search for: gene_id

Hi, I am given the following table: > head(hsa_refseq) chr genome region start stop nu strand nu.1 nu.2 gene_id 1 chr1 hg19_refGene CDS 67000042 67000051 0 + 0 gene_id NM_032291 2 chr1 hg19_refGene exon 66999825 67000051 0 + . gene_id NM_032291 3 chr1 hg19_refGene CDS 67091530 67091593 0 + 2 gene_id NM_032291 4 chr1 hg19_refGene exon 67091530 67091593 0 + . gene_...

Dear useRs, I have a slightly complicated data structure and am stuck trying to extract what I need. I'm pasting an example of this data below. In some cases, there are duplicates in the "gene_id" column because there are two different "sample 1" values for a given "sample 2" value. Where these duplicates exist, I need to average the corresponding "FL_EARLY" values and retain the "FL_LATE" value and replace those two rows with a row containing th...

> #sort the data by predicted probability > b.order<-bo.id.pred[(order(-predict)),] > b.order[1:20,] gene_id predict 43 637882902 0.07823997 53 638101634 0.66256490 61 639084581 0.08587504 41 637832824 0.02461066 25 637261662 0.11613879 22 637240022 0.06350477 62 639084582 0.02238538 63 639097718 0.06792841 44 637943079 0.04532625 80 640158389 0.06582658 3 637006517 0.57648451 49 638072100 0.01391633...

...and reopen the R console, the problem disappear. BUt with the time passed on, the problem occurs again. Can anyone help me with this? > attach(total) The following object(s) are masked from total ( position 3 ) : acid base cell_evalue cell_hit charged freq_cell freq_hypo freq_intra gene_id gene_name hydrophobic hypo_evalue hypo_hit log_cell log_hypo log_pfam num_cell num_genes operon_id outcome pfam_align pfam_evalue pfam_per_id polar position target total_length -- Sincerely, Changbin -- [[alternative HTML version deleted]]

> head(en.id.pr) valid.gene_id b.pred rf.pred svm.pred 1521 2500151211 0 0 0 366 639679745 0 0 0 1965 2502081603 1 1 1 1420 644148030 1 1 1 1565 2500626489 1 1 1 1816 2501711016 1 1 1 > p.pred &lt...

Hi, is there any package/function in Bioconductor that can do this: if given the chromosome positions of a fragment, find out all genes within, and with the information about which strand is the sense strand. And vice versa. Thanks a lot. ----- Appreciate your time & attention! -- View this message in context: http://www.nabble.com/list-genes-w-n-a-genomic-fragment-tp18331452p18331452.html

Hi everyone, I am trying to find a way to filter a table; If I am given for example the following table: > head(intra) chr miRNA start end strand ACC hsa_ID region region_start region_end gene_id transcrip_id 1 chr1 miRNA 1102484 1102578 + ACC="MI0000342"; ID="hsa-mir-200b"; exon 1102484 1102578 NR_029639 NR_029639 2 chr1 miRNA 1103243 1103332 + ACC="MI0000737"; ID="hsa-mir-200a"; exon 1103243 1103332 NR_029834 NR_02983...

Hi All, I have an CBS segmentation algorithm output for 10 tumor samples each from 2 different tumors. Now, I am in an urgent need to assign gene (followed by all genes present) that belong to a particular segment after I removed all the CNVs from segment data. The format of the data is: Sample Chromosome Start End Num_Probes Segment_Mean Sample1A-TA 1 51598 76187 15

...gene_name. For detail problems, please see the according lines. Any suggestions are appreciated example of matching source (extract the Nnat, sometime it would be the character "N/A"): "AB004048|MM8;NCBI Build 36|transcript|chr2|157251580|157253958|ExemplarFor 'AB004048'; gene_id '18111'; transcript_id 'AB004048'; gene_name 'Nnat'; alt '5730414I02Rik|AW107673|Peg5'; neuronatin|http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=full_report&list_uids=18111" #obtain the exprs matrix for cluster analysis #as...

Dear All, I need to fetch GO ontologies for Homo sapiens with their mappings to corresponding Uniprot identifiers. I would be using this information to compare result from a clustering algorithm with existing protein complexes. This would be a test to check how the clustering algorithm accurately captures GO terms with respect to the known protein complexes. Can anyone suggest a simple workflow