FASTA format:versatile, compact with one header line
followed by a string of nucleotides or amino acids in the single letter code
Comparison of Gene to other resourcesComparison of Gene to other resources
Gene: collects key information on each gene/protein from major databases. It covers all major organisms.
UniGene: Database with information on where in a body, when in development, and how abundantly a transcript is expressed
HomoloGene: Gathers information on sets of related proteins based on common genetic ancestry.
Homologene Name Search: OncomodulinHomologene Name Search: Oncomodulin
Provides list of homologous
(related) genes
Homologene Name Search: OncomodulinHomologene Name Search: Oncomodulin
Shows conserved domains of protein sequences. If you click on graphic,
takes you to summary of
domain/family information.
ExPASy to access protein and DNA sequencesExPASy to access protein and DNA sequences
• ExPASy (Expert Protein Analysis System) sequence retrieval system
• Visit http://www.expasy.ch/ • Similar to Entrez for NCBI
Example: Search for calmodulin
Jump to Prosite
UniProt: a centralized protein database (uniprot.org)
This is separate from NCBI, and interlinked.
UniProt: CalmodulinUniProt: Calmodulin
• Search Results for bovine calmodulin (P62157)
Protein Secondary Structure: PDBSum (EMBL-EBI)Protein Secondary Structure: PDBSum (EMBL-EBI)
•http://www.ebi.ac.uk/pdbsum/
•Either enter PDB file or can load new/existing sequence
ExPASy: vast proteomics resources (www.expasy.ch)
Genome BrowsersGenome Browsers
Genomic DNA is organized in chromosomes. Genome browsers display ideograms (pictures) of chromosomes, with user-selected “annotation tracks” that display many kinds of information.
The two most essential human genome browsers are at Ensembl and UCSC. We will focus on UCSC (but the two are equally important). The browser at NCBI is not commonly used.
clickhuman
Ensembl genome browser (www.ensembl.org)
enterbeta globin
Ensembl output for beta globin includes views of chromosome 11 (top), the region (middle), and a detailed view (bottom).
There are various horizontal annotation tracks.
The UCSC Genome BrowserThe UCSC Genome Browser
• This browser’s focus is on humans and other eukaryotes
• you can select which tracks to display (and how much information for each track)
• tracks are based on data generated by the UCSC team and by the broad research community
• you can create “custom tracks” of your own data! Just format a spreadsheet properly and upload it
• The Table Browser is equally important as the more visual Genome Browser, and you can move between the two
[1] Visit http://genome.ucsc.edu/, click Genome Browser
[2] Choose organisms, enter query (beta globin), hit submit
[4] On the UCSC Genome Browser:--choose which tracks to display
Protein DatabasesProtein Databases
• What do they contain?– Amino acid sequences
• Primary sequence– Direct submissions - protein sequencing– SWISS-PROT, PIR
• Secondary sequence– Translations - putative proteins resulting from modifying (i.e.
intron splicing) nucleic acid sequence– GenPept, TrEMBL
• Structure– Protein Data Bank
– Annotations• Function, domains, etc.
SWISS-PROTSWISS-PROT• Created by Amos Bairoch in 1986 at the Department of
Medical Biochemistry in Geneva• Maintained by the Swiss Institute of Bio-informatics (SIB) and
funded by GeneBio• Few redundancies• Direct submission (from sequencing, not translation)
• PIR (The Protein Information Resource) was created by M.O. Dayhoff in 1965
• Maintained by many• In 2004, joined with other databases (Swiss-Prot and TrEMBL)
to become part of the UniProt consortium
PIRPIR
Protein Data BankProtein Data Bank
• Archive of 3-D structural data of biological macromolecules
• Based on experimental data• Managed by the Research
Collaboratory for Structural Bioinformatics (RCSB)– Rutgers & UCSD
• As of January 11, 2012 contained 78477 structures
• ~ 5000 membrane proteins
http://www.rcsb.org/pdb/statistics/contentGrowthChart.do?content=total&seqid=100
PDB: Source of protein sequence and structure dataPDB: Source of protein sequence and structure data