10X單細(xì)胞軟件又升級(jí)啦|| Cell Ranger 3.1

The new release of Cell Ranger offers new functionality and enhancements for analyzing Feature Barcoding, V(D)J, and Gene Expression data from the Chromium Single Cell Immune Profiling and Chromium Single Cell Gene Expression Solutions.

Explore what’s new in Cell Ranger 3.1

For multi-omics data analysis:
  • Perform cell surface protein and antigenspecificity analysis individually or in combination with gene expression and V(D)J clonotypes from the same single cell. Upgrade to Loupe Cell Browser 3.1.1 for multi-omics data visualization.
  • Cluster cells in your single cell gene expression and Feature Barcoding datasets using the newly added UMAP (Uniform Manifold Approximation and Projection) algorithm.

Release notes for Cell Ranger
Download Cell Ranger
Release notes for Loupe Cell Browser
Download Loupe Cell Browser

For immune profiling data analysis:

  • Lower your sequencing burden with analysis support for 26 x 91 sequencing read configuration for V(D)J libraries.
  • Take advantage of V(D)J assembler improvements, resulting in increased sensitivity and more productive V(D)J pairs or receptors

Release notes for Cell Ranger
Download Cell Ranger

You are receiving this email as you engaged with 10x Genomics’ products or software. Download this software release to access additional data analysis capabilities.

Release Notes for Cell Ranger 3.1: Gene Expression & Feature Barcoding

Major Changes

  • Feature Barcoding Only Analysis - It is now possible to run cellranger count using only Antibody Capture libraries. Previously, Cell Ranger required at least one GEX (or VDJ) library to run, even if the customer only wants to sequence their Feature Barcoding libraries (to reduce sequencing and library preparation costs or for other reasons). In particular, cell calling now works with antibody counts only, and all secondary analyses (PCA, t-SNE, UMAP, clusterings) work with antibody-only count matrix as well. More details are available on the Feature Barcoding Only Analysis page.

  • UMAP based lower dimensionality projections of datasets analyzed by cellranger count are now produced in addition to the previously produced t-SNE projections. The projections are made available both as CSV files and as data that can be directly viewed in Loupe Cell Browser. The parameters for the projection can also be modified and experimented with using cellranger reanalyze. This alternate visualization method has become increasingly popular for visualizing single cell data since the earliest report that used it. For more details, see the description in the algorithms overview section.

  • New Web Summary Look - The Cell Ranger web_summary.html file has been updated to match the styles and formats of other 10x products. Compared to the old version users will notice new fonts and some aesthetic changes in the new version.

Minor Changes

  • Bug Fix: If equal numbers of reads with given Barcode / UMI combination map to two genes, the assignment of the Barcode / UMI are now considered ambiguous and not reported in molecule_info.h5 or the count matrix. Previously they were reported twice, once for each gene.
  • Other minor bug fixes
?著作權(quán)歸作者所有,轉(zhuǎn)載或內(nèi)容合作請(qǐng)聯(lián)系作者
  • 序言:七十年代末剧辐,一起剝皮案震驚了整個(gè)濱河市,隨后出現(xiàn)的幾起案子邮府,更是在濱河造成了極大的恐慌浙于,老刑警劉巖,帶你破解...
    沈念sama閱讀 206,013評(píng)論 6 481
  • 序言:濱河連續(xù)發(fā)生了三起死亡事件挟纱,死亡現(xiàn)場(chǎng)離奇詭異,居然都是意外死亡腐宋,警方通過(guò)查閱死者的電腦和手機(jī)紊服,發(fā)現(xiàn)死者居然都...
    沈念sama閱讀 88,205評(píng)論 2 382
  • 文/潘曉璐 我一進(jìn)店門,熙熙樓的掌柜王于貴愁眉苦臉地迎上來(lái)胸竞,“玉大人欺嗤,你說(shuō)我怎么就攤上這事∥乐Γ” “怎么了煎饼?”我有些...
    開封第一講書人閱讀 152,370評(píng)論 0 342
  • 文/不壞的土叔 我叫張陵,是天一觀的道長(zhǎng)校赤。 經(jīng)常有香客問(wèn)我吆玖,道長(zhǎng),這世上最難降的妖魔是什么马篮? 我笑而不...
    開封第一講書人閱讀 55,168評(píng)論 1 278
  • 正文 為了忘掉前任沾乘,我火速辦了婚禮,結(jié)果婚禮上浑测,老公的妹妹穿的比我還像新娘翅阵。我一直安慰自己,他們只是感情好迁央,可當(dāng)我...
    茶點(diǎn)故事閱讀 64,153評(píng)論 5 371
  • 文/花漫 我一把揭開白布掷匠。 她就那樣靜靜地躺著,像睡著了一般岖圈。 火紅的嫁衣襯著肌膚如雪讹语。 梳的紋絲不亂的頭發(fā)上,一...
    開封第一講書人閱讀 48,954評(píng)論 1 283
  • 那天蜂科,我揣著相機(jī)與錄音募强,去河邊找鬼株灸。 笑死,一個(gè)胖子當(dāng)著我的面吹牛擎值,可吹牛的內(nèi)容都是我干的慌烧。 我是一名探鬼主播,決...
    沈念sama閱讀 38,271評(píng)論 3 399
  • 文/蒼蘭香墨 我猛地睜開眼鸠儿,長(zhǎng)吁一口氣:“原來(lái)是場(chǎng)噩夢(mèng)啊……” “哼屹蚊!你這毒婦竟也來(lái)了?” 一聲冷哼從身側(cè)響起进每,我...
    開封第一講書人閱讀 36,916評(píng)論 0 259
  • 序言:老撾萬(wàn)榮一對(duì)情侶失蹤汹粤,失蹤者是張志新(化名)和其女友劉穎,沒(méi)想到半個(gè)月后田晚,有當(dāng)?shù)厝嗽跇淞掷锇l(fā)現(xiàn)了一具尸體嘱兼,經(jīng)...
    沈念sama閱讀 43,382評(píng)論 1 300
  • 正文 獨(dú)居荒郊野嶺守林人離奇死亡,尸身上長(zhǎng)有42處帶血的膿包…… 初始之章·張勛 以下內(nèi)容為張勛視角 年9月15日...
    茶點(diǎn)故事閱讀 35,877評(píng)論 2 323
  • 正文 我和宋清朗相戀三年贤徒,在試婚紗的時(shí)候發(fā)現(xiàn)自己被綠了芹壕。 大學(xué)時(shí)的朋友給我發(fā)了我未婚夫和他白月光在一起吃飯的照片。...
    茶點(diǎn)故事閱讀 37,989評(píng)論 1 333
  • 序言:一個(gè)原本活蹦亂跳的男人離奇死亡接奈,死狀恐怖踢涌,靈堂內(nèi)的尸體忽然破棺而出,到底是詐尸還是另有隱情序宦,我是刑警寧澤睁壁,帶...
    沈念sama閱讀 33,624評(píng)論 4 322
  • 正文 年R本政府宣布,位于F島的核電站互捌,受9級(jí)特大地震影響潘明,放射性物質(zhì)發(fā)生泄漏。R本人自食惡果不足惜秕噪,卻給世界環(huán)境...
    茶點(diǎn)故事閱讀 39,209評(píng)論 3 307
  • 文/蒙蒙 一钉疫、第九天 我趴在偏房一處隱蔽的房頂上張望。 院中可真熱鬧巢价,春花似錦牲阁、人聲如沸。這莊子的主人今日做“春日...
    開封第一講書人閱讀 30,199評(píng)論 0 19
  • 文/蒼蘭香墨 我抬頭看了看天上的太陽(yáng)。三九已至碉克,卻和暖如春凌唬,著一層夾襖步出監(jiān)牢的瞬間,已是汗流浹背漏麦。 一陣腳步聲響...
    開封第一講書人閱讀 31,418評(píng)論 1 260
  • 我被黑心中介騙來(lái)泰國(guó)打工客税, 沒(méi)想到剛下飛機(jī)就差點(diǎn)兒被人妖公主榨干…… 1. 我叫王不留况褪,地道東北人。 一個(gè)月前我還...
    沈念sama閱讀 45,401評(píng)論 2 352
  • 正文 我出身青樓更耻,卻偏偏與公主長(zhǎng)得像测垛,于是被迫代替她去往敵國(guó)和親。 傳聞我的和親對(duì)象是個(gè)殘疾皇子秧均,可洞房花燭夜當(dāng)晚...
    茶點(diǎn)故事閱讀 42,700評(píng)論 2 345

推薦閱讀更多精彩內(nèi)容

  • rljs by sennchi Timeline of History Part One The Cognitiv...
    sennchi閱讀 7,292評(píng)論 0 10
  • **2014真題Directions:Read the following text. Choose the be...
    又是夜半驚坐起閱讀 9,389評(píng)論 0 23
  • 感恩日記(223) 《空食侮。。目胡【馄撸》 饑腸思餐, 窮則思變誉己。 敲開智慧之門眉尸, 若飲甘泉。 凈化空間巨双, 清空自滿噪猾。 形成...
    hao黑土閱讀 173評(píng)論 0 2
  • 又到一天反思時(shí)。現(xiàn)在每天寫簡(jiǎn)書也成了我生活的一部分炉峰,把今天所發(fā)生的一些事情做一個(gè)回顧和總結(jié)是對(duì)自己人生狀態(tài)的一種解...
    涓涓1016閱讀 103評(píng)論 0 0
  • 今天是我讀《書都不會(huì)讀,你還想成功》的第三天脉执。 就在剛才我向女兒匯報(bào)了我的讀書進(jìn)程疼阔,我用三天讀了一本書,雖然只有2...
    許瑞光閱讀 282評(píng)論 2 0