Gabriel Moreno-Hagelsieb

Prof. Gabriel Moreno-Hagelsieb

orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2016 in Microbiological Research
Verified
Journal Article
Closed access
Gustavo SantoyoGustavo Santoyo
Gustavo Santoyo
GMGabriel Moreno-Hagelsieb
Gabriel Moreno-Hagelsieb
Ma. del Carmen Orozco-MosquedaMa. del Carmen Orozco-Mosqueda
Ma. del Carmen Orozco-Mosqueda
BGBernard R. Glick
Bernard R. Glick

1 June 2011 in Applied and Environmental Microbiology
Verified
Journal Article
Closed access
PDF file
ABAndrea K. Bartram
Andrea K. Bartram
MLMichael D. J. Lynch
Michael D. J. Lynch
JSJennifer C. Stearns
Jennifer C. Stearns
GMGabriel Moreno-Hagelsieb
Gabriel Moreno-Hagelsieb
JNJosh D. Neufeld
Josh D. Neufeld
Microbial communities host unparalleled taxonomic diversity. Adequate characterization of environmental and host-associated samples remains a challenge for microbiologists, despite the advent of 16S rRNA gene sequencing. In order to increase the depth of sampling for diverse bacterial communities, we developed a method for sequencing and assembling millions of paired-end reads from the 16S rRNA gene (spanning the V3 region; ∼200 nucleotides) by using an Illumina genome analyzer. To confirm reproducibility and to identify a suitable computational pipeline for data analysis, sequence libraries were prepared in duplicate for both a defined mixture of DNAs from known cultured bacterial isolates (>1 million postassembly sequences) and an Arctic tundra soil sample (>6 million postassembly sequences). The Illumina 16S rRNA gene libraries represent a substantial increase in number of sequences over all extant next-generation sequencing approaches (e.g., 454 pyrosequencing), while the assembly of paired-end 125-base reads offers a methodological advantage by incorporating an initial quality control step for each 16S rRNA gene sequence. This method incorporates indexed primers to enable the characterization of multiple microbial communities in a single flow cell lane, may be modified readily to target other variable regions or genes, and demonstrates unprecedented and economical access to DNAs from organisms that exist at low relative abundances.

5 November 2015 in Nucleic Acids Research
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Journal Article
Open access
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MJMilton H. Saier Jr.
Milton H. Saier Jr.
VRVamsee S. Reddy
Vamsee S. Reddy
BTBrian V. Tsu
Brian V. Tsu
Muhammad Saad AhmedMuhammad Saad Ahmed
Muhammad Saad Ahmed
CLChun Li
Chun Li
GMGabriel Moreno-Hagelsieb
Gabriel Moreno-Hagelsieb
The Transporter Classification Database (TCDB; http://www.tcdb.org) is a freely accessible reference database for transport protein research, which provides structural, functional, mechanistic, evolutionary and disease/medical information about transporters from organisms of all types. TCDB is the only transport protein classification database adopted by the International Union of Biochemistry and Molecular Biology (IUBMB). It consists of more than 10 000 non-redundant transport systems with more than 11 000 reference citations, classified into over 1000 transporter families. Transporters in TCDB can be single or multi-component systems, categorized in a functional/phylogenetic hierarchical system of classes, subclasses, families, subfamilies and transport systems. TCDB also includes updated software designed to analyze the distinctive features of transport proteins, extending its usefulness. Here we present a comprehensive update of the database contents and features and summarize recent discoveries recorded in TCDB.

26 November 2007 in Bioinformatics
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Journal Article
Closed access
GMGabriel Moreno-Hagelsieb
Gabriel Moreno-Hagelsieb
KLKristen Latimer
Kristen Latimer
Motivation: The analyses of the increasing number of genome sequences requires shortcuts for the detection of orthologs, such as Reciprocal Best Hits (RBH), where orthologs are assumed if two genes each in a different genome find each other as the best hit in the other genome. Two BLAST options seem to affect alignment scores the most, and thus the choice of a best hit: the filtering of low information sequence segments and the algorithm used to produce the final alignment. Thus, we decided to test whether such options would help better detect orthologs. Results: Using Escherichia coli K12 as an example, we compared the number and quality of orthologs detected as RBH. We tested four different conditions derived from two options: filtering of low-information segments, hard (default) versus soft; and alignment algorithm, default (based on matching words) versus Smith–Waterman. All options resulted in significant differences in the number of orthologs detected, with the highest numbers obtained with the combination of soft filtering with Smith–Waterman alignments. We compared these results with those of Reciprocal Shortest Distances (RSD), supposed to be superior to RBH because it uses an evolutionary measure of distance, rather than BLAST statistics, to rank homologs and thus detect orthologs. RSD barely increased the number of orthologs detected over those found with RBH. Error estimates, based on analyses of conservation of gene order, found small differences in the quality of orthologs detected using RBH. However, RSD showed the highest error rates. Thus, RSD have no advantages over RBH. Availability: Orthologs detected as Reciprocal Best Hits using soft masking and Smith–Waterman alignments can be downloaded from http://popolvuh.wlu.ca/Orthologs. Contact: gmoreno@wlu.ca

3 October 2016 in Nature Genetics
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GCGEM Project Research Consortium
GEM Project Research Consortium
WTWilliams Turpin
Williams Turpin
OEOsvaldo Espin-Garcia
Osvaldo Espin-Garcia
WXWei Xu
Wei Xu
MSMark S Silverberg
Mark S Silverberg
KCKenneth Croitoru
Kenneth Croitoru

1 March 2017 in Science Translational Medicine
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Journal Article
Closed access
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GPGiada De Palma
Giada De Palma
MLMichael D. J. Lynch
Michael D. J. Lynch
JLJun Lu
Jun Lu
VDVi T. Dang
Vi T. Dang
YDYikang Deng
Yikang Deng
PBPremysl Bercik
Premysl Bercik
Fecal microbiota transplants from patients with irritable bowel syndrome and anxiety alter gut function and behavior in germ-free mice.