Khetani, R., Gross, R. Bounded search for de novo identification of degenerate cis-regulatory elements. BMC Bioinformatics. By continuing to use our website or clicking “Continue”, you are agreeing to accept our cookies.

Profiling alternatively spliced mRNA isoforms for prostate cancer classification Chaolin Zhang1,2, Hai-Ri Li3, Jian-Bing Fan4, Jessica Wang-Rodriguez5,7, Tracy Downs6,7, Xiang-Dong Fu3 and Michael Q. Zhang1* 1Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA 2Department of Biomedical Engineering, State University of New York at Stony Brook, NY

[PMC free article] Lin HH, Han LY, Zhang HL, Zheng CJ, Xie B, Chen YZ. Prediction of the Functional Class of Metal-Binding Proteins from Sequence Derived Physicochemical Properties by Support Vector Machine Approach. BMC Bioinformatics. The definition of journal acceptance rate is the percentage of all articles submitted to BMC Bioinformatics that was accepted for publication. Based on the Journal Acceptance Rate Feedback System database, the latest acceptance rate of BMC Bioinformatics is 100.0%. BMC Bioinformatics IF is increased by a factor of 0.26 and approximate percentage change is 11.06% when compared to preceding year 2017, which shows a rising trend. The impact factor (IF), also denoted as Journal impact factor (JIF), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal.

The editor handled our process with patience and gave more suggestions to improve our maniscript substantially. BMC Bioinformatics: 6.5 weeks: 22.5 talks (all but one are collected in this supplement to BMC Bioinformatics) represent a 37% acceptance rate, and the authors have carefully revised the papers according to the reviews before the publication. A full proceedings of APBC2009, including all the accepted full papers and abstracts, is published by Tsinghua University Press. Bioinformatics has had a very busy and successful and BMC Bioinformatics (2.448) to name a few. The submission rate in 2017 year to date is around 2,000 papers, and there has been an acceptance rate in the region of 30%.

of Bioinformatics and Bioengineering (IEEE BIBE)(full paper acceptanc convergence rate increased from 60% to 90%. Conclusion: In this BMC Bioinformatics 2006, 7:230 doi:10.1186/1471-2105-7-230 Accepted: 27 April 2006.

BMC Bioinformatics. 2008 Dec 29;9:559. doi: 10.1186/1471-2105-9-559. Authors Peter Langfelder 1 , Steve Horvath. Affiliation 1 Department of Human Genetics and

BMC Bioinformatics. The definition of journal acceptance rate is the percentage of all articles submitted to BMC Bioinformatics that was accepted for publication.

(2020). Inferring time-dependent population growth rates in cell cultures undergoing adaptation. BMC Bioinformatics. 21. 1-13. Todde, G.,

Development and application of a modified dynamic time warping algorithm (DTW-S) to analyses of primate brain expression time series BMC Bioinformatics 2011, 12:347 doi:10.1186/1471-2105 BMC Bioinformatics Research article Open Access Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties Natalia V Petrova and Cathy H Wu* Address: Protein Information Resource, Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medic al Center, BMC is a member of the Committee on Publication Ethics (COPE) and endorses the World Association of Medical Editors (WAME) Policy Statement on Geopolitical Intrusion on Editorial Decisions. BMC also endorses the International Committee of Medical Journal Editors (ICMJE) Recommendations for the Conduct, Reporting, Editing and Publication of Scholarly Work in Medical Journals . BMC Medicine is the flagship medical journal of the BMC series. An open access, transparent peer-reviewed general medical journal, BMC Medicine publishes outstanding and influential research in all areas of clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional Strimmer K.. A unified approach to false discovery rate estimation.

20(1), 306. 12 Nov 2007 BMC Bioinformatics 2007, 8:439 doi:10.1186/1471-2105-8-439. Received: 11 an acceptance rate that is close to one implies the proba-. 12/2020, Our survey paper on causal inference is accepted by ACM paper on protein kinase inhibitor response prediction is accepted by BMC Bioinformatics.
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The editor handled our process with patience and gave more suggestions to improve our maniscript substantially. BMC Bioinformatics: 6.5 weeks: 22.5 BMC Bioinformatics 2006, Acceptance date 11 April 2006 at a false discovery rate (FDR) of 0.05. Remarkably, The definition of journal acceptance rate is the percentage of all articles submitted to BMC Bioinformatics that was accepted for publication. Based on the Journal Acceptance Rate Feedback System database, the latest acceptance rate of BMC Bioinformatics is 100.0%.

However, we will focus on quality instead of quantity, so it may be less or more, dependent on the quality of the submissions received. Schedule (new dates) Paper submission due to November, 30, 2013 Notification of acceptance due to January, 15, 2013 talks (all but one are collected in this supplement to BMC Bioinformatics) represent a 37% acceptance rate, and the authors have carefully revised the papers according to the reviews before the publication.
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resistance genes in public metagenomic data sets, BMC Genomics 18(1) 2017. accepted to Biotechnology:Systems Biology, Editors Jens Nielsen and Stefan Lagerquist MK, Kristiansson E, Carlsten H, Lindholm C. Estrogen ameliorates

Research Hotspot. BMC Bioinformatics Self-Citation Ratio. 4.90 %. SJR SNIP H-Index Citescore. BMC Bioinformatics is a peer-reviewed open access scientific journal covering bioinformatics and computational biology published by BioMed Central. It was established in 2000, and has been one of the fasting growing and most successful journals in the BMC Series of journals, publishing 1,000 articles in its first five years. 163 days from submission to acceptance 36 days from acceptance to publication.

BMC Bioinformatics Research article Open Access Sex genes for genomic analysis in human brain: internal controls for comparison of probe level data extraction. Hanga C Galfalvy1, Loubna Erraji-Benchekroun1,2, Peggy Smyrniotopoulos1, Paul Pavlidis3, Steven P Ellis 1,2, J John Mann1,2, Etienne Sibille* and Victoria Arango1,2

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It can be downloaded, printed and distributed freely for any purposes (see copyright notice below). Articles in BMC journals are listed in PubMed and archived at PubMed Central. BMC Bioinformatics Research article Open Access Sex genes for genomic analysis in human brain: internal controls for comparison of probe level data extraction. Hanga C Galfalvy1, Loubna Erraji-Benchekroun1,2, Peggy Smyrniotopoulos1, Paul Pavlidis3, Steven P Ellis 1,2, J John Mann1,2, Etienne Sibille* and Victoria Arango1,2 BMC Cancer strongly encourages that all datasets on which the conclusions of the paper rely should be available to readers. We encourage authors to ensure that their datasets are either deposited in publicly available repositories (where available and appropriate) or presented in the main manuscript or additional supporting files whenever possible. BMC Bioinformatics Research article Open Access Identifying protein complexes directly from high-throughput TAP data with Markov random fields Wasinee Rungsarityotin*1,3, Roland Krause1,2, Arno Schödl3 and Alexander Schliep*1 Acceptance Rate.