Results 31 to 40 of about 323,621 (299)

Blazing Signature Filter: a library for fast pairwise similarity comparisons

BMC Bioinformatics, 2018
Background Identifying similarities between datasets is a fundamental task in data mining and has become an integral part of modern scientific investigation.
Joon-Yong Lee, Grant M. Fujimoto, Ryan Wilson, H. Steven Wiley, Samuel H. Payne   +4 more
doaj   +1 more source

The complete chloroplast genome of Sonneratia griffithii Kurz (Lythraceae)

Mitochondrial DNA. Part B. Resources, 2022
Sonneratia griffithii Kurz is a critically endangered mangrove species that can be found along the western coast of Thailand. In this study, we reported the complete chloroplast genome of S. griffithii. The chloroplast genome is 152,730 bp, consisting of
Duangjai Sangsrakru, Chutima Sonthirod, Wanapinun Nawae, Chutintorn Yundaeng, Waratthaya Promchoo, Wirulda Pootakham, Sithichoke Tangphatsornruang   +6 more
doaj   +1 more source

scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles. [PDF]

, 2020
Simultaneous measurements of transcriptomic and epigenomic profiles in the same individual cells provide an unprecedented opportunity to understand cell fates. However, effective approaches for the integrative analysis of such data are lacking.
Jin, Suoqin, Nie, Qing, Zhang, Lihua
core   +1 more source

Omics of Cancer

Asian Pacific Journal of Cancer Prevention, 2012
With the advances in modern diagnostic expertise for cancer, certain approaches allowing scanning of the complete genome and the proteome are becoming very useful for researchers. These high throughput techniques have already proven power, over traditional detection methods, in differentiating disease sub-types and identifying specific genetic events ...
Aniruddha, Bhati, H, Garg, A, Gupta, H, Chhabra, A, Kumari, T, Patel   +5 more
openaire   +3 more sources

Think big — think omics [PDF]

Journal of Inherited Metabolic Disease, 2018
Traditionally the laboratory diagnosis of inborn errors of metabolism largely relies on targeted hypothesis‐driven measurements of metabolites in body fluids. The hypothesis is usually based on the phenotypic characteristics of the patient, defined through deep phenotyping or phenomics.
Wevers, Ron A, Blau, Nenad
openaire   +4 more sources

The complete mitochondrial genome sequence of the mountain crab Indochinamon bhumibol

Mitochondrial DNA. Part B. Resources, 2021
Indochinamon bhumibol has been found as the biggest freshwater crab in Thailand. In this study, we report the first complete sequence of mitochondrial genome from I. bhumibol encoding 13 protein-coding genes, 22 transfer RNAs, and 2 ribosomal RNAs.
Chaiwat Naktang, Chutima Sonthirod, Duangjai Sangsrakru, Sonicha U-thoomporn, Thavarit Koipokaisawan, Paiboon Panase, Methawat Tuntaisong, Wirulda Pootakham, Sithichoke Tangphatsornruang   +8 more
doaj   +1 more source

Mapping mammalian cell-type-specific transcriptional regulatory networks using KD-CAGE and ChIP-seq data in the TC-YIK cell line.

Frontiers in Genetics, 2015
Mammals are composed of hundreds of different cell types with specialized functions. Each of these cellular phenotypes are controlled by different combinations of transcription factors.
Marina eLizio, Marina eLizio, Yuri eIshizu, Yuri eIshizu, Masayoshi eItoh, Masayoshi eItoh, Masayoshi eItoh, Timo eLassmann, Timo eLassmann, Akira eHasegawa, Akira eHasegawa, Atsutaka eKubosaki, Jessica eSeverin, Jessica eSeverin, Hideya eKawaji, Hideya eKawaji, Hideya eKawaji, Yukio eNakamura, Harukazu eSuzuki, Harukazu eSuzuki, Yoshihide eHayashizaki, Yoshihide eHayashizaki, Piero eCarninci, Piero eCarninci, Alistair R R Forrest, Alistair R R Forrest, Alistair R R Forrest   +26 more
doaj   +1 more source

Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions

, 2017
Improvements in sequencing technologies and reduced experimental costs have resulted in a vast number of studies generating high-throughput data. Although the number of methods to analyze these "omics" data has also increased, computational complexity ...
A Fuente de la, A Morgun, A Morgun, A Mortazavi, A Perez-Diez, A Yambartsev, AR Erickson, AR Joyce, B Buchfink, B Langmead, BJ Haas, C Trapnell, CL Poirel, CL Schoch, DH Huson, DJ Lane, DJ McCarthy, E Saccenti, E Stackebrandt, ER Mardis, F Imhann, F Meyer, Gautier, J Kuczynski, J Skinner, JG Caporaso, JL Brookman, JN Paulson, KL Mine, LD Thomas, M Martin, M Schirmer, MA Moreno-Risueno, ML Metzker, N Gehlenborg, N Krumm, N Segata, N Shulzhenko, O Morozova, P Li, PD Schloss, PW Laird, R Greer, R Schmieder, Ritchie, RL Greer, RR Rodrigues, S Anders, S Goodwin, S Lindgreen, S Weiss, S Zhao, SC Schuster, TJ Sharpton, W Zhang, X Dong, YJ Hua   +56 more
core   +1 more source

Mind-life continuity: a qualitative study of conscious experience [PDF]

, 2017
There are two fundamental models to understanding the phenomenon of natural life. One is thecomputational model, which is based on the symbolic thinking paradigm. The other is the biologicalorganism model.
Hipólito, Inês, Martins, J.
core   +1 more source

MONET: Multi-omic module discovery by omic selection

PLOS Computational Biology, 2020
Recent advances in experimental biology allow creation of datasets where several genome-wide data types (called omics) are measured per sample. Integrative analysis of multi-omic datasets in general, and clustering of samples in such datasets specifically, can improve our understanding of biological processes and discover different disease subtypes. In
Nimrod Rappoport, Roy Safra, Ron Shamir
openaire   +4 more sources