Literature DB >> 12651736

ASAP: automated sequence annotation pipeline for web-based updating of sequence information with a local dynamic database.

Andrew Kossenkov1, Frank J Manion, Eugene Korotkov, Thomas D Moloshok, Michael F Ochs.   

Abstract

The automated sequence annotation pipeline (ASAP) is designed to ease routine investigation of new functional annotations on unknown sequences, such as expressed sequence tags (ESTs), through querying of web-accessible resources and maintenance of a local database. The system allows easy use of the output from one search as the input for a new search, as well as the filtering of results. The database is used to store formats and parameters and information for parsing data from web sites. The database permits easy updating of format information should a site modify the format of a query or of a returned web page.

Mesh:

Year:  2003        PMID: 12651736     DOI: 10.1093/bioinformatics/btg056

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  ProbeLynx: a tool for updating the association of microarray probes to genes.

Authors:  Fiona M Roche; Karsten Hokamp; Michael Acab; Lorne A Babiuk; Robert E W Hancock; Fiona S L Brinkman
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  Updating annotations with the distributed annotation system and the automated sequence annotation pipeline.

Authors:  William Speier; Michael F Ochs
Journal:  Bioinformatics       Date:  2012-09-03       Impact factor: 6.937

3.  Automated extraction of reported statistical analyses: towards a logical representation of clinical trial literature.

Authors:  William Hsu; William Speier; Ricky K Taira
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

4.  A comprehensive statistical model for cell signaling.

Authors:  Erdem Yörük; Michael F Ochs; Donald Geman; Laurent Younes
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011 May-Jun       Impact factor: 3.710

5.  Detection of treatment-induced changes in signaling pathways in gastrointestinal stromal tumors using transcriptomic data.

Authors:  Michael F Ochs; Lori Rink; Chi Tarn; Sarah Mburu; Takahiro Taguchi; Burton Eisenberg; Andrew K Godwin
Journal:  Cancer Res       Date:  2009-11-10       Impact factor: 12.701

6.  High level of chromosomal aberration in ovarian cancer genome correlates with poor clinical outcome.

Authors:  Leslie Cope; Ren-Chin Wu; Ie-Ming Shih; Tian-Li Wang
Journal:  Gynecol Oncol       Date:  2012-11-28       Impact factor: 5.482

7.  Gene expression signatures modulated by epidermal growth factor receptor activation and their relationship to cetuximab resistance in head and neck squamous cell carcinoma.

Authors:  Elana J Fertig; Qing Ren; Haixia Cheng; Hiromitsu Hatakeyama; Adam P Dicker; Ulrich Rodeck; Michael Considine; Michael F Ochs; Christine H Chung
Journal:  BMC Genomics       Date:  2012-05-01       Impact factor: 3.969

8.  OligoRAP - an Oligo Re-Annotation Pipeline to improve annotation and estimate target specificity.

Authors:  Pieter B T Neerincx; Han Rauwerda; Haisheng Nie; Martien A M Groenen; Timo M Breit; Jack A M Leunissen
Journal:  BMC Proc       Date:  2009-07-16

9.  Preferential activation of the hedgehog pathway by epigenetic modulations in HPV negative HNSCC identified with meta-pathway analysis.

Authors:  Elana J Fertig; Ana Markovic; Ludmila V Danilova; Daria A Gaykalova; Leslie Cope; Christine H Chung; Michael F Ochs; Joseph A Califano
Journal:  PLoS One       Date:  2013-11-04       Impact factor: 3.240

10.  Integrative identification of deregulated miRNA/TF-mediated gene regulatory loops and networks in prostate cancer.

Authors:  Ali Sobhi Afshar; Joseph Xu; John Goutsias
Journal:  PLoS One       Date:  2014-06-26       Impact factor: 3.240

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