an introduction to biological databases

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An introduction to biological databases MCB, Janv 2003 Yes, if you train quickly, you can create a new database of databases, but first eat your dinner !

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An introduction to biological databases. Yes, if you train quickly, you can create a new database of databases, but first eat your dinner !. MCB, Janv 2003. What is a database ?. A collection of structured searchable (index) -> table of contents - PowerPoint PPT Presentation

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Page 1: An introduction to  biological databases

An introduction to biological databases

MCB, Janv 2003

Yes, if you train quickly, you can create a new database of

databases, but first eat your dinner !

Page 2: An introduction to  biological databases

What is a database ? A collection of

structured searchable (index) -> table of contents

updated periodically (release) -> new edition

cross-referenced (hyperlinks) -> links with other db

data Includes also associated tools (software)

necessary for db access/query, db updating, db information insertion, db information deletion….

Data storage/ressource management: flat files, relational databases, objet oriented, …

Page 3: An introduction to  biological databases

Why biological databases ?

Exponential growth in biological data.

Data (genomic sequences, 3D structures, 2D gel analysis, MS analysis, Microarrays….) are no longer published in a conventional manner, but directly submitted to databases.

Essential tools for biological research.

Page 4: An introduction to  biological databases

Distribution of databases

Books, articles 1968 -> 1985 Computer tapes 1982 ->1992 Floppy disks 1984 -> 1990 CD-ROM 1989 -> ? FTP 1989 -> ? On-line services 1982 -> 1994 WWW 1993 -> ? DVD 2001 -> ?

Page 5: An introduction to  biological databases

Some statistics More than 1000 different ‘biological’ databases

Variable size: <100Kb to >10Gb DNA: > 10 Gb Protein: 1 Gb 3D structure: 5 Gb Other: smaller

Update frequency: daily to annually

Usually accessible through the web (free !?) Amos’ links: www.expasy.org/alinks.html Biohunt: http://www.expasy.org/BioHunt/ Google: http://www.google.com/

Page 6: An introduction to  biological databases

Categories of databases for Life Sciences

Sequences (DNA, protein) Genomics Mutation/polymorphism Protein domain/family (----> tools)

Proteomics (2D gel, Mass Spectrometry) 3D structure Metabolism Bibliography ‘Others’ (Microarrays, Protein protein

interaction…)

Page 7: An introduction to  biological databases

Sequence databases

1. DNA/RNA2. Proteins

Page 8: An introduction to  biological databases

Ideal minimal content of a sequence database entry

Sequences !! Accession number (AC) (unique identifier)

Taxonomic data References ANNOTATION/CURATION Keywords Cross-references Documentation

Page 9: An introduction to  biological databases

Sequence database : example

ID EPO_HUMAN STANDARD; PRT; 193 AA.AC P01588; Q9UHA0; Q9UEZ5; Q9UDZ0;DT 21-JUL-1986 (Rel. 01, Created)DT 21-JUL-1986 (Rel. 01, Last sequence update)DT 20-AUG-2001 (Rel. 40, Last annotation update)DE Erythropoietin precursor.GN EPO.OS Homo sapiens (Human).OC Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi;OC Mammalia; Eutheria; Primates; Catarrhini; Hominidae; Homo.OX NCBI_TaxID=9606;RN [1]RP SEQUENCE FROM N.A.RX MEDLINE=85137899; PubMed=3838366;RA Jacobs K., Shoemaker C., Rudersdorf R., Neill S.D., Kaufman R.J.,RA Mufson A., Seehra J., Jones S.S., Hewick R., Fritsch E.F.,RA Kawakita M., Shimizu T., Miyake T.;RT "Isolation and characterization of genomic and cDNA clones of humanRT erythropoietin.";RL Nature 313:806-810(1985).….CC -!- FUNCTION: ERYTHROPOIETIN IS THE PRINCIPAL HORMONE INVOLVED IN THECC REGULATION OF ERYTHROCYTE DIFFERENTIATION AND THE MAINTENANCE OF ACC PHYSIOLOGICAL LEVEL OF CIRCULATING ERYTHROCYTE MASS.CC -!- SUBCELLULAR LOCATION: SECRETED.CC -!- TISSUE SPECIFICITY: PRODUCED BY KIDNEY OR LIVER OF ADULT MAMMALSCC AND BY LIVER OF FETAL OR NEONATAL MAMMALS.CC -!- PHARMACEUTICAL: Available under the names Epogen (Amgen) andCC Procrit (Ortho Biotech).…DR EMBL; X02158; CAA26095.1; -.DR EMBL; X02157; CAA26094.1; -.DR EMBL; M11319; AAA52400.1; -.DR EMBL; AF053356; AAC78791.1; -.DR EMBL; AF202308; AAF23132.1; -.DR EMBL; AF202306; AAF23132.1; JOINED.….

KW Erythrocyte maturation; Glycoprotein; Hormone; Signal; Pharmaceutical.

SWISS-PROT (protein db) (flat file)

Reference

Taxonomy

Annotations(comments)

Keywords

Cross-references

Accession number

Page 10: An introduction to  biological databases

Sequence database: example (cont.)

FT SIGNAL 1 27FT CHAIN 28 193 ERYTHROPOIETIN.FT PROPEP 190 193 MAY BE REMOVED IN PROCESSED PROTEIN.FT DISULFID 34 188FT DISULFID 56 60FT CARBOHYD 51 51 N-LINKED (GLCNAC...).FT CARBOHYD 65 65 N-LINKED (GLCNAC...).FT CARBOHYD 110 110 N-LINKED (GLCNAC...).FT CARBOHYD 153 153 O-LINKED (GALNAC...).FT VARIANT 131 132 SL -> NF (IN AN HEPATOCELLULARFT CARCINOMA).FT /FTId=VAR_009870.FT VARIANT 149 149 P -> Q (IN AN HEPATOCELLULAR CARCINOMA).FT /FTId=VAR_009871.FT CONFLICT 40 40 E -> Q (IN REF. 1; CAA26095).FT CONFLICT 85 85 Q -> QQ (IN REF. 5).FT CONFLICT 140 140 G -> R (IN REF. 1; CAA26095).**** ################# INTERNAL SECTION ##################**CL 7q22;SQ SEQUENCE 193 AA; 21306 MW; C91F0E4C26A52033 CRC64; MGVHECPAWL WLLLSLLSLP LGLPVLGAPP RLICDSRVLE RYLLEAKEAE NITTGCAEHC SLNENITVPD TKVNFYAWKR MEVGQQAVEV WQGLALLSEA VLRGQALLVN SSQPWEPLQL HVDKAVSGLR SLTTLLRALG AQKEAISPPD AASAAPLRTI TADTFRKLFR VYSNFLRGKL KLYTGEACRT GDR//

Sequence

Annotations(features)

Page 11: An introduction to  biological databases

Sequence database: example

…a SWISS-PROT entry, in fasta format:

>sp|P01588|EPO_HUMAN ERYTHROPOIETIN PRECURSOR - Homo sapiens (Human).MGVHECPAWLWLLLSLLSLPLGLPVLGAPPRLICDSRVLERYLLEAKEAENITTGCAEHCSLNENITVPDTKVNFYAWKRMEVGQQAVEVWQGLALLSEAVLRGQALLVNSSQPWEPLQLHVDKAVSGLRSLTTLLRALGAQKEAISPPDAASAAPLRTITADTFRKLFRVYSNFLRGKLKLYTGEACRTGDR

Page 12: An introduction to  biological databases

Database 1: nucleotide sequences

The 3 main nucleic acid sequence databases are EMBL (Europe)/GenBank (USA) /DDBJ (Japan)

EMBL: since 1982

Specialized databases for the different types of RNAs (i.e. tRNA, rRNA, tm RNA, uRNA, etc…)

3D structure (DNA and RNA) - PDB

Others: Aberrant splicing db; Eukaryotic promoter db (EPD); RNA editing sites, Multimedia Telomere Resource ……

Page 13: An introduction to  biological databases

EMBL/GenBank/DDBJ These 3 db contain mainly the same informations

within 2-3 days (few differences in the format and syntax)

Contribution: EMBL 10 %; GenBank 73 %; DDBJ 17 % Serve as archives containing all sequences (single

genes, ESTs, complete genomes, etc.) derived from: Genome projects (> 80 % of entries) Sequencing centers Individual scientists ( 15 % of entries) Patent offices (i.e. European Patent Office, EPO)

Non-confidential data are exchanged daily Currently: 18 x106 sequences, ~30 x109 bp; Sequences from > 50’000 different species;

Page 14: An introduction to  biological databases

The tremendous increase in nucleotide sequences

EMBL data…first increase in data due to the PCR development…

1980: 80 genes fully sequenced !human

human

mouse

High throughput genomes (HTG)

mouse

human

rat

Page 15: An introduction to  biological databases

EMBL/GenBank/DDBJ Heterogeneous sequence qualities and length: ESTs,

genomes, variants, fragments… Sequence sizes:

max 350’000 bp /entry (! genomic sequences*, overlapping)

min 10 bp /entry Archive: nothing goes out -> highly redundant ! full of errors: in sequences, in annotations, in CDS

attribution…. no consistency of annotations; most annotations are

done by the submitters; heterogeneity of the quality and the completion and updating of the informations

*entries contain only the assembly data

Page 16: An introduction to  biological databases

EMBL/GenBank/DDBJ Unexpected information you can find in these db:

FT source 1..124FT /db_xref="taxon:4097"FT /organelle="plastid:chloroplast"FT /organism="Nicotiana tabacum"FT /isolate="Cuban cahibo cigar, gift from President FidelFT Castro"

Or: FT source 1..17084 FT /chromosome="complete mitochondrial genome" FT /db_xref="taxon:9267" FT /organelle="mitochondrion" FT /organism="Didelphis virginiana" FT /dev_stage="adult" FT /isolate="fresh road killed individual" FT /tissue_type="liver"

Page 17: An introduction to  biological databases

Problem:Redundancy = makes Blasts searches of the complete databases useless for detecting anything behond the closest homologs.

Solutions:• assemblies of genomic sequence data (contigs) and corresponding RNA and protein sequences -> dataset of genomic contigs, RNAs and proteins

• annotation of genes, RNAs, proteins, variation (SNPs), STS markers, gene prediction, nomenclature and chromosomal location.

• compute connection to other resources (cross-references)

Examples: RefSeq/Locus link (drosophila, human, mouse, rat and zebrafish), TIGR (bacteria and plants), EnsEMBL (Eukaryota)…

Nucleotide databases and

« associated » genomic projects/databases

Page 18: An introduction to  biological databases

Database 2: protein sequences

SWISS-PROT: created in 1986 (A.Bairoch) http://www.expasy.org/sprot/

TrEMBL: created in 1996; complement to SWISS-PROT; derived from EMBL CDS translations (« proteomic » version of EMBL)

PIR-PSD: Protein Information Resources http://pir.georgetown.edu/

Genpept: « proteomic » version of GenBank

Many specialized protein databases for specific families or groups of proteins. Examples: AMSDb (antibacterial peptides), GPCRDB (7 TM

receptors), IMGT (immune system) YPD (Yeast) etc.

Page 19: An introduction to  biological databases

SWISS-PROT Collaboration between the SIB (CH) and EMBL/EBI (UK)

Fully manually annotated, non-redundant, cross-referenced, documented protein sequence database.

~113 ’000 sequences from more than 6’800 different species; 70 ’000 references (publications); 550 ’000 cross-references (databases); ~200 Mb of annotations.

Weekly releases; available from about 50 servers across the world, the main source being ExPASy

Page 20: An introduction to  biological databases

TrEMBL (Translation of EMBL) It is impossible to cope with the quantity of newly

generated data AND to maintain the high quality of SWISS-PROT -> TrEMBL, created in 1996.

TrEMBL is automatically generated (from annotated EMBL coding sequences (CDS)) and annotated using software tools.

Contains all what is not in SWISS-PROT. SWISS-PROT + TrEMBL = all known protein sequences.

Well-structured SWISS-PROT-like resource.

Page 21: An introduction to  biological databases

The simplified story of a SWISS-PROT entry

cDNAs, genomes, …

EMBLnew EMBL

TrEMBLnew TrEMBL

SWISS-PROT

« Automated »• Redundancy check (merge)• Family attribution (InterPro)• Annotation (computer)

« Manual »• Redundancy (merge, conflicts)• Annotation (manual)• SWISS-PROT tools (macros…)• SWISS-PROT documentation• Medline• Databases (MIM, MGD….)• Brain storming

Once in SWISS-PROT, the entry is no more in TrEMBL, but still in EMBL (archive)

CDS

CDS: proposed and submitted at EMBL by authors or by genome projects (can be experimentally proven or derived from gene prediction programs). TrEMBL neither translates DNA sequences, nor uses gene prediction programs: only takes CDS proposed by the submitting authors in the EMBL entry.

Some data are not submitted to the public databases !!(delayed or cancelled…)

Page 22: An introduction to  biological databases

a Swiss-Prot entry…overview

sequence

Accession number

Entry name

Page 23: An introduction to  biological databases

Protein nameGene name

Taxonomy

Page 24: An introduction to  biological databases

References

Page 25: An introduction to  biological databases

Comments

Page 26: An introduction to  biological databases

Cross-references

Page 27: An introduction to  biological databases

Keywords

Page 28: An introduction to  biological databases

Feature table(sequence

description)

Page 29: An introduction to  biological databases

Databases 3: ‘genomics’

Contain informations on gene chromosomal location (mapping) and nomenclature, and provide links to sequence databases; has usually no sequence;

Exist for most organisms important in life science research; usually species specific.

Examples: MIM, GDB (human), MGD (mouse), FlyBase (Drosophila), SGD (yeast), MaizeDB (maize), SubtiList (B.subtilis), etc.;

Generally relational db (Oracle, SyBase or AceDb)

Page 30: An introduction to  biological databases

Databases 4: mutation/polymorphism

Contain informations on sequence variations linked or not to genetic diseases;

Mainly human but: OMIA - Online Mendelian Inheritance in Animals General db:

OMIM HMGD - Human Gene Mutation db SVD - Sequence variation db HGBASE - Human Genic Bi-Allelic Sequences db dbSNP - Human single nucleotide polymorphism (SNP) db

Disease-specific db: most of these databases are either linked to a single gene or to a single disease; p53 mutation db ADB - Albinism db (Mutations in human genes causing albinism) Asthma and Allergy gene db ….

Page 31: An introduction to  biological databases

Database 5: protein domain/family

Page 32: An introduction to  biological databases

Protein domain/family: some definitions

Most proteins have « modular » structures Estimation: ~ 3 domains / protein Domains (conserved sequences or structures)

are identified by multiple sequence alignments

Domains can be defined by different methods: Pattern (regular expression); used for very conserved domains Profiles (weighted matrices): two-dimensional tables of position

specific match-, gap-, and insertion-scores, derived from aligned sequence families; used for less conserved domains

Hidden Markov Model (HMM); probabilistic models; an other method to generate profiles.

Page 33: An introduction to  biological databases

Database 5: protein domain/family

Contains biologically significant « pattern / profiles/ HMM » formulated in such a way that, with appropriate computional tools, it can rapidly and reliably determine to which known family of proteins (if any) a new sequence belongs to

Used as a tool to identify the function of uncharacterized proteins translated from genomic or cDNA sequences (« functional diagnostic »)

Either manually curated (i.e. PROSITE, Pfam, etc.) or automatically generated (i.e. ProDom, DOMO)

Page 34: An introduction to  biological databases

Protein domain/family db

PROSITE Patterns / ProfilesProDom Aligned motifs (PSI-BLAST) (Pfam B)PRINTS Aligned motifs

Pfam HMM (Hidden Markov Models)

SMART HMMTIGRfam HMM

DOMO Aligned motifsBLOCKS Aligned motifs (PSI-BLAST)CDD(CDART) PSI-BLAST(PSSM) of Pfam and SMART

IInntteerrpprroo

Page 35: An introduction to  biological databases

Databases 6: proteomics Contain informations obtained by 2D-PAGE:

images of master gels and description of identified proteins

Examples: SWISS-2DPAGE, ECO2DBASE, Maize-2DPAGE, Sub2D, Cyano2DBase, etc.

Composed of image and text files

There is currently no protein Mass Spectrometry (MS) database (not for long…)

Page 36: An introduction to  biological databases

This protein does not exist in the current release of SWISS-2DPAGE.

EPO_HUMAN (human plasma)

Page 37: An introduction to  biological databases

Databases 7: 3D structure Contain the spatial coordinates of macromolecules whose

3D structure has been obtained by X-ray or NMR studies

Proteins represent more than 90% of available structures (others are DNA, RNA, sugars, viruses, protein/DNA complexes…)

PDB (Protein Data Bank), SCOP (structural classification of proteins (according to the secondary structures)), BMRB (BioMagResBank; RMN results)

DSSP: Database of Secondary Structure Assignments.HSSP: Homology-derived secondary structure of proteins.FSSP: Fold Classification based on Structure-Structure Assignments.

Future: Homology-derived 3D structure db.

Page 38: An introduction to  biological databases

PDB: Protein Data Bank

Managed by Research Collaboratory for Structural Bioinformatics (RCSB) (USA).

Contains macromolecular structure data on proteins, nucleic acids, protein-nucleic acid complexes, and viruses.

Associated with specialized programs allow the visualization of the corresponding 3D structure (e.g., SwissPDB-viewer, Cn3D).

Currently there are ~19’000 structural data for about 6’000 molecules, but far less protein family (highly redundant) !

Page 39: An introduction to  biological databases

PDB: example

HEADER LYASE(OXO-ACID) 01-OCT-91 12CA 12CA 2COMPND CARBONIC ANHYDRASE /II (CARBONATE DEHYDRATASE) (/HCA II) 12CA 3COMPND 2 (E.C.4.2.1.1) MUTANT WITH VAL 121 REPLACED BY ALA (/V121A) 12CA 4SOURCE HUMAN (HOMO SAPIENS) RECOMBINANT PROTEIN 12CA 5AUTHOR S.K.NAIR,D.W.CHRISTIANSON 12CA 6REVDAT 1 15-OCT-92 12CA 0 12CA 7JRNL AUTH S.K.NAIR,T.L.CALDERONE,D.W.CHRISTIANSON,C.A.FIERKE 12CA 8JRNL TITL ALTERING THE MOUTH OF A HYDROPHOBIC POCKET. 12CA 9JRNL TITL 2 STRUCTURE AND KINETICS OF HUMAN CARBONIC ANHYDRASE 12CA 10JRNL TITL 3 /II$ MUTANTS AT RESIDUE VAL-121 12CA 11JRNL REF J.BIOL.CHEM. V. 266 17320 1991 12CA 12JRNL REFN ASTM JBCHA3 US ISSN 0021-9258 071 12CA 13REMARK 1 12CA 14REMARK 2 12CA 15REMARK 2 RESOLUTION. 2.4 ANGSTROMS. 12CA 16REMARK 3 12CA 17REMARK 3 REFINEMENT. 12CA 18REMARK 3 PROGRAM PROLSQ 12CA 19REMARK 3 AUTHORS HENDRICKSON,KONNERT 12CA 20REMARK 3 R VALUE 0.170 12CA 21REMARK 3 RMSD BOND DISTANCES 0.011 ANGSTROMS 12CA 22REMARK 3 RMSD BOND ANGLES 1.3 DEGREES 12CA 23REMARK 4 12CA 24REMARK 4 N-TERMINAL RESIDUES SER 2, HIS 3, HIS 4 AND C-TERMINAL 12CA 25REMARK 4 RESIDUE LYS 260 WERE NOT LOCATED IN THE DENSITY MAPS AND, 12CA 26REMARK 4 THEREFORE, NO COORDINATES ARE INCLUDED FOR THESE RESIDUES. 12CA 27………

Page 40: An introduction to  biological databases

PDB (cont.)SHEET 3 S10 PHE 66 PHE 70 -1 O ASN 67 N LEU 60 12CA 68SHEET 4 S10 TYR 88 TRP 97 -1 O PHE 93 N VAL 68 12CA 69SHEET 5 S10 ALA 116 ASN 124 -1 O HIS 119 N HIS 94 12CA 70SHEET 6 S10 LEU 141 VAL 150 -1 O LEU 144 N LEU 120 12CA 71SHEET 7 S10 VAL 207 LEU 212 1 O ILE 210 N GLY 145 12CA 72SHEET 8 S10 TYR 191 GLY 196 -1 O TRP 192 N VAL 211 12CA 73SHEET 9 S10 LYS 257 ALA 258 -1 O LYS 257 N THR 193 12CA 74SHEET 10 S10 LYS 39 TYR 40 1 O LYS 39 N ALA 258 12CA 75TURN 1 T1 GLN 28 VAL 31 TYPE VIB (CIS-PRO 30) 12CA 76TURN 2 T2 GLY 81 LEU 84 TYPE II(PRIME) (GLY 82) 12CA 77TURN 3 T3 ALA 134 GLN 137 TYPE I (GLN 136) 12CA 78TURN 4 T4 GLN 137 GLY 140 TYPE I (ASP 139) 12CA 79TURN 5 T5 THR 200 LEU 203 TYPE VIA (CIS-PRO 202) 12CA 80TURN 6 T6 GLY 233 GLU 236 TYPE II (GLY 235) 12CA 81CRYST1 42.700 41.700 73.000 90.00 104.60 90.00 P 21 2 12CA 82ORIGX1 1.000000 0.000000 0.000000 0.00000 12CA 83ORIGX2 0.000000 1.000000 0.000000 0.00000 12CA 84ORIGX3 0.000000 0.000000 1.000000 0.00000 12CA 85SCALE1 0.023419 0.000000 0.006100 0.00000 12CA 86SCALE2 0.000000 0.023981 0.000000 0.00000 12CA 87SCALE3 0.000000 0.000000 0.014156 0.00000 12CA 88ATOM 1 N TRP 5 8.519 -0.751 10.738 1.00 13.37 12CA 89ATOM 2 CA TRP 5 7.743 -1.668 11.585 1.00 13.42 12CA 90ATOM 3 C TRP 5 6.786 -2.502 10.667 1.00 13.47 12CA 91ATOM 4 O TRP 5 6.422 -2.085 9.607 1.00 13.57 12CA 92ATOM 5 CB TRP 5 6.997 -0.917 12.645 1.00 13.34 12CA 93ATOM 6 CG TRP 5 5.784 -0.209 12.221 1.00 13.40 12CA 94ATOM 7 CD1 TRP 5 5.681 1.084 11.797 1.00 13.29 12CA 95ATOM 8 CD2 TRP 5 4.417 -0.667 12.221 1.00 13.34 12CA 96ATOM 9 NE1 TRP 5 4.388 1.418 11.515 1.00 13.30 12CA 97ATOM 10 CE2 TRP 5 3.588 0.375 11.797 1.00 13.35 12CA 98ATOM 11 CE3 TRP 5 3.837 -1.877 12.645 1.00 13.39 12CA 99ATOM 12 CZ2 TRP 5 2.216 0.208 11.656 1.00 13.39 12CA 100ATOM 13 CZ3 TRP 5 2.465 -2.043 12.504 1.00 13.33 12CA 101ATOM 14 CH2 TRP 5 1.654 -1.001 12.009 1.00 13.34 12CA 102…….

Coordinates of each atom

Page 41: An introduction to  biological databases

Databases 8: metabolic Contain informations that describe enzymes,

biochemical reactions and metabolic pathways;

ENZYME and BRENDA: nomenclature databases that store informations on enzyme names and reactions;

Metabolic databases: EcoCyc (specialized on Escherichia coli), KEGG, EMP/WIT;Usually these databases are tightly coupled with query software that allows the user to visualise reaction schemes.

Page 42: An introduction to  biological databases

Databases 9: bibliographic

Bibliographic reference databases contain citations and abstract informations of published life science articles;

Example: Medline Other more specialized databases also

exist (example: Agricola).

Page 43: An introduction to  biological databases

Medline

MEDLINE covers the fields of medicine, nursing, dentistry, veterinary medicine, the health care system, and the biological sciences

more than 4,000 biomedical journals published in the United States and 70 other countries

Contains over 12 million citations since 1966 until now

Contains links to biological db and to some journals

New records are added to PreMEDLINE daily! Many papers not dealing with humans are not in

Medline ! Before 1970, keeps only the first 10 authors ! Not all journals have citations since 1966 !

Page 44: An introduction to  biological databases

PubMed Search tool for accessing literature citations developed at NCBI. Provides access to bibliographic information

such as MEDLINE, PreMEDLINE, HealthSTAR, and to integrated molecular biology databases (composite db).

Gives also access to : NLM (National Library of Medecine) i.e. to citations

before publication ([MEDLINE record in process]) Publisher supplied citations: citations directly

submitted to PubMed ([Record as supplied by publisher]).

PMID (PubMed ID) UI (Medline ID)

Page 45: An introduction to  biological databases

Databases 10: others There are many databases that cannot be

classified in the categories listed previously; Examples: ReBase (restriction enzymes),

TRANSFAC (transcription factors), CarbBank, GlycoSuiteDB (linked sugars), Protein-protein interactions db (DIR, ProNet, Intact, BIND), Protease db (MEROPS), biotechnology patents db, etc.;

As well as many other resources concerning any and new aspects of macromolecules and molecular biology (Ex: Microarrays).

Page 46: An introduction to  biological databases

Database retrieval tools Query tools associated with the Databases Sequence Retrieval System (SRS, Europe)

allows any flat-file db to be indexed to any other; allows to formulate queries across a wide range of different db types via a single interface, without any worry about data structure, query languages…

Entrez (NCBI): less flexible than SRS but exploits the concept of « neighbouring », which allows related articles in different db to be linked together, whether or not they are cross-referenced directly

ATLAS: specific for macromolecular sequences db (i.e. NRL-3D)

….

Page 47: An introduction to  biological databases

Proliferation of databases What is the best db for sequence analysis ? Which does contain the highest quality data ? Which is the more comprehensive ? Which is the more up-to-date ? Which is the less redundant ? Which is the more indexed (allows complex

queries) ? Which Web server does respond most

quickly ? …….??????

Page 48: An introduction to  biological databases

Some important practical remarks Databases: many errors (automated

annotation) ! Not all db are available on all servers The update frequency is not the same

for all servers; creation of db_new between releases (example: EMBLnew; TrEMBLnew….)

Some servers add automatically useful cross-references to an entry (implicit links) in addition to already existing links (explicit links)