Literature DB >> 30656627

Bioinformatics Analysis of Single-Cell RNA-Seq Raw Data from iPSC-Derived Neural Stem Cells.

Jeffrey Kim1, Marcel M Daadi2,3.   

Abstract

This chapter describes a pipeline for basic bioinformatics analysis of single-cell sequencing data (see Chap. 10 : Single-Cell Library Preparation). Starting with raw sequencing data, we describe how to quality check samples, to create an index from a reference genome, to align the sequences to an index, and to quantify transcript abundances. The curated data sets will enable differential expression analysis, population analysis, and pathway analysis.

Entities:  

Keywords:  BBDuk; Bioinformatics; C1; DAVID; FASTQC; Fluidigm; Kallisto; Neural stem cells; RNA-seq; SCDE; Single cell; Single-cell RNA-seq; Single-cell analysis; Singular; Sleuth

Mesh:

Year:  2019        PMID: 30656627      PMCID: PMC6605033          DOI: 10.1007/978-1-4939-9007-8_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

Review 1.  Non-cell autonomous mechanism of Parkinson's disease pathology caused by G2019S LRRK2 mutation in Ashkenazi Jewish patient: Single cell analysis.

Authors:  Jeffrey Kim; Marcel M Daadi
Journal:  Brain Res       Date:  2019-07-19       Impact factor: 3.252

2.  De novo genome assembly of rice bean (Vigna umbellata) - A nominated nutritionally rich future crop reveals novel insights into flowering potential, habit, and palatability centric - traits for efficient domestication.

Authors:  Tanushri Kaul; Murugesh Easwaran; Arulprakash Thangaraj; Arun Meyyazhagan; Mamta Nehra; Nitya Meenakshi Raman; Rachana Verma; Sonia Khan Sony; Khaled Fathy Abdel; Jyotsna Bharti; Chandan Badapanda; Balamuralikrishnan Balasubramanian
Journal:  Front Plant Sci       Date:  2022-10-04       Impact factor: 6.627

  2 in total

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