Literature DB >> 28682345

Single-cell sequencing made simple.

Jeffrey M Perkel.   

Abstract

Year:  2017        PMID： 28682345     DOI： 10.1038/547125a

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  2 in total

1.  Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.

Authors:  Alexandra-Chloé Villani; Rahul Satija; Gary Reynolds; Siranush Sarkizova; Karthik Shekhar; James Fletcher; Morgane Griesbeck; Andrew Butler; Shiwei Zheng; Suzan Lazo; Laura Jardine; David Dixon; Emily Stephenson; Emil Nilsson; Ida Grundberg; David McDonald; Andrew Filby; Weibo Li; Philip L De Jager; Orit Rozenblatt-Rosen; Andrew A Lane; Muzlifah Haniffa; Aviv Regev; Nir Hacohen
Journal:  Science       Date:  2017-04-21       Impact factor: 47.728

Review 2.  Single-Cell Transcriptomics Bioinformatics and Computational Challenges.

Authors:  Olivier B Poirion; Xun Zhu; Travers Ching; Lana Garmire
Journal:  Front Genet       Date:  2016-09-21       Impact factor: 4.599
  2 in total
  8 in total

1.  Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning.

Authors:  Fredrik Wrede; Andreas Hellander
Journal:  Bioinformatics       Date:  2019-12-15       Impact factor: 6.937

2.  FSCAM: CAM-Based Feature Selection for Clustering scRNA-seq.

Authors:  Yan Wang; Jie Gao; Chenxu Xuan; Tianhao Guan; Yujie Wang; Gang Zhou; Tao Ding
Journal:  Interdiscip Sci       Date:  2022-01-14       Impact factor: 2.233

3.  Identification of altered biological processes in heterogeneous RNA-sequencing data by discretization of expression profiles.

Authors:  Andrea Lauria; Serena Peirone; Marco Del Giudice; Francesca Priante; Prabhakar Rajan; Michele Caselle; Salvatore Oliviero; Matteo Cereda
Journal:  Nucleic Acids Res       Date:  2020-02-28       Impact factor: 16.971

4.  A computational method to aid the design and analysis of single cell RNA-seq experiments for cell type identification.

Authors:  Douglas Abrams; Parveen Kumar; R Krishna Murthy Karuturi; Joshy George
Journal:  BMC Bioinformatics       Date:  2019-06-06       Impact factor: 3.169

5.  DISSEQT-DIStribution-based modeling of SEQuence space Time dynamics.

Authors:  R Henningsson; G Moratorio; A V Bordería; M Vignuzzi; M Fontes
Journal:  Virus Evol       Date:  2019-08-05

Review 6.  Patho-mechanisms of the origins of bronchopulmonary dysplasia.

Authors:  Mitali Sahni; Vineet Bhandari
Journal:  Mol Cell Pediatr       Date:  2021-12-11

Review 7.  Single-cell transcriptomics in human skin research: available technologies, technical considerations and disease applications.

Authors:  Georgios Theocharidis; Stavroula Tekkela; Aristidis Veves; John A McGrath; Alexandros Onoufriadis
Journal:  Exp Dermatol       Date:  2022-03-04       Impact factor: 4.511

8.  Comparative transcriptomic analyses and single-cell RNA sequencing of the freshwater planarian Schmidtea mediterranea identify major cell types and pathway conservation.

Authors:  Lakshmipuram Seshadri Swapna; Alyssa M Molinaro; Nicole Lindsay-Mosher; Bret J Pearson; John Parkinson
Journal:  Genome Biol       Date:  2018-08-24       Impact factor: 13.583
  8 in total

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