A comprehensive approach to clustering of expressed human gene sequence: the sequence tag alignment and consensus knowledge base
The expressed human genome is being sequenced and analyzed by disparate groups producing disparate data. The majority of the identified coding portion is in the form of expressed sequence tags (ESTs). The need to discover exonic representation and expression forms of full-length cDNAs for each human...
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Published in | Genome research Vol. 9; no. 11; pp. 1143 - 1155 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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United States
Cold Spring Harbor Laboratory Press
01.11.1999
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Abstract | The expressed human genome is being sequenced and analyzed by disparate groups producing disparate data. The majority of the identified coding portion is in the form of expressed sequence tags (ESTs). The need to discover exonic representation and expression forms of full-length cDNAs for each human gene is frustrated by the partial and variable quality nature of this data delivery. A highly redundant human EST data set has been processed into integrated and unified expressed transcript indices that consist of hierarchically organized human transcript consensi reflecting gene expression forms and genetic polymorphism within an index class. The expression index and its intermediate outputs include cleaned transcript sequence, expression, and alignment information and a higher fidelity subset, SANIGENE. The STACK_PACK clustering system has been applied to dbEST release 121598 (GenBank version 110). Sixty-four percent of 1,313, 103 Homo sapiens ESTs are condensed into 143,885 tissue level multiple sequence clusters; linking through clone-ID annotations produces 68,701 total assemblies, such that 81% of the original input set is captured in a STACK multiple sequence or linked cluster. Indexing of alignments by substituent EST accession allows browsing of the data structure and its cross-links to UniGene. STACK metaclusters consolidate a greater number of ESTs by a factor of 1. 86 with respect to the corresponding UniGene build. Fidelity comparison with genome reference sequence AC004106 demonstrates consensus expression clusters that reflect significantly lower spurious repeat sequence content and capture alternate splicing within a whole body index cluster and three STACK v.2.3 tissue-level clusters. Statistics of a staggered release whole body index build of STACK v.2.0 are presented. |
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AbstractList | The expressed human genome is being sequenced and analyzed by disparate groups producing disparate data. The majority of the identified coding portion is in the form of expressed sequence tags (ESTs). The need to discover exonic representation and expression forms of full-length cDNAs for each human gene is frustrated by the partial and variable quality nature of this data delivery. A highly redundant human EST data set has been processed into integrated and unified expressed transcript indices that consist of hierarchically organized human transcript consensi reflecting gene expression forms and genetic polymorphism within an index class. The expression index and its intermediate outputs include cleaned transcript sequence, expression, and alignment information and a higher fidelity subset, SANIGENE. The STACK_PACK clustering system has been applied to dbEST release 121598 (GenBank version 110). Sixty-four percent of 1,313,103
Homo sapiens
ESTs are condensed into 143,885 tissue level multiple sequence clusters; linking through clone-ID annotations produces 68,701 total assemblies, such that 81% of the original input set is captured in a STACK multiple sequence or linked cluster. Indexing of alignments by substituent EST accession allows browsing of the data structure and its cross-links to UniGene. STACK metaclusters consolidate a greater number of ESTs by a factor of 1.86 with respect to the corresponding UniGene build. Fidelity comparison with genome reference sequence
AC004106
demonstrates consensus expression clusters that reflect significantly lower spurious repeat sequence content and capture alternate splicing within a whole body index cluster and three STACK v.2.3 tissue-level clusters. Statistics of a staggered release whole body index build of STACK v.2.0 are presented. The expressed human genome is being sequenced and analyzed by disparate groups producing disparate data. The majority of the identified coding portion is in the form of expressed sequence tags (ESTs). The need to discover exonic representation and expression forms of full-length cDNAs for each human gene is frustrated by the partial and variable quality nature of this data delivery. A highly redundant human EST data set has been processed into integrated and unified expressed transcript indices that consist of hierarchically organized human transcript consensi reflecting gene expression forms and genetic polymorphism within an index class. The expression index and its intermediate outputs include cleaned transcript sequence, expression, and alignment information and a higher fidelity subset, SANIGENE. The STACK_PACK clustering system has been applied to dbEST release 121598 (GenBank version 110). Sixty-four percent of 1,313, 103 Homo sapiens ESTs are condensed into 143,885 tissue level multiple sequence clusters; linking through clone-ID annotations produces 68,701 total assemblies, such that 81% of the original input set is captured in a STACK multiple sequence or linked cluster. Indexing of alignments by substituent EST accession allows browsing of the data structure and its cross-links to UniGene. STACK metaclusters consolidate a greater number of ESTs by a factor of 1. 86 with respect to the corresponding UniGene build. Fidelity comparison with genome reference sequence AC004106 demonstrates consensus expression clusters that reflect significantly lower spurious repeat sequence content and capture alternate splicing within a whole body index cluster and three STACK v.2.3 tissue-level clusters. Statistics of a staggered release whole body index build of STACK v.2.0 are presented. |
Author | Ptitsyn, A A Broveak, T R Miller, R T Gopalakrishnan, C Christoffels, A G Burke, J Hide, W A |
AuthorAffiliation | 1 South African National Bioinformatics Institute, Private Bag X17, Bellville 7535, University of the Western Cape, South Africa; 2 Pangea Systems, Oakland, California 94612 USA; 3 Electric Genetics, Observatory, 7925, Cape Town, South Africa |
AuthorAffiliation_xml | – name: 1 South African National Bioinformatics Institute, Private Bag X17, Bellville 7535, University of the Western Cape, South Africa; 2 Pangea Systems, Oakland, California 94612 USA; 3 Electric Genetics, Observatory, 7925, Cape Town, South Africa |
Author_xml | – sequence: 1 givenname: R T surname: Miller fullname: Miller, R T organization: South African National Bioinformatics Institute, Private Bag X17, Bellville 7535, University of the Western Cape, South Africa – sequence: 2 givenname: A G surname: Christoffels fullname: Christoffels, A G – sequence: 3 givenname: C surname: Gopalakrishnan fullname: Gopalakrishnan, C – sequence: 4 givenname: J surname: Burke fullname: Burke, J – sequence: 5 givenname: A A surname: Ptitsyn fullname: Ptitsyn, A A – sequence: 6 givenname: T R surname: Broveak fullname: Broveak, T R – sequence: 7 givenname: W A surname: Hide fullname: Hide, W A |
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SubjectTerms | Algorithms Cluster Analysis Consensus Sequence Databases, Factual Expressed Sequence Tags Gene Expression Genome, Human Humans Polymorphism, Single Nucleotide - genetics Resource Sequence Alignment |
Title | A comprehensive approach to clustering of expressed human gene sequence: the sequence tag alignment and consensus knowledge base |
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