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https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-020-00909-7; Pérez J., BMC Bioinformatics, 15:360. av T Hatzihristidis · 2015 · Citerat av 9 — Historically research on TKs has advanced at a faster rate than that on PTPs; not only were TKs Since the publication of the fly genome, Drosophila has emerged as a very successful model BMC Bioinformatics, 10 (Suppl. av J Fransson — Learned Publishing, 31: 181-183. doi:10.1002/leap.1135 The Journal of Academic Librarianship, 45 102071, doi: i antalet inskickade artiklar (submission rate), man valde att behålla sin acceptans rate och BMC Bioinformatics 12(15).

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BMC Bioinformatics Research article Open Access Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks S June Oh1, Je-Gun Joung2,3, Jeong-Ho Chang4 and Byoung-Tak Zhang*2,3,4 Address: 1Department of Pharmacology, Inje University College of Medicine, Busan, 614-735, Korea , 2Center for Bioinformation

BMC Bioinformatics Methodology article Open Access A novel method for prokaryotic promoter prediction based on DNA stability Aditi Kanhere and Manju Bansal* the free energy distribution corresponding to a fragment extending from position -148 to 51 in the E. coli sequences Abstract. Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes in microarray data sets. GSEA is especially useful when gene expression changes in a given microarray data set is minimal or moderate.

C Lormeau, F BMC bioinformatics 21 (1), 34, 2020. 2020 DAL-a framework to store, share and publish research data. D Arend, M Lange, J Chen, C Colmsee, S Flemming, D Hecht, U Scholz. BMC Bioinformatics 15 (1), Read the peer-reviewed publication. PRAP: Pan Resistome analysis pipeline · BMC Bioinformatics History. 14.01.2020 - Publication date. Ph.D., Senior bioinformatics scientist at Clinical Genomics Stockholm and Genomic Medicine Center Karolinska (GMCK) Full publication list: https://scholar.google.com/citations?user=_6QCMhoAAAAJ BMC Bioinformatics 2014.
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Targeting the odorant receptors (ORs) may av JL Björkegren · 2014 · Citerat av 52 — T, Skogsberg J. PLoS Genet . 2014 Feb 27;10(2):e1004201. doi: 10.1371/journal.pgen.1004201. eCollection 2014 Feb. Related citations.
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BMC Bioinformatics 17 (-) 249 [2016-06-23; online 2016-06-23] Bioinformatics Support and Infrastructure [Technology development] Bioinformatics Support, Infrastructure and Training [Technology development]

of land plants: insights from a family-level phylogenetic analysis. BMC American Journal of Bot-. Bioinformatics and next-generation sequencing . Journal, 2019, Epub ahead of print, DOI:10.1038/s41397-019-. 0099-8. III. Gréen.

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Division of Russian Studies, Central and Eastern European Studies, Yiddish, and European Studies. Central and Eastern European Studies. European Studies Abstract. Summary: We present a tool for control-free copy number alteration (CNA) detection using deep-sequencing data, particularly useful for cancer studies. The tool deals with two frequent problems in the analysis of cancer deep-sequencing data: absence of control sample and possible polyploidy of cancer cells. BMC Bioinformatics Review Speed, Peer-Review Duration, Time from Submission to 1st Editorial/Reviewer Decision & Time from Submission to Journal info (provided by editor). The editor of BMC Bioinformatics has not yet provided information for this page.

av JL Björkegren · 2014 · Citerat av 54 — T, Skogsberg J. PLoS Genet . 2014 Feb 27;10(2):e1004201.