Fig Figure shows the alignment of MORC protein to

Fig. 5: Figure shows the alignment of MORC6 protein to the ATPase-C family members that have conserved Mg2+ binding site at 11th position of the alignment. Highlighted (yellow color) query sequence shows the protein sequence that is coded by exon4 in MORC6. ASP (D) and ASN (N) are essential amino BIBF1120 manufacturer for Mg2+ binding but do not contribute in it [7].
Experimental design, materials and methods The experiment contains RNA-Seq samples in three conditions; WT (wild type), mutant RDM16 and STA1. The raw data were downloaded from Gene Expression Omnibus (GEO) with accession number GSE44635. The alignment of the reads were done using TopHat2 pipeline [2] (Table 1) and the reads were counted via featurecount function in Rsubread package [4]. We used edgeR in order to find the differentially expressed exons and introns [6]. Figs. 1–3 were prepared using in-built functions in R. The alignment of the MORC6 protein to ATPase-C family members was done using ClustalX software [3]
Acknowledgement
Data 10 SSR markers data which were extracted from genomes of Homo sapiens and Monkeys are shown in Table 1. The data presented here shows that the SSR extraction with string matching was very useful and was able to reveal variation of selected genome collections. These SSR markers can be used to assess maternity, paternity, personal and theft identifications. All chromosomes of Homo sapiens and monkeys (Callithrix jacchus, Chlorocebus sabaeus, Gorilla gorilla,Macaca fascicularis, Macacamulatta, Nomascus leucogenys, Pan troglodytes, Papio anubis and Pongo abelli) are considered for the extraction of the 10 SSR markers which are shown in Table 1[1].
Experimental design, materials and methods
Data Results of reference based assembly of genomic reads of elite indica rice cultivar RP Bio-226 in tabular form are the data mentioned in this paper. The tabulated data include five types of alignment statistics data: Number of paired end reads concordantly aligned exactly only once, number of paired end reads concordantly aligned more than once, number of mates that make the pairs aligned exactly only once, number of mates that make the pairs aligned more than once and overall percentage of alignment. (Supplementary Table-1) Additionally, genomes which showed maximum alignment with rice reads with respect to the above 5 different types of data are tabulated separately and enclosed (Tables 1–5).
Experimental design, materials and methods Total DNA was isolated from the Leaves of in vitro grown Oryza sativa indica cultivar RP Bio-226 plants and sequencing library was prepared [1]. Whole genome sequencing was carried out with Illumina_Nextseq. 500 system (Illumina, San Diego, CA). The raw data files in Fastq format were used for further analysis. The pre-processing of raw reads was done with FastQC and the adapters were removed with Cutadapt tool [2,3]. After pre-processing, the reads were aligned to the reference genome by using Bowtie2 (ver. 2.2.4) [4]. The reference genomes of 2101 bacterial species including Pseudomonas aeruginosa PAO1 and Sphingopyxis granuli were downloaded from NCBI. Reference based assembly of the reads against these reference genomes involved, indexing of the reference genomes and alignment of reads to the reference and creation of SAM files. Samtools (ver 0.1.18) was used for further analysis [5]. SAM files were converted into binary BAM files, sorted and indexed by using the ‘view’, ‘sort’ and ‘index’ functions of SAMtools. The consensus sequences were created with Samtools. Genome annotation was carried out with RAST and BaySys servers [6,7]. The tRNAs were identified with tRNAscan-SE software and rRNAs were identified with Rfam software [8,9].
Acknowledgements Financial assistance from the Department of Science and Technology, Government of India through the DST-PURSE programme to Osmania University and the University Grants Commission through the UPE programme of Osmania University is acknowledged. Mettu Madhavi Reddy is supported by a Junior Research Fellowship from the Department of Biotechnology, Government of India under DBT-OU-ISLARE programme. Battu Latha is supported by the UGC-BSR-RFSMS Junior Research Fellowship. Burragoni Sravanthi Goud is supported by the UGC-BSR-RFSNS Senior Research Fellowship.